Yields18.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "97bd9b6c-31c2-4f38-903b-c9545eb0b212",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "85d646c2-f224-4117-8184-a9bdffcd5e68",
   "metadata": {},
   "outputs": [],
   "source": [
    "yield_data_18=pd.read_csv('./Dataset_Potato_18_20/Yield2018.csv').drop(columns=['Unnamed: 0'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6fa069c0-107d-4479-b46a-8b3a1840de95",
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>row</th>\n",
       "      <th>bin</th>\n",
       "      <th>bed</th>\n",
       "      <th>ID</th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
       "      <th>Nconc</th>\n",
       "      <th>position</th>\n",
       "      <th>year</th>\n",
       "      <th>block</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>302</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>46.776667</td>\n",
       "      <td>8.552578</td>\n",
       "      <td>10.459561</td>\n",
       "      <td>North</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>302</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>35.462857</td>\n",
       "      <td>5.885217</td>\n",
       "      <td>14.868796</td>\n",
       "      <td>North</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>302</td>\n",
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       "      <td>3</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>30.396190</td>\n",
       "      <td>4.620471</td>\n",
       "      <td>12.563152</td>\n",
       "      <td>South</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>302</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>41.256667</td>\n",
       "      <td>5.626157</td>\n",
       "      <td>14.132663</td>\n",
       "      <td>South</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>304</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Cara</td>\n",
       "      <td>35.276667</td>\n",
       "      <td>6.482796</td>\n",
       "      <td>11.519757</td>\n",
       "      <td>North</td>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>428</td>\n",
       "      <td>597</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Cara</td>\n",
       "      <td>37.103333</td>\n",
       "      <td>7.385776</td>\n",
       "      <td>11.480825</td>\n",
       "      <td>South</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>429</td>\n",
       "      <td>599</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>35.515833</td>\n",
       "      <td>7.082659</td>\n",
       "      <td>10.493332</td>\n",
       "      <td>North</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>430</td>\n",
       "      <td>599</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>31.586667</td>\n",
       "      <td>5.768146</td>\n",
       "      <td>12.747907</td>\n",
       "      <td>North</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>431</td>\n",
       "      <td>599</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>52.647778</td>\n",
       "      <td>8.559105</td>\n",
       "      <td>10.439274</td>\n",
       "      <td>South</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>432</td>\n",
       "      <td>599</td>\n",
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       "      <td>4</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>24.766667</td>\n",
       "      <td>4.046128</td>\n",
       "      <td>11.924141</td>\n",
       "      <td>South</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sample  row  bin  bed          ID      yield   yieldDM      Nconc  \\\n",
       "0         1  302    1    3     Desiree  46.776667  8.552578  10.459561   \n",
       "1         2  302    2    3     Desiree  35.462857  5.885217  14.868796   \n",
       "2         3  302    3    3   X96_BYM_8  30.396190  4.620471  12.563152   \n",
       "3         4  302    4    3   X96_BYM_8  41.256667  5.626157  14.132663   \n",
       "4         5  304    1    3        Cara  35.276667  6.482796  11.519757   \n",
       "..      ...  ...  ...  ...         ...        ...       ...        ...   \n",
       "107     428  597    4    4        Cara  37.103333  7.385776  11.480825   \n",
       "108     429  599    1    4  X05_GQE_02  35.515833  7.082659  10.493332   \n",
       "109     430  599    2    4  X05_GQE_02  31.586667  5.768146  12.747907   \n",
       "110     431  599    3    4   X96_BYM_8  52.647778  8.559105  10.439274   \n",
       "111     432  599    4    4   X96_BYM_8  24.766667  4.046128  11.924141   \n",
       "\n",
       "    position  year  block  \n",
       "0      North  2018      2  \n",
       "1      North  2018      2  \n",
       "2      South  2018      2  \n",
       "3      South  2018      2  \n",
       "4      North  2018      2  \n",
       "..       ...   ...    ...  \n",
       "107    South  2018      4  \n",
       "108    North  2018      4  \n",
       "109    North  2018      4  \n",
       "110    South  2018      4  \n",
       "111    South  2018      4  \n",
       "\n",
       "[112 rows x 11 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yield_data_18"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "353826bc-df9a-4965-b9d7-4929a8b10c80",
   "metadata": {},
   "outputs": [],
   "source": [
    "idata=yield_data_18[['bin','bed','row','ID','position','yield','yieldDM']].copy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7455d1b6-1518-498e-9aff-c17081cdced1",
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    {
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       "      <th>ID</th>\n",
       "      <th>position</th>\n",
       "      <th>yield</th>\n",
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       "      <td>302</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
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       "      <td>8.552578</td>\n",
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       "      <th>1</th>\n",
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       "      <td>302</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
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       "      <td>302</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
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       "      <td>4.620471</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
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       "      <td>5.626157</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>304</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>35.276667</td>\n",
       "      <td>6.482796</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>597</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>37.103333</td>\n",
       "      <td>7.385776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>35.515833</td>\n",
       "      <td>7.082659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>31.586667</td>\n",
       "      <td>5.768146</td>\n",
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       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>52.647778</td>\n",
       "      <td>8.559105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>24.766667</td>\n",
       "      <td>4.046128</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     bin  bed  row          ID position      yield   yieldDM\n",
       "0      1    3  302     Desiree    North  46.776667  8.552578\n",
       "1      2    3  302     Desiree    North  35.462857  5.885217\n",
       "2      3    3  302   X96_BYM_8    South  30.396190  4.620471\n",
       "3      4    3  302   X96_BYM_8    South  41.256667  5.626157\n",
       "4      1    3  304        Cara    North  35.276667  6.482796\n",
       "..   ...  ...  ...         ...      ...        ...       ...\n",
       "107    4    4  597        Cara    South  37.103333  7.385776\n",
       "108    1    4  599  X05_GQE_02    North  35.515833  7.082659\n",
       "109    2    4  599  X05_GQE_02    North  31.586667  5.768146\n",
       "110    3    4  599   X96_BYM_8    South  52.647778  8.559105\n",
       "111    4    4  599   X96_BYM_8    South  24.766667  4.046128\n",
       "\n",
       "[112 rows x 7 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "53f6d193-fcdd-4ebf-bfe1-3229b16bcf01",
   "metadata": {},
   "outputs": [],
   "source": [
    "Y#datap_T=idata[(idata['position']=='South')&(idata['bed']==3)| (idata['position']=='North')&(idata['bed']==4)]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8b47c152-c015-4492-abc0-b7bff38efe25",
   "metadata": {},
   "outputs": [],
   "source": [
    "idata_wet_sample=idata[(idata['bed']==3)&(idata['bin']==4)| (idata['bed']==4)&(idata['bin']==1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6efd456f-cf99-449f-82e9-c1ea504b4f77",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bin</th>\n",
       "      <th>bed</th>\n",
       "      <th>row</th>\n",
       "      <th>ID</th>\n",
       "      <th>position</th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>302</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>41.256667</td>\n",
       "      <td>5.626157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>304</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>44.891667</td>\n",
       "      <td>10.824987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>306</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>37.378333</td>\n",
       "      <td>6.613151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>308</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>36.760833</td>\n",
       "      <td>6.336819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>310</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>36.778333</td>\n",
       "      <td>6.327502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>47.059167</td>\n",
       "      <td>8.353661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>51.663333</td>\n",
       "      <td>8.293126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>316</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>40.591667</td>\n",
       "      <td>5.909895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>318</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>52.345833</td>\n",
       "      <td>7.589862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>320</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>35.470833</td>\n",
       "      <td>5.947413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>322</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>45.230000</td>\n",
       "      <td>8.553751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>324</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>33.208333</td>\n",
       "      <td>6.268893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>326</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>33.172500</td>\n",
       "      <td>5.542783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>328</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>37.259167</td>\n",
       "      <td>8.130689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>573</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>33.042500</td>\n",
       "      <td>5.818784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>575</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>34.771667</td>\n",
       "      <td>8.891087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>577</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>23.187500</td>\n",
       "      <td>4.590386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>579</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>35.374167</td>\n",
       "      <td>7.434332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>581</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>33.250833</td>\n",
       "      <td>6.043598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>583</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>36.744167</td>\n",
       "      <td>5.991475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>585</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>41.651667</td>\n",
       "      <td>6.938823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>587</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>41.895000</td>\n",
       "      <td>8.725352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>589</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>43.029167</td>\n",
       "      <td>7.460980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>591</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>28.813333</td>\n",
       "      <td>5.774774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>593</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>33.794167</td>\n",
       "      <td>6.054564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>595</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>8.868968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>597</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>38.105000</td>\n",
       "      <td>7.026435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>35.515833</td>\n",
       "      <td>7.082659</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     bin  bed  row          ID position      yield    yieldDM\n",
       "3      4    3  302   X96_BYM_8    South  41.256667   5.626157\n",
       "7      4    3  304     Aventra    South  44.891667  10.824987\n",
       "11     4    3  306  X05_GQE_02    South  37.378333   6.613151\n",
       "15     4    3  308       Agria    South  36.760833   6.336819\n",
       "19     4    3  310        Cara    South  36.778333   6.327502\n",
       "23     4    3  312   X89_BJQ_4    South  47.059167   8.353661\n",
       "27     4    3  314     Desiree    South  51.663333   8.293126\n",
       "31     4    3  316   X96_BYM_8    South  40.591667   5.909895\n",
       "35     4    3  318     Desiree    South  52.345833   7.589862\n",
       "39     4    3  320        Cara    South  35.470833   5.947413\n",
       "43     4    3  322   X89_BJQ_4    South  45.230000   8.553751\n",
       "47     4    3  324       Agria    South  33.208333   6.268893\n",
       "51     4    3  326  X05_GQE_02    South  33.172500   5.542783\n",
       "55     4    3  328     Aventra    South  37.259167   8.130689\n",
       "56     1    4  573        Cara    North  33.042500   5.818784\n",
       "60     1    4  575     Aventra    North  34.771667   8.891087\n",
       "64     1    4  577       Agria    North  23.187500   4.590386\n",
       "68     1    4  579   X89_BJQ_4    North  35.374167   7.434332\n",
       "72     1    4  581  X05_GQE_02    North  33.250833   6.043598\n",
       "76     1    4  583   X96_BYM_8    North  36.744167   5.991475\n",
       "80     1    4  585     Desiree    North  41.651667   6.938823\n",
       "84     1    4  587   X89_BJQ_4    North  41.895000   8.725352\n",
       "88     1    4  589   X96_BYM_8    North  43.029167   7.460980\n",
       "92     1    4  591       Agria    North  28.813333   5.774774\n",
       "96     1    4  593        Cara    North  33.794167   6.054564\n",
       "100    1    4  595     Aventra    North  33.930000   8.868968\n",
       "104    1    4  597     Desiree    North  38.105000   7.026435\n",
       "108    1    4  599  X05_GQE_02    North  35.515833   7.082659"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata_wet_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc20603a-c464-4729-848d-f190e42736a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "idata_dry_sample=idata[(idata['bed']==3)&(idata['bin']==3)| (idata['bed']==4)&(idata['bin']==2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "789df8ac-3773-4e1c-9201-f8159faa4792",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bin</th>\n",
       "      <th>bed</th>\n",
       "      <th>row</th>\n",
       "      <th>ID</th>\n",
       "      <th>position</th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>302</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>30.396190</td>\n",
       "      <td>4.620471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>304</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>31.700952</td>\n",
       "      <td>7.900819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>306</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>29.668571</td>\n",
       "      <td>5.622899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>308</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>29.606667</td>\n",
       "      <td>5.245840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>310</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>25.018095</td>\n",
       "      <td>4.230474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>27.870476</td>\n",
       "      <td>4.239662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>37.504762</td>\n",
       "      <td>5.934992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>316</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>29.778095</td>\n",
       "      <td>5.230613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>318</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>42.790476</td>\n",
       "      <td>6.778793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>320</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>27.005714</td>\n",
       "      <td>5.100540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>322</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>35.682857</td>\n",
       "      <td>6.122789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>324</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>22.575238</td>\n",
       "      <td>4.138554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>326</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>27.672381</td>\n",
       "      <td>5.246178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>328</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>28.811429</td>\n",
       "      <td>7.254176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>573</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>26.495556</td>\n",
       "      <td>4.952361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>575</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>32.778889</td>\n",
       "      <td>8.505618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>577</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>20.561111</td>\n",
       "      <td>4.036044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>579</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>30.161111</td>\n",
       "      <td>5.012326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>581</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>27.364444</td>\n",
       "      <td>4.431570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>583</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>28.037778</td>\n",
       "      <td>5.087489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>585</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>32.900000</td>\n",
       "      <td>4.626268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>587</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>36.125556</td>\n",
       "      <td>6.136446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>589</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>34.068889</td>\n",
       "      <td>5.258101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>591</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>27.296667</td>\n",
       "      <td>4.975237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>593</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>28.976667</td>\n",
       "      <td>5.285074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>595</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>28.408889</td>\n",
       "      <td>6.542610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>597</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>32.215556</td>\n",
       "      <td>5.309294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>31.586667</td>\n",
       "      <td>5.768146</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     bin  bed  row          ID position      yield   yieldDM\n",
       "2      3    3  302   X96_BYM_8    South  30.396190  4.620471\n",
       "6      3    3  304     Aventra    South  31.700952  7.900819\n",
       "10     3    3  306  X05_GQE_02    South  29.668571  5.622899\n",
       "14     3    3  308       Agria    South  29.606667  5.245840\n",
       "18     3    3  310        Cara    South  25.018095  4.230474\n",
       "22     3    3  312   X89_BJQ_4    South  27.870476  4.239662\n",
       "26     3    3  314     Desiree    South  37.504762  5.934992\n",
       "30     3    3  316   X96_BYM_8    South  29.778095  5.230613\n",
       "34     3    3  318     Desiree    South  42.790476  6.778793\n",
       "38     3    3  320        Cara    South  27.005714  5.100540\n",
       "42     3    3  322   X89_BJQ_4    South  35.682857  6.122789\n",
       "46     3    3  324       Agria    South  22.575238  4.138554\n",
       "50     3    3  326  X05_GQE_02    South  27.672381  5.246178\n",
       "54     3    3  328     Aventra    South  28.811429  7.254176\n",
       "57     2    4  573        Cara    North  26.495556  4.952361\n",
       "61     2    4  575     Aventra    North  32.778889  8.505618\n",
       "65     2    4  577       Agria    North  20.561111  4.036044\n",
       "69     2    4  579   X89_BJQ_4    North  30.161111  5.012326\n",
       "73     2    4  581  X05_GQE_02    North  27.364444  4.431570\n",
       "77     2    4  583   X96_BYM_8    North  28.037778  5.087489\n",
       "81     2    4  585     Desiree    North  32.900000  4.626268\n",
       "85     2    4  587   X89_BJQ_4    North  36.125556  6.136446\n",
       "89     2    4  589   X96_BYM_8    North  34.068889  5.258101\n",
       "93     2    4  591       Agria    North  27.296667  4.975237\n",
       "97     2    4  593        Cara    North  28.976667  5.285074\n",
       "101    2    4  595     Aventra    North  28.408889  6.542610\n",
       "105    2    4  597     Desiree    North  32.215556  5.309294\n",
       "109    2    4  599  X05_GQE_02    North  31.586667  5.768146"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata_dry_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cd170f91-01b8-4327-8fa1-e8b9b356d14f",
   "metadata": {},
   "outputs": [],
   "source": [
    "RL=pd.read_csv('SquareRL_2018.csv').drop(columns=['Unnamed: 0'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "49398649-929b-4d72-ad98-304849005935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RL_June_SD_(37, 56]</th>\n",
       "      <th>RL_June_SD_(56, 75]</th>\n",
       "      <th>RL_June_SD_(75, 94]</th>\n",
       "      <th>RL_June_SD_(94, 112]</th>\n",
       "      <th>RL_June_SD_(112, 131]</th>\n",
       "      <th>row</th>\n",
       "      <th>RL_July_SD_(37, 56]</th>\n",
       "      <th>RL_July_SD_(56, 75]</th>\n",
       "      <th>RL_July_SD_(75, 94]</th>\n",
       "      <th>RL_July_SD_(94, 112]</th>\n",
       "      <th>RL_July_SD_(112, 131]</th>\n",
       "      <th>RL_Aug_SD_(37, 56]</th>\n",
       "      <th>RL_Aug_SD_(56, 75]</th>\n",
       "      <th>RL_Aug_SD_(75, 94]</th>\n",
       "      <th>RL_Aug_SD_(94, 112]</th>\n",
       "      <th>RL_Aug_SD_(112, 131]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.263105</td>\n",
       "      <td>0.457308</td>\n",
       "      <td>0.274402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>0.693865</td>\n",
       "      <td>0.754808</td>\n",
       "      <td>0.843774</td>\n",
       "      <td>0.714093</td>\n",
       "      <td>0.304683</td>\n",
       "      <td>0.938250</td>\n",
       "      <td>0.610977</td>\n",
       "      <td>0.749820</td>\n",
       "      <td>0.901372</td>\n",
       "      <td>0.535656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.946920</td>\n",
       "      <td>1.142678</td>\n",
       "      <td>0.323073</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.938178</td>\n",
       "      <td>1.042651</td>\n",
       "      <td>0.575498</td>\n",
       "      <td>0.419744</td>\n",
       "      <td>0.377482</td>\n",
       "      <td>0.495719</td>\n",
       "      <td>0.738647</td>\n",
       "      <td>0.598826</td>\n",
       "      <td>0.416792</td>\n",
       "      <td>0.266919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.621167</td>\n",
       "      <td>0.799662</td>\n",
       "      <td>0.135740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>1.542940</td>\n",
       "      <td>1.270779</td>\n",
       "      <td>0.716271</td>\n",
       "      <td>0.553692</td>\n",
       "      <td>0.468333</td>\n",
       "      <td>2.436921</td>\n",
       "      <td>0.803446</td>\n",
       "      <td>0.847514</td>\n",
       "      <td>0.365908</td>\n",
       "      <td>0.332468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.824641</td>\n",
       "      <td>0.590553</td>\n",
       "      <td>0.333487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>1.307850</td>\n",
       "      <td>1.478604</td>\n",
       "      <td>1.094453</td>\n",
       "      <td>0.234864</td>\n",
       "      <td>0.731794</td>\n",
       "      <td>1.706155</td>\n",
       "      <td>1.210569</td>\n",
       "      <td>0.997841</td>\n",
       "      <td>0.281171</td>\n",
       "      <td>0.308059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.997321</td>\n",
       "      <td>1.192406</td>\n",
       "      <td>0.311265</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>1.727593</td>\n",
       "      <td>2.161364</td>\n",
       "      <td>1.391779</td>\n",
       "      <td>0.890703</td>\n",
       "      <td>1.111411</td>\n",
       "      <td>2.079387</td>\n",
       "      <td>1.697977</td>\n",
       "      <td>1.150433</td>\n",
       "      <td>1.270185</td>\n",
       "      <td>0.146968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.820696</td>\n",
       "      <td>0.872357</td>\n",
       "      <td>0.228022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>312.0</td>\n",
       "      <td>1.369414</td>\n",
       "      <td>1.430851</td>\n",
       "      <td>0.874579</td>\n",
       "      <td>1.143368</td>\n",
       "      <td>0.765294</td>\n",
       "      <td>1.536918</td>\n",
       "      <td>1.094858</td>\n",
       "      <td>0.922141</td>\n",
       "      <td>0.980602</td>\n",
       "      <td>0.414378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.959610</td>\n",
       "      <td>1.041878</td>\n",
       "      <td>0.259099</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>1.492477</td>\n",
       "      <td>1.244581</td>\n",
       "      <td>0.796322</td>\n",
       "      <td>0.576165</td>\n",
       "      <td>0.414182</td>\n",
       "      <td>1.302634</td>\n",
       "      <td>0.894269</td>\n",
       "      <td>0.817546</td>\n",
       "      <td>0.591919</td>\n",
       "      <td>0.625501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.449577</td>\n",
       "      <td>0.575709</td>\n",
       "      <td>0.295029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1.428918</td>\n",
       "      <td>1.144363</td>\n",
       "      <td>0.657748</td>\n",
       "      <td>0.811051</td>\n",
       "      <td>0.252783</td>\n",
       "      <td>1.381483</td>\n",
       "      <td>1.150781</td>\n",
       "      <td>0.741406</td>\n",
       "      <td>0.746302</td>\n",
       "      <td>0.436059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.913714</td>\n",
       "      <td>0.962656</td>\n",
       "      <td>0.251559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>1.310801</td>\n",
       "      <td>1.085103</td>\n",
       "      <td>0.657798</td>\n",
       "      <td>0.448145</td>\n",
       "      <td>0.659831</td>\n",
       "      <td>1.416428</td>\n",
       "      <td>0.833186</td>\n",
       "      <td>0.728420</td>\n",
       "      <td>0.470559</td>\n",
       "      <td>0.525321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.853634</td>\n",
       "      <td>0.815584</td>\n",
       "      <td>0.206826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>1.690771</td>\n",
       "      <td>1.341566</td>\n",
       "      <td>0.988391</td>\n",
       "      <td>0.611010</td>\n",
       "      <td>0.262636</td>\n",
       "      <td>0.953826</td>\n",
       "      <td>1.521529</td>\n",
       "      <td>0.909920</td>\n",
       "      <td>0.786490</td>\n",
       "      <td>0.387429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.616396</td>\n",
       "      <td>0.915719</td>\n",
       "      <td>0.329843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>1.278781</td>\n",
       "      <td>1.524084</td>\n",
       "      <td>1.253224</td>\n",
       "      <td>0.487812</td>\n",
       "      <td>0.119700</td>\n",
       "      <td>1.059193</td>\n",
       "      <td>1.299594</td>\n",
       "      <td>0.944250</td>\n",
       "      <td>0.500850</td>\n",
       "      <td>0.548939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.598584</td>\n",
       "      <td>0.476049</td>\n",
       "      <td>0.152353</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>1.313649</td>\n",
       "      <td>0.848096</td>\n",
       "      <td>0.642748</td>\n",
       "      <td>0.483556</td>\n",
       "      <td>0.155217</td>\n",
       "      <td>1.006992</td>\n",
       "      <td>0.571955</td>\n",
       "      <td>0.547530</td>\n",
       "      <td>0.629512</td>\n",
       "      <td>0.328746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.740990</td>\n",
       "      <td>0.449623</td>\n",
       "      <td>0.331905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>1.047609</td>\n",
       "      <td>0.766707</td>\n",
       "      <td>0.683778</td>\n",
       "      <td>0.505200</td>\n",
       "      <td>0.131231</td>\n",
       "      <td>1.811482</td>\n",
       "      <td>0.725478</td>\n",
       "      <td>0.694565</td>\n",
       "      <td>0.573918</td>\n",
       "      <td>0.142322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.504548</td>\n",
       "      <td>0.709562</td>\n",
       "      <td>0.242760</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>0.626287</td>\n",
       "      <td>0.924370</td>\n",
       "      <td>0.697933</td>\n",
       "      <td>0.431036</td>\n",
       "      <td>0.201517</td>\n",
       "      <td>0.676741</td>\n",
       "      <td>0.513312</td>\n",
       "      <td>0.424295</td>\n",
       "      <td>0.351064</td>\n",
       "      <td>0.105719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.475999</td>\n",
       "      <td>0.655066</td>\n",
       "      <td>0.168202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>1.908200</td>\n",
       "      <td>1.875616</td>\n",
       "      <td>1.124065</td>\n",
       "      <td>0.800862</td>\n",
       "      <td>0.084853</td>\n",
       "      <td>1.624206</td>\n",
       "      <td>1.674526</td>\n",
       "      <td>1.219241</td>\n",
       "      <td>0.819075</td>\n",
       "      <td>0.293145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.973458</td>\n",
       "      <td>0.845570</td>\n",
       "      <td>0.380124</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>575.0</td>\n",
       "      <td>1.036827</td>\n",
       "      <td>1.097573</td>\n",
       "      <td>0.892767</td>\n",
       "      <td>0.423482</td>\n",
       "      <td>0.735218</td>\n",
       "      <td>0.798309</td>\n",
       "      <td>0.978211</td>\n",
       "      <td>0.729631</td>\n",
       "      <td>0.369490</td>\n",
       "      <td>0.461864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.584989</td>\n",
       "      <td>0.402678</td>\n",
       "      <td>0.173009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>1.109461</td>\n",
       "      <td>1.300799</td>\n",
       "      <td>0.373769</td>\n",
       "      <td>0.234735</td>\n",
       "      <td>0.345018</td>\n",
       "      <td>0.977332</td>\n",
       "      <td>1.135663</td>\n",
       "      <td>0.499744</td>\n",
       "      <td>0.301548</td>\n",
       "      <td>0.445424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.903957</td>\n",
       "      <td>1.571725</td>\n",
       "      <td>0.492313</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>1.490845</td>\n",
       "      <td>1.676228</td>\n",
       "      <td>0.736724</td>\n",
       "      <td>0.547726</td>\n",
       "      <td>0.696232</td>\n",
       "      <td>1.190239</td>\n",
       "      <td>1.579815</td>\n",
       "      <td>0.730336</td>\n",
       "      <td>0.521986</td>\n",
       "      <td>0.480682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.333349</td>\n",
       "      <td>1.116365</td>\n",
       "      <td>0.600248</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>581.0</td>\n",
       "      <td>1.004700</td>\n",
       "      <td>1.361518</td>\n",
       "      <td>1.081822</td>\n",
       "      <td>0.525925</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.758744</td>\n",
       "      <td>1.431955</td>\n",
       "      <td>1.078867</td>\n",
       "      <td>0.549469</td>\n",
       "      <td>0.649707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.078862</td>\n",
       "      <td>1.147253</td>\n",
       "      <td>0.714905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>583.0</td>\n",
       "      <td>1.155547</td>\n",
       "      <td>1.456413</td>\n",
       "      <td>0.857358</td>\n",
       "      <td>0.289136</td>\n",
       "      <td>0.200958</td>\n",
       "      <td>0.979406</td>\n",
       "      <td>1.371276</td>\n",
       "      <td>0.802298</td>\n",
       "      <td>0.187741</td>\n",
       "      <td>0.234489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.114050</td>\n",
       "      <td>0.551193</td>\n",
       "      <td>0.212472</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>1.194580</td>\n",
       "      <td>0.746601</td>\n",
       "      <td>0.762529</td>\n",
       "      <td>0.982688</td>\n",
       "      <td>0.232315</td>\n",
       "      <td>1.173848</td>\n",
       "      <td>0.738731</td>\n",
       "      <td>0.663431</td>\n",
       "      <td>0.859895</td>\n",
       "      <td>0.092794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.038609</td>\n",
       "      <td>1.227132</td>\n",
       "      <td>0.335878</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587.0</td>\n",
       "      <td>1.515036</td>\n",
       "      <td>1.239715</td>\n",
       "      <td>1.187828</td>\n",
       "      <td>0.417436</td>\n",
       "      <td>0.409292</td>\n",
       "      <td>1.269921</td>\n",
       "      <td>1.143895</td>\n",
       "      <td>1.325950</td>\n",
       "      <td>0.674260</td>\n",
       "      <td>0.391743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.736470</td>\n",
       "      <td>0.472995</td>\n",
       "      <td>0.185990</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>589.0</td>\n",
       "      <td>0.869001</td>\n",
       "      <td>1.544981</td>\n",
       "      <td>0.568362</td>\n",
       "      <td>0.408325</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.887568</td>\n",
       "      <td>0.877863</td>\n",
       "      <td>0.315087</td>\n",
       "      <td>0.337469</td>\n",
       "      <td>0.448602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.207787</td>\n",
       "      <td>0.518297</td>\n",
       "      <td>0.242937</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>591.0</td>\n",
       "      <td>0.567950</td>\n",
       "      <td>1.185463</td>\n",
       "      <td>0.571425</td>\n",
       "      <td>0.425144</td>\n",
       "      <td>1.172258</td>\n",
       "      <td>0.562475</td>\n",
       "      <td>1.137307</td>\n",
       "      <td>0.513008</td>\n",
       "      <td>0.418033</td>\n",
       "      <td>0.606405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.271642</td>\n",
       "      <td>0.626345</td>\n",
       "      <td>0.490731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>0.881564</td>\n",
       "      <td>1.273689</td>\n",
       "      <td>0.690301</td>\n",
       "      <td>1.172854</td>\n",
       "      <td>1.099354</td>\n",
       "      <td>0.480597</td>\n",
       "      <td>1.012277</td>\n",
       "      <td>0.837520</td>\n",
       "      <td>1.152572</td>\n",
       "      <td>0.463525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.421466</td>\n",
       "      <td>1.257372</td>\n",
       "      <td>0.320440</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>595.0</td>\n",
       "      <td>1.043006</td>\n",
       "      <td>1.261736</td>\n",
       "      <td>0.638282</td>\n",
       "      <td>0.469954</td>\n",
       "      <td>0.354926</td>\n",
       "      <td>0.887658</td>\n",
       "      <td>1.101397</td>\n",
       "      <td>0.480853</td>\n",
       "      <td>0.382461</td>\n",
       "      <td>0.248958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.638497</td>\n",
       "      <td>0.967351</td>\n",
       "      <td>0.759831</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>1.312317</td>\n",
       "      <td>1.092645</td>\n",
       "      <td>0.951850</td>\n",
       "      <td>1.154027</td>\n",
       "      <td>0.118322</td>\n",
       "      <td>1.206917</td>\n",
       "      <td>0.752667</td>\n",
       "      <td>0.983498</td>\n",
       "      <td>0.952752</td>\n",
       "      <td>0.332494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.783577</td>\n",
       "      <td>1.042337</td>\n",
       "      <td>0.452533</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>1.247565</td>\n",
       "      <td>1.201970</td>\n",
       "      <td>1.054833</td>\n",
       "      <td>0.783349</td>\n",
       "      <td>0.744703</td>\n",
       "      <td>0.944208</td>\n",
       "      <td>1.139997</td>\n",
       "      <td>0.870513</td>\n",
       "      <td>0.689128</td>\n",
       "      <td>0.565737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    RL_June_SD_(37, 56]  RL_June_SD_(56, 75]  RL_June_SD_(75, 94]  \\\n",
       "0              0.263105             0.457308             0.274402   \n",
       "1              0.946920             1.142678             0.323073   \n",
       "2              1.621167             0.799662             0.135740   \n",
       "3              0.824641             0.590553             0.333487   \n",
       "4              0.997321             1.192406             0.311265   \n",
       "5              0.820696             0.872357             0.228022   \n",
       "6              0.959610             1.041878             0.259099   \n",
       "7              1.449577             0.575709             0.295029   \n",
       "8              0.913714             0.962656             0.251559   \n",
       "9              0.853634             0.815584             0.206826   \n",
       "10             0.616396             0.915719             0.329843   \n",
       "11             0.598584             0.476049             0.152353   \n",
       "12             0.740990             0.449623             0.331905   \n",
       "13             0.504548             0.709562             0.242760   \n",
       "14             1.475999             0.655066             0.168202   \n",
       "15             0.973458             0.845570             0.380124   \n",
       "16             0.584989             0.402678             0.173009   \n",
       "17             0.903957             1.571725             0.492313   \n",
       "18             0.333349             1.116365             0.600248   \n",
       "19             1.078862             1.147253             0.714905   \n",
       "20             1.114050             0.551193             0.212472   \n",
       "21             1.038609             1.227132             0.335878   \n",
       "22             0.736470             0.472995             0.185990   \n",
       "23             0.207787             0.518297             0.242937   \n",
       "24             0.271642             0.626345             0.490731   \n",
       "25             1.421466             1.257372             0.320440   \n",
       "26             0.638497             0.967351             0.759831   \n",
       "27             0.783577             1.042337             0.452533   \n",
       "\n",
       "    RL_June_SD_(94, 112]  RL_June_SD_(112, 131]    row  RL_July_SD_(37, 56]  \\\n",
       "0                    0.0                    0.0  302.0             0.693865   \n",
       "1                    0.0                    0.0  304.0             0.938178   \n",
       "2                    0.0                    0.0  306.0             1.542940   \n",
       "3                    0.0                    0.0  308.0             1.307850   \n",
       "4                    0.0                    0.0  310.0             1.727593   \n",
       "5                    0.0                    0.0  312.0             1.369414   \n",
       "6                    0.0                    0.0  314.0             1.492477   \n",
       "7                    0.0                    0.0  316.0             1.428918   \n",
       "8                    0.0                    0.0  318.0             1.310801   \n",
       "9                    0.0                    0.0  320.0             1.690771   \n",
       "10                   0.0                    0.0  322.0             1.278781   \n",
       "11                   0.0                    0.0  324.0             1.313649   \n",
       "12                   0.0                    0.0  326.0             1.047609   \n",
       "13                   0.0                    0.0  328.0             0.626287   \n",
       "14                   0.0                    0.0  573.0             1.908200   \n",
       "15                   0.0                    0.0  575.0             1.036827   \n",
       "16                   0.0                    0.0  577.0             1.109461   \n",
       "17                   0.0                    0.0  579.0             1.490845   \n",
       "18                   0.0                    0.0  581.0             1.004700   \n",
       "19                   0.0                    0.0  583.0             1.155547   \n",
       "20                   0.0                    0.0  585.0             1.194580   \n",
       "21                   0.0                    0.0  587.0             1.515036   \n",
       "22                   0.0                    0.0  589.0             0.869001   \n",
       "23                   0.0                    0.0  591.0             0.567950   \n",
       "24                   0.0                    0.0  593.0             0.881564   \n",
       "25                   0.0                    0.0  595.0             1.043006   \n",
       "26                   0.0                    0.0  597.0             1.312317   \n",
       "27                   0.0                    0.0  599.0             1.247565   \n",
       "\n",
       "    RL_July_SD_(56, 75]  RL_July_SD_(75, 94]  RL_July_SD_(94, 112]  \\\n",
       "0              0.754808             0.843774              0.714093   \n",
       "1              1.042651             0.575498              0.419744   \n",
       "2              1.270779             0.716271              0.553692   \n",
       "3              1.478604             1.094453              0.234864   \n",
       "4              2.161364             1.391779              0.890703   \n",
       "5              1.430851             0.874579              1.143368   \n",
       "6              1.244581             0.796322              0.576165   \n",
       "7              1.144363             0.657748              0.811051   \n",
       "8              1.085103             0.657798              0.448145   \n",
       "9              1.341566             0.988391              0.611010   \n",
       "10             1.524084             1.253224              0.487812   \n",
       "11             0.848096             0.642748              0.483556   \n",
       "12             0.766707             0.683778              0.505200   \n",
       "13             0.924370             0.697933              0.431036   \n",
       "14             1.875616             1.124065              0.800862   \n",
       "15             1.097573             0.892767              0.423482   \n",
       "16             1.300799             0.373769              0.234735   \n",
       "17             1.676228             0.736724              0.547726   \n",
       "18             1.361518             1.081822              0.525925   \n",
       "19             1.456413             0.857358              0.289136   \n",
       "20             0.746601             0.762529              0.982688   \n",
       "21             1.239715             1.187828              0.417436   \n",
       "22             1.544981             0.568362              0.408325   \n",
       "23             1.185463             0.571425              0.425144   \n",
       "24             1.273689             0.690301              1.172854   \n",
       "25             1.261736             0.638282              0.469954   \n",
       "26             1.092645             0.951850              1.154027   \n",
       "27             1.201970             1.054833              0.783349   \n",
       "\n",
       "    RL_July_SD_(112, 131]  RL_Aug_SD_(37, 56]  RL_Aug_SD_(56, 75]  \\\n",
       "0                0.304683            0.938250            0.610977   \n",
       "1                0.377482            0.495719            0.738647   \n",
       "2                0.468333            2.436921            0.803446   \n",
       "3                0.731794            1.706155            1.210569   \n",
       "4                1.111411            2.079387            1.697977   \n",
       "5                0.765294            1.536918            1.094858   \n",
       "6                0.414182            1.302634            0.894269   \n",
       "7                0.252783            1.381483            1.150781   \n",
       "8                0.659831            1.416428            0.833186   \n",
       "9                0.262636            0.953826            1.521529   \n",
       "10               0.119700            1.059193            1.299594   \n",
       "11               0.155217            1.006992            0.571955   \n",
       "12               0.131231            1.811482            0.725478   \n",
       "13               0.201517            0.676741            0.513312   \n",
       "14               0.084853            1.624206            1.674526   \n",
       "15               0.735218            0.798309            0.978211   \n",
       "16               0.345018            0.977332            1.135663   \n",
       "17               0.696232            1.190239            1.579815   \n",
       "18               0.138564            0.758744            1.431955   \n",
       "19               0.200958            0.979406            1.371276   \n",
       "20               0.232315            1.173848            0.738731   \n",
       "21               0.409292            1.269921            1.143895   \n",
       "22               0.000000            0.887568            0.877863   \n",
       "23               1.172258            0.562475            1.137307   \n",
       "24               1.099354            0.480597            1.012277   \n",
       "25               0.354926            0.887658            1.101397   \n",
       "26               0.118322            1.206917            0.752667   \n",
       "27               0.744703            0.944208            1.139997   \n",
       "\n",
       "    RL_Aug_SD_(75, 94]  RL_Aug_SD_(94, 112]  RL_Aug_SD_(112, 131]  \n",
       "0             0.749820             0.901372              0.535656  \n",
       "1             0.598826             0.416792              0.266919  \n",
       "2             0.847514             0.365908              0.332468  \n",
       "3             0.997841             0.281171              0.308059  \n",
       "4             1.150433             1.270185              0.146968  \n",
       "5             0.922141             0.980602              0.414378  \n",
       "6             0.817546             0.591919              0.625501  \n",
       "7             0.741406             0.746302              0.436059  \n",
       "8             0.728420             0.470559              0.525321  \n",
       "9             0.909920             0.786490              0.387429  \n",
       "10            0.944250             0.500850              0.548939  \n",
       "11            0.547530             0.629512              0.328746  \n",
       "12            0.694565             0.573918              0.142322  \n",
       "13            0.424295             0.351064              0.105719  \n",
       "14            1.219241             0.819075              0.293145  \n",
       "15            0.729631             0.369490              0.461864  \n",
       "16            0.499744             0.301548              0.445424  \n",
       "17            0.730336             0.521986              0.480682  \n",
       "18            1.078867             0.549469              0.649707  \n",
       "19            0.802298             0.187741              0.234489  \n",
       "20            0.663431             0.859895              0.092794  \n",
       "21            1.325950             0.674260              0.391743  \n",
       "22            0.315087             0.337469              0.448602  \n",
       "23            0.513008             0.418033              0.606405  \n",
       "24            0.837520             1.152572              0.463525  \n",
       "25            0.480853             0.382461              0.248958  \n",
       "26            0.983498             0.952752              0.332494  \n",
       "27            0.870513             0.689128              0.565737  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e91e439e-b613-4740-b092-484cbd5676cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.merge(idata_dry_sample,RL,on='row').to_csv('SQRL_Dry_Yields_average_tube_2018.csv')\n",
    "pd.merge(idata_wet_sample,RL,on='row').to_csv('SQRL_Wet_Yields_average_tube_2018.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9589d5a-1de3-4da4-84f6-bb120f8e279f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fa7bfa3e-c928-481f-a6ae-0b0add8fde38",
   "metadata": {},
   "outputs": [],
   "source": [
    "RL_yields_Dry=pd.merge(idata_dry_sample,RL,on='row')\n",
    "RL_yields_Wet=pd.merge(idata_wet_sample,RL,on='row')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0fb094d2-56a1-48c8-9753-90cf992581a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bin</th>\n",
       "      <th>bed</th>\n",
       "      <th>row</th>\n",
       "      <th>ID</th>\n",
       "      <th>position</th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
       "      <th>RL_June_SD_(37, 56]</th>\n",
       "      <th>RL_June_SD_(56, 75]</th>\n",
       "      <th>RL_June_SD_(75, 94]</th>\n",
       "      <th>...</th>\n",
       "      <th>RL_July_SD_(37, 56]</th>\n",
       "      <th>RL_July_SD_(56, 75]</th>\n",
       "      <th>RL_July_SD_(75, 94]</th>\n",
       "      <th>RL_July_SD_(94, 112]</th>\n",
       "      <th>RL_July_SD_(112, 131]</th>\n",
       "      <th>RL_Aug_SD_(37, 56]</th>\n",
       "      <th>RL_Aug_SD_(56, 75]</th>\n",
       "      <th>RL_Aug_SD_(75, 94]</th>\n",
       "      <th>RL_Aug_SD_(94, 112]</th>\n",
       "      <th>RL_Aug_SD_(112, 131]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>302</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>30.396190</td>\n",
       "      <td>4.620471</td>\n",
       "      <td>0.263105</td>\n",
       "      <td>0.457308</td>\n",
       "      <td>0.274402</td>\n",
       "      <td>...</td>\n",
       "      <td>0.693865</td>\n",
       "      <td>0.754808</td>\n",
       "      <td>0.843774</td>\n",
       "      <td>0.714093</td>\n",
       "      <td>0.304683</td>\n",
       "      <td>0.938250</td>\n",
       "      <td>0.610977</td>\n",
       "      <td>0.749820</td>\n",
       "      <td>0.901372</td>\n",
       "      <td>0.535656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>304</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>31.700952</td>\n",
       "      <td>7.900819</td>\n",
       "      <td>0.946920</td>\n",
       "      <td>1.142678</td>\n",
       "      <td>0.323073</td>\n",
       "      <td>...</td>\n",
       "      <td>0.938178</td>\n",
       "      <td>1.042651</td>\n",
       "      <td>0.575498</td>\n",
       "      <td>0.419744</td>\n",
       "      <td>0.377482</td>\n",
       "      <td>0.495719</td>\n",
       "      <td>0.738647</td>\n",
       "      <td>0.598826</td>\n",
       "      <td>0.416792</td>\n",
       "      <td>0.266919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>306</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>29.668571</td>\n",
       "      <td>5.622899</td>\n",
       "      <td>1.621167</td>\n",
       "      <td>0.799662</td>\n",
       "      <td>0.135740</td>\n",
       "      <td>...</td>\n",
       "      <td>1.542940</td>\n",
       "      <td>1.270779</td>\n",
       "      <td>0.716271</td>\n",
       "      <td>0.553692</td>\n",
       "      <td>0.468333</td>\n",
       "      <td>2.436921</td>\n",
       "      <td>0.803446</td>\n",
       "      <td>0.847514</td>\n",
       "      <td>0.365908</td>\n",
       "      <td>0.332468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>308</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>29.606667</td>\n",
       "      <td>5.245840</td>\n",
       "      <td>0.824641</td>\n",
       "      <td>0.590553</td>\n",
       "      <td>0.333487</td>\n",
       "      <td>...</td>\n",
       "      <td>1.307850</td>\n",
       "      <td>1.478604</td>\n",
       "      <td>1.094453</td>\n",
       "      <td>0.234864</td>\n",
       "      <td>0.731794</td>\n",
       "      <td>1.706155</td>\n",
       "      <td>1.210569</td>\n",
       "      <td>0.997841</td>\n",
       "      <td>0.281171</td>\n",
       "      <td>0.308059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>310</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>25.018095</td>\n",
       "      <td>4.230474</td>\n",
       "      <td>0.997321</td>\n",
       "      <td>1.192406</td>\n",
       "      <td>0.311265</td>\n",
       "      <td>...</td>\n",
       "      <td>1.727593</td>\n",
       "      <td>2.161364</td>\n",
       "      <td>1.391779</td>\n",
       "      <td>0.890703</td>\n",
       "      <td>1.111411</td>\n",
       "      <td>2.079387</td>\n",
       "      <td>1.697977</td>\n",
       "      <td>1.150433</td>\n",
       "      <td>1.270185</td>\n",
       "      <td>0.146968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>27.870476</td>\n",
       "      <td>4.239662</td>\n",
       "      <td>0.820696</td>\n",
       "      <td>0.872357</td>\n",
       "      <td>0.228022</td>\n",
       "      <td>...</td>\n",
       "      <td>1.369414</td>\n",
       "      <td>1.430851</td>\n",
       "      <td>0.874579</td>\n",
       "      <td>1.143368</td>\n",
       "      <td>0.765294</td>\n",
       "      <td>1.536918</td>\n",
       "      <td>1.094858</td>\n",
       "      <td>0.922141</td>\n",
       "      <td>0.980602</td>\n",
       "      <td>0.414378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>37.504762</td>\n",
       "      <td>5.934992</td>\n",
       "      <td>0.959610</td>\n",
       "      <td>1.041878</td>\n",
       "      <td>0.259099</td>\n",
       "      <td>...</td>\n",
       "      <td>1.492477</td>\n",
       "      <td>1.244581</td>\n",
       "      <td>0.796322</td>\n",
       "      <td>0.576165</td>\n",
       "      <td>0.414182</td>\n",
       "      <td>1.302634</td>\n",
       "      <td>0.894269</td>\n",
       "      <td>0.817546</td>\n",
       "      <td>0.591919</td>\n",
       "      <td>0.625501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>316</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>South</td>\n",
       "      <td>29.778095</td>\n",
       "      <td>5.230613</td>\n",
       "      <td>1.449577</td>\n",
       "      <td>0.575709</td>\n",
       "      <td>0.295029</td>\n",
       "      <td>...</td>\n",
       "      <td>1.428918</td>\n",
       "      <td>1.144363</td>\n",
       "      <td>0.657748</td>\n",
       "      <td>0.811051</td>\n",
       "      <td>0.252783</td>\n",
       "      <td>1.381483</td>\n",
       "      <td>1.150781</td>\n",
       "      <td>0.741406</td>\n",
       "      <td>0.746302</td>\n",
       "      <td>0.436059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>318</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>South</td>\n",
       "      <td>42.790476</td>\n",
       "      <td>6.778793</td>\n",
       "      <td>0.913714</td>\n",
       "      <td>0.962656</td>\n",
       "      <td>0.251559</td>\n",
       "      <td>...</td>\n",
       "      <td>1.310801</td>\n",
       "      <td>1.085103</td>\n",
       "      <td>0.657798</td>\n",
       "      <td>0.448145</td>\n",
       "      <td>0.659831</td>\n",
       "      <td>1.416428</td>\n",
       "      <td>0.833186</td>\n",
       "      <td>0.728420</td>\n",
       "      <td>0.470559</td>\n",
       "      <td>0.525321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>320</td>\n",
       "      <td>Cara</td>\n",
       "      <td>South</td>\n",
       "      <td>27.005714</td>\n",
       "      <td>5.100540</td>\n",
       "      <td>0.853634</td>\n",
       "      <td>0.815584</td>\n",
       "      <td>0.206826</td>\n",
       "      <td>...</td>\n",
       "      <td>1.690771</td>\n",
       "      <td>1.341566</td>\n",
       "      <td>0.988391</td>\n",
       "      <td>0.611010</td>\n",
       "      <td>0.262636</td>\n",
       "      <td>0.953826</td>\n",
       "      <td>1.521529</td>\n",
       "      <td>0.909920</td>\n",
       "      <td>0.786490</td>\n",
       "      <td>0.387429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>322</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>South</td>\n",
       "      <td>35.682857</td>\n",
       "      <td>6.122789</td>\n",
       "      <td>0.616396</td>\n",
       "      <td>0.915719</td>\n",
       "      <td>0.329843</td>\n",
       "      <td>...</td>\n",
       "      <td>1.278781</td>\n",
       "      <td>1.524084</td>\n",
       "      <td>1.253224</td>\n",
       "      <td>0.487812</td>\n",
       "      <td>0.119700</td>\n",
       "      <td>1.059193</td>\n",
       "      <td>1.299594</td>\n",
       "      <td>0.944250</td>\n",
       "      <td>0.500850</td>\n",
       "      <td>0.548939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>324</td>\n",
       "      <td>Agria</td>\n",
       "      <td>South</td>\n",
       "      <td>22.575238</td>\n",
       "      <td>4.138554</td>\n",
       "      <td>0.598584</td>\n",
       "      <td>0.476049</td>\n",
       "      <td>0.152353</td>\n",
       "      <td>...</td>\n",
       "      <td>1.313649</td>\n",
       "      <td>0.848096</td>\n",
       "      <td>0.642748</td>\n",
       "      <td>0.483556</td>\n",
       "      <td>0.155217</td>\n",
       "      <td>1.006992</td>\n",
       "      <td>0.571955</td>\n",
       "      <td>0.547530</td>\n",
       "      <td>0.629512</td>\n",
       "      <td>0.328746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>326</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>South</td>\n",
       "      <td>27.672381</td>\n",
       "      <td>5.246178</td>\n",
       "      <td>0.740990</td>\n",
       "      <td>0.449623</td>\n",
       "      <td>0.331905</td>\n",
       "      <td>...</td>\n",
       "      <td>1.047609</td>\n",
       "      <td>0.766707</td>\n",
       "      <td>0.683778</td>\n",
       "      <td>0.505200</td>\n",
       "      <td>0.131231</td>\n",
       "      <td>1.811482</td>\n",
       "      <td>0.725478</td>\n",
       "      <td>0.694565</td>\n",
       "      <td>0.573918</td>\n",
       "      <td>0.142322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>328</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>South</td>\n",
       "      <td>28.811429</td>\n",
       "      <td>7.254176</td>\n",
       "      <td>0.504548</td>\n",
       "      <td>0.709562</td>\n",
       "      <td>0.242760</td>\n",
       "      <td>...</td>\n",
       "      <td>0.626287</td>\n",
       "      <td>0.924370</td>\n",
       "      <td>0.697933</td>\n",
       "      <td>0.431036</td>\n",
       "      <td>0.201517</td>\n",
       "      <td>0.676741</td>\n",
       "      <td>0.513312</td>\n",
       "      <td>0.424295</td>\n",
       "      <td>0.351064</td>\n",
       "      <td>0.105719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>573</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>26.495556</td>\n",
       "      <td>4.952361</td>\n",
       "      <td>1.475999</td>\n",
       "      <td>0.655066</td>\n",
       "      <td>0.168202</td>\n",
       "      <td>...</td>\n",
       "      <td>1.908200</td>\n",
       "      <td>1.875616</td>\n",
       "      <td>1.124065</td>\n",
       "      <td>0.800862</td>\n",
       "      <td>0.084853</td>\n",
       "      <td>1.624206</td>\n",
       "      <td>1.674526</td>\n",
       "      <td>1.219241</td>\n",
       "      <td>0.819075</td>\n",
       "      <td>0.293145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>575</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>32.778889</td>\n",
       "      <td>8.505618</td>\n",
       "      <td>0.973458</td>\n",
       "      <td>0.845570</td>\n",
       "      <td>0.380124</td>\n",
       "      <td>...</td>\n",
       "      <td>1.036827</td>\n",
       "      <td>1.097573</td>\n",
       "      <td>0.892767</td>\n",
       "      <td>0.423482</td>\n",
       "      <td>0.735218</td>\n",
       "      <td>0.798309</td>\n",
       "      <td>0.978211</td>\n",
       "      <td>0.729631</td>\n",
       "      <td>0.369490</td>\n",
       "      <td>0.461864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>577</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>20.561111</td>\n",
       "      <td>4.036044</td>\n",
       "      <td>0.584989</td>\n",
       "      <td>0.402678</td>\n",
       "      <td>0.173009</td>\n",
       "      <td>...</td>\n",
       "      <td>1.109461</td>\n",
       "      <td>1.300799</td>\n",
       "      <td>0.373769</td>\n",
       "      <td>0.234735</td>\n",
       "      <td>0.345018</td>\n",
       "      <td>0.977332</td>\n",
       "      <td>1.135663</td>\n",
       "      <td>0.499744</td>\n",
       "      <td>0.301548</td>\n",
       "      <td>0.445424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>579</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>30.161111</td>\n",
       "      <td>5.012326</td>\n",
       "      <td>0.903957</td>\n",
       "      <td>1.571725</td>\n",
       "      <td>0.492313</td>\n",
       "      <td>...</td>\n",
       "      <td>1.490845</td>\n",
       "      <td>1.676228</td>\n",
       "      <td>0.736724</td>\n",
       "      <td>0.547726</td>\n",
       "      <td>0.696232</td>\n",
       "      <td>1.190239</td>\n",
       "      <td>1.579815</td>\n",
       "      <td>0.730336</td>\n",
       "      <td>0.521986</td>\n",
       "      <td>0.480682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>581</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>27.364444</td>\n",
       "      <td>4.431570</td>\n",
       "      <td>0.333349</td>\n",
       "      <td>1.116365</td>\n",
       "      <td>0.600248</td>\n",
       "      <td>...</td>\n",
       "      <td>1.004700</td>\n",
       "      <td>1.361518</td>\n",
       "      <td>1.081822</td>\n",
       "      <td>0.525925</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.758744</td>\n",
       "      <td>1.431955</td>\n",
       "      <td>1.078867</td>\n",
       "      <td>0.549469</td>\n",
       "      <td>0.649707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>583</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>28.037778</td>\n",
       "      <td>5.087489</td>\n",
       "      <td>1.078862</td>\n",
       "      <td>1.147253</td>\n",
       "      <td>0.714905</td>\n",
       "      <td>...</td>\n",
       "      <td>1.155547</td>\n",
       "      <td>1.456413</td>\n",
       "      <td>0.857358</td>\n",
       "      <td>0.289136</td>\n",
       "      <td>0.200958</td>\n",
       "      <td>0.979406</td>\n",
       "      <td>1.371276</td>\n",
       "      <td>0.802298</td>\n",
       "      <td>0.187741</td>\n",
       "      <td>0.234489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>585</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>32.900000</td>\n",
       "      <td>4.626268</td>\n",
       "      <td>1.114050</td>\n",
       "      <td>0.551193</td>\n",
       "      <td>0.212472</td>\n",
       "      <td>...</td>\n",
       "      <td>1.194580</td>\n",
       "      <td>0.746601</td>\n",
       "      <td>0.762529</td>\n",
       "      <td>0.982688</td>\n",
       "      <td>0.232315</td>\n",
       "      <td>1.173848</td>\n",
       "      <td>0.738731</td>\n",
       "      <td>0.663431</td>\n",
       "      <td>0.859895</td>\n",
       "      <td>0.092794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>587</td>\n",
       "      <td>X89_BJQ_4</td>\n",
       "      <td>North</td>\n",
       "      <td>36.125556</td>\n",
       "      <td>6.136446</td>\n",
       "      <td>1.038609</td>\n",
       "      <td>1.227132</td>\n",
       "      <td>0.335878</td>\n",
       "      <td>...</td>\n",
       "      <td>1.515036</td>\n",
       "      <td>1.239715</td>\n",
       "      <td>1.187828</td>\n",
       "      <td>0.417436</td>\n",
       "      <td>0.409292</td>\n",
       "      <td>1.269921</td>\n",
       "      <td>1.143895</td>\n",
       "      <td>1.325950</td>\n",
       "      <td>0.674260</td>\n",
       "      <td>0.391743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>589</td>\n",
       "      <td>X96_BYM_8</td>\n",
       "      <td>North</td>\n",
       "      <td>34.068889</td>\n",
       "      <td>5.258101</td>\n",
       "      <td>0.736470</td>\n",
       "      <td>0.472995</td>\n",
       "      <td>0.185990</td>\n",
       "      <td>...</td>\n",
       "      <td>0.869001</td>\n",
       "      <td>1.544981</td>\n",
       "      <td>0.568362</td>\n",
       "      <td>0.408325</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.887568</td>\n",
       "      <td>0.877863</td>\n",
       "      <td>0.315087</td>\n",
       "      <td>0.337469</td>\n",
       "      <td>0.448602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>591</td>\n",
       "      <td>Agria</td>\n",
       "      <td>North</td>\n",
       "      <td>27.296667</td>\n",
       "      <td>4.975237</td>\n",
       "      <td>0.207787</td>\n",
       "      <td>0.518297</td>\n",
       "      <td>0.242937</td>\n",
       "      <td>...</td>\n",
       "      <td>0.567950</td>\n",
       "      <td>1.185463</td>\n",
       "      <td>0.571425</td>\n",
       "      <td>0.425144</td>\n",
       "      <td>1.172258</td>\n",
       "      <td>0.562475</td>\n",
       "      <td>1.137307</td>\n",
       "      <td>0.513008</td>\n",
       "      <td>0.418033</td>\n",
       "      <td>0.606405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>593</td>\n",
       "      <td>Cara</td>\n",
       "      <td>North</td>\n",
       "      <td>28.976667</td>\n",
       "      <td>5.285074</td>\n",
       "      <td>0.271642</td>\n",
       "      <td>0.626345</td>\n",
       "      <td>0.490731</td>\n",
       "      <td>...</td>\n",
       "      <td>0.881564</td>\n",
       "      <td>1.273689</td>\n",
       "      <td>0.690301</td>\n",
       "      <td>1.172854</td>\n",
       "      <td>1.099354</td>\n",
       "      <td>0.480597</td>\n",
       "      <td>1.012277</td>\n",
       "      <td>0.837520</td>\n",
       "      <td>1.152572</td>\n",
       "      <td>0.463525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>595</td>\n",
       "      <td>Aventra</td>\n",
       "      <td>North</td>\n",
       "      <td>28.408889</td>\n",
       "      <td>6.542610</td>\n",
       "      <td>1.421466</td>\n",
       "      <td>1.257372</td>\n",
       "      <td>0.320440</td>\n",
       "      <td>...</td>\n",
       "      <td>1.043006</td>\n",
       "      <td>1.261736</td>\n",
       "      <td>0.638282</td>\n",
       "      <td>0.469954</td>\n",
       "      <td>0.354926</td>\n",
       "      <td>0.887658</td>\n",
       "      <td>1.101397</td>\n",
       "      <td>0.480853</td>\n",
       "      <td>0.382461</td>\n",
       "      <td>0.248958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>597</td>\n",
       "      <td>Desiree</td>\n",
       "      <td>North</td>\n",
       "      <td>32.215556</td>\n",
       "      <td>5.309294</td>\n",
       "      <td>0.638497</td>\n",
       "      <td>0.967351</td>\n",
       "      <td>0.759831</td>\n",
       "      <td>...</td>\n",
       "      <td>1.312317</td>\n",
       "      <td>1.092645</td>\n",
       "      <td>0.951850</td>\n",
       "      <td>1.154027</td>\n",
       "      <td>0.118322</td>\n",
       "      <td>1.206917</td>\n",
       "      <td>0.752667</td>\n",
       "      <td>0.983498</td>\n",
       "      <td>0.952752</td>\n",
       "      <td>0.332494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>599</td>\n",
       "      <td>X05_GQE_02</td>\n",
       "      <td>North</td>\n",
       "      <td>31.586667</td>\n",
       "      <td>5.768146</td>\n",
       "      <td>0.783577</td>\n",
       "      <td>1.042337</td>\n",
       "      <td>0.452533</td>\n",
       "      <td>...</td>\n",
       "      <td>1.247565</td>\n",
       "      <td>1.201970</td>\n",
       "      <td>1.054833</td>\n",
       "      <td>0.783349</td>\n",
       "      <td>0.744703</td>\n",
       "      <td>0.944208</td>\n",
       "      <td>1.139997</td>\n",
       "      <td>0.870513</td>\n",
       "      <td>0.689128</td>\n",
       "      <td>0.565737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    bin  bed  row          ID position      yield   yieldDM  \\\n",
       "0     3    3  302   X96_BYM_8    South  30.396190  4.620471   \n",
       "1     3    3  304     Aventra    South  31.700952  7.900819   \n",
       "2     3    3  306  X05_GQE_02    South  29.668571  5.622899   \n",
       "3     3    3  308       Agria    South  29.606667  5.245840   \n",
       "4     3    3  310        Cara    South  25.018095  4.230474   \n",
       "5     3    3  312   X89_BJQ_4    South  27.870476  4.239662   \n",
       "6     3    3  314     Desiree    South  37.504762  5.934992   \n",
       "7     3    3  316   X96_BYM_8    South  29.778095  5.230613   \n",
       "8     3    3  318     Desiree    South  42.790476  6.778793   \n",
       "9     3    3  320        Cara    South  27.005714  5.100540   \n",
       "10    3    3  322   X89_BJQ_4    South  35.682857  6.122789   \n",
       "11    3    3  324       Agria    South  22.575238  4.138554   \n",
       "12    3    3  326  X05_GQE_02    South  27.672381  5.246178   \n",
       "13    3    3  328     Aventra    South  28.811429  7.254176   \n",
       "14    2    4  573        Cara    North  26.495556  4.952361   \n",
       "15    2    4  575     Aventra    North  32.778889  8.505618   \n",
       "16    2    4  577       Agria    North  20.561111  4.036044   \n",
       "17    2    4  579   X89_BJQ_4    North  30.161111  5.012326   \n",
       "18    2    4  581  X05_GQE_02    North  27.364444  4.431570   \n",
       "19    2    4  583   X96_BYM_8    North  28.037778  5.087489   \n",
       "20    2    4  585     Desiree    North  32.900000  4.626268   \n",
       "21    2    4  587   X89_BJQ_4    North  36.125556  6.136446   \n",
       "22    2    4  589   X96_BYM_8    North  34.068889  5.258101   \n",
       "23    2    4  591       Agria    North  27.296667  4.975237   \n",
       "24    2    4  593        Cara    North  28.976667  5.285074   \n",
       "25    2    4  595     Aventra    North  28.408889  6.542610   \n",
       "26    2    4  597     Desiree    North  32.215556  5.309294   \n",
       "27    2    4  599  X05_GQE_02    North  31.586667  5.768146   \n",
       "\n",
       "    RL_June_SD_(37, 56]  RL_June_SD_(56, 75]  RL_June_SD_(75, 94]  ...  \\\n",
       "0              0.263105             0.457308             0.274402  ...   \n",
       "1              0.946920             1.142678             0.323073  ...   \n",
       "2              1.621167             0.799662             0.135740  ...   \n",
       "3              0.824641             0.590553             0.333487  ...   \n",
       "4              0.997321             1.192406             0.311265  ...   \n",
       "5              0.820696             0.872357             0.228022  ...   \n",
       "6              0.959610             1.041878             0.259099  ...   \n",
       "7              1.449577             0.575709             0.295029  ...   \n",
       "8              0.913714             0.962656             0.251559  ...   \n",
       "9              0.853634             0.815584             0.206826  ...   \n",
       "10             0.616396             0.915719             0.329843  ...   \n",
       "11             0.598584             0.476049             0.152353  ...   \n",
       "12             0.740990             0.449623             0.331905  ...   \n",
       "13             0.504548             0.709562             0.242760  ...   \n",
       "14             1.475999             0.655066             0.168202  ...   \n",
       "15             0.973458             0.845570             0.380124  ...   \n",
       "16             0.584989             0.402678             0.173009  ...   \n",
       "17             0.903957             1.571725             0.492313  ...   \n",
       "18             0.333349             1.116365             0.600248  ...   \n",
       "19             1.078862             1.147253             0.714905  ...   \n",
       "20             1.114050             0.551193             0.212472  ...   \n",
       "21             1.038609             1.227132             0.335878  ...   \n",
       "22             0.736470             0.472995             0.185990  ...   \n",
       "23             0.207787             0.518297             0.242937  ...   \n",
       "24             0.271642             0.626345             0.490731  ...   \n",
       "25             1.421466             1.257372             0.320440  ...   \n",
       "26             0.638497             0.967351             0.759831  ...   \n",
       "27             0.783577             1.042337             0.452533  ...   \n",
       "\n",
       "    RL_July_SD_(37, 56]  RL_July_SD_(56, 75]  RL_July_SD_(75, 94]  \\\n",
       "0              0.693865             0.754808             0.843774   \n",
       "1              0.938178             1.042651             0.575498   \n",
       "2              1.542940             1.270779             0.716271   \n",
       "3              1.307850             1.478604             1.094453   \n",
       "4              1.727593             2.161364             1.391779   \n",
       "5              1.369414             1.430851             0.874579   \n",
       "6              1.492477             1.244581             0.796322   \n",
       "7              1.428918             1.144363             0.657748   \n",
       "8              1.310801             1.085103             0.657798   \n",
       "9              1.690771             1.341566             0.988391   \n",
       "10             1.278781             1.524084             1.253224   \n",
       "11             1.313649             0.848096             0.642748   \n",
       "12             1.047609             0.766707             0.683778   \n",
       "13             0.626287             0.924370             0.697933   \n",
       "14             1.908200             1.875616             1.124065   \n",
       "15             1.036827             1.097573             0.892767   \n",
       "16             1.109461             1.300799             0.373769   \n",
       "17             1.490845             1.676228             0.736724   \n",
       "18             1.004700             1.361518             1.081822   \n",
       "19             1.155547             1.456413             0.857358   \n",
       "20             1.194580             0.746601             0.762529   \n",
       "21             1.515036             1.239715             1.187828   \n",
       "22             0.869001             1.544981             0.568362   \n",
       "23             0.567950             1.185463             0.571425   \n",
       "24             0.881564             1.273689             0.690301   \n",
       "25             1.043006             1.261736             0.638282   \n",
       "26             1.312317             1.092645             0.951850   \n",
       "27             1.247565             1.201970             1.054833   \n",
       "\n",
       "    RL_July_SD_(94, 112]  RL_July_SD_(112, 131]  RL_Aug_SD_(37, 56]  \\\n",
       "0               0.714093               0.304683            0.938250   \n",
       "1               0.419744               0.377482            0.495719   \n",
       "2               0.553692               0.468333            2.436921   \n",
       "3               0.234864               0.731794            1.706155   \n",
       "4               0.890703               1.111411            2.079387   \n",
       "5               1.143368               0.765294            1.536918   \n",
       "6               0.576165               0.414182            1.302634   \n",
       "7               0.811051               0.252783            1.381483   \n",
       "8               0.448145               0.659831            1.416428   \n",
       "9               0.611010               0.262636            0.953826   \n",
       "10              0.487812               0.119700            1.059193   \n",
       "11              0.483556               0.155217            1.006992   \n",
       "12              0.505200               0.131231            1.811482   \n",
       "13              0.431036               0.201517            0.676741   \n",
       "14              0.800862               0.084853            1.624206   \n",
       "15              0.423482               0.735218            0.798309   \n",
       "16              0.234735               0.345018            0.977332   \n",
       "17              0.547726               0.696232            1.190239   \n",
       "18              0.525925               0.138564            0.758744   \n",
       "19              0.289136               0.200958            0.979406   \n",
       "20              0.982688               0.232315            1.173848   \n",
       "21              0.417436               0.409292            1.269921   \n",
       "22              0.408325               0.000000            0.887568   \n",
       "23              0.425144               1.172258            0.562475   \n",
       "24              1.172854               1.099354            0.480597   \n",
       "25              0.469954               0.354926            0.887658   \n",
       "26              1.154027               0.118322            1.206917   \n",
       "27              0.783349               0.744703            0.944208   \n",
       "\n",
       "    RL_Aug_SD_(56, 75]  RL_Aug_SD_(75, 94]  RL_Aug_SD_(94, 112]  \\\n",
       "0             0.610977            0.749820             0.901372   \n",
       "1             0.738647            0.598826             0.416792   \n",
       "2             0.803446            0.847514             0.365908   \n",
       "3             1.210569            0.997841             0.281171   \n",
       "4             1.697977            1.150433             1.270185   \n",
       "5             1.094858            0.922141             0.980602   \n",
       "6             0.894269            0.817546             0.591919   \n",
       "7             1.150781            0.741406             0.746302   \n",
       "8             0.833186            0.728420             0.470559   \n",
       "9             1.521529            0.909920             0.786490   \n",
       "10            1.299594            0.944250             0.500850   \n",
       "11            0.571955            0.547530             0.629512   \n",
       "12            0.725478            0.694565             0.573918   \n",
       "13            0.513312            0.424295             0.351064   \n",
       "14            1.674526            1.219241             0.819075   \n",
       "15            0.978211            0.729631             0.369490   \n",
       "16            1.135663            0.499744             0.301548   \n",
       "17            1.579815            0.730336             0.521986   \n",
       "18            1.431955            1.078867             0.549469   \n",
       "19            1.371276            0.802298             0.187741   \n",
       "20            0.738731            0.663431             0.859895   \n",
       "21            1.143895            1.325950             0.674260   \n",
       "22            0.877863            0.315087             0.337469   \n",
       "23            1.137307            0.513008             0.418033   \n",
       "24            1.012277            0.837520             1.152572   \n",
       "25            1.101397            0.480853             0.382461   \n",
       "26            0.752667            0.983498             0.952752   \n",
       "27            1.139997            0.870513             0.689128   \n",
       "\n",
       "    RL_Aug_SD_(112, 131]  \n",
       "0               0.535656  \n",
       "1               0.266919  \n",
       "2               0.332468  \n",
       "3               0.308059  \n",
       "4               0.146968  \n",
       "5               0.414378  \n",
       "6               0.625501  \n",
       "7               0.436059  \n",
       "8               0.525321  \n",
       "9               0.387429  \n",
       "10              0.548939  \n",
       "11              0.328746  \n",
       "12              0.142322  \n",
       "13              0.105719  \n",
       "14              0.293145  \n",
       "15              0.461864  \n",
       "16              0.445424  \n",
       "17              0.480682  \n",
       "18              0.649707  \n",
       "19              0.234489  \n",
       "20              0.092794  \n",
       "21              0.391743  \n",
       "22              0.448602  \n",
       "23              0.606405  \n",
       "24              0.463525  \n",
       "25              0.248958  \n",
       "26              0.332494  \n",
       "27              0.565737  \n",
       "\n",
       "[28 rows x 22 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RL_yields_Dry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e12fcc55-5a2b-4998-9bee-1342dbe16ae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "01a4e630-39a6-451d-aaf8-83670315bfa2",
   "metadata": {},
   "outputs": [],
   "source": [
    "RL_table_main_Wet=RL_yields_Wet.drop(['row','bin','bed','ID','position'], axis=1)\n",
    "RL_table_main_Dry=RL_yields_Dry.drop(['row','bin','bed','ID','position'], axis=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6d79bb45-7a9d-4966-ada6-77eb1d09130b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
       "      <th>RL_June_SD_(37, 56]</th>\n",
       "      <th>RL_June_SD_(56, 75]</th>\n",
       "      <th>RL_June_SD_(75, 94]</th>\n",
       "      <th>RL_June_SD_(94, 112]</th>\n",
       "      <th>RL_June_SD_(112, 131]</th>\n",
       "      <th>RL_July_SD_(37, 56]</th>\n",
       "      <th>RL_July_SD_(56, 75]</th>\n",
       "      <th>RL_July_SD_(75, 94]</th>\n",
       "      <th>RL_July_SD_(94, 112]</th>\n",
       "      <th>RL_July_SD_(112, 131]</th>\n",
       "      <th>RL_Aug_SD_(37, 56]</th>\n",
       "      <th>RL_Aug_SD_(56, 75]</th>\n",
       "      <th>RL_Aug_SD_(75, 94]</th>\n",
       "      <th>RL_Aug_SD_(94, 112]</th>\n",
       "      <th>RL_Aug_SD_(112, 131]</th>\n",
       "      <th>TRL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41.256667</td>\n",
       "      <td>5.626157</td>\n",
       "      <td>0.263105</td>\n",
       "      <td>0.457308</td>\n",
       "      <td>0.274402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.693865</td>\n",
       "      <td>0.754808</td>\n",
       "      <td>0.843774</td>\n",
       "      <td>0.714093</td>\n",
       "      <td>0.304683</td>\n",
       "      <td>0.938250</td>\n",
       "      <td>0.610977</td>\n",
       "      <td>0.749820</td>\n",
       "      <td>0.901372</td>\n",
       "      <td>0.535656</td>\n",
       "      <td>8.042113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44.891667</td>\n",
       "      <td>10.824987</td>\n",
       "      <td>0.946920</td>\n",
       "      <td>1.142678</td>\n",
       "      <td>0.323073</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.938178</td>\n",
       "      <td>1.042651</td>\n",
       "      <td>0.575498</td>\n",
       "      <td>0.419744</td>\n",
       "      <td>0.377482</td>\n",
       "      <td>0.495719</td>\n",
       "      <td>0.738647</td>\n",
       "      <td>0.598826</td>\n",
       "      <td>0.416792</td>\n",
       "      <td>0.266919</td>\n",
       "      <td>8.283126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37.378333</td>\n",
       "      <td>6.613151</td>\n",
       "      <td>1.621167</td>\n",
       "      <td>0.799662</td>\n",
       "      <td>0.135740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.542940</td>\n",
       "      <td>1.270779</td>\n",
       "      <td>0.716271</td>\n",
       "      <td>0.553692</td>\n",
       "      <td>0.468333</td>\n",
       "      <td>2.436921</td>\n",
       "      <td>0.803446</td>\n",
       "      <td>0.847514</td>\n",
       "      <td>0.365908</td>\n",
       "      <td>0.332468</td>\n",
       "      <td>11.894840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36.760833</td>\n",
       "      <td>6.336819</td>\n",
       "      <td>0.824641</td>\n",
       "      <td>0.590553</td>\n",
       "      <td>0.333487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.307850</td>\n",
       "      <td>1.478604</td>\n",
       "      <td>1.094453</td>\n",
       "      <td>0.234864</td>\n",
       "      <td>0.731794</td>\n",
       "      <td>1.706155</td>\n",
       "      <td>1.210569</td>\n",
       "      <td>0.997841</td>\n",
       "      <td>0.281171</td>\n",
       "      <td>0.308059</td>\n",
       "      <td>11.100040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36.778333</td>\n",
       "      <td>6.327502</td>\n",
       "      <td>0.997321</td>\n",
       "      <td>1.192406</td>\n",
       "      <td>0.311265</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.727593</td>\n",
       "      <td>2.161364</td>\n",
       "      <td>1.391779</td>\n",
       "      <td>0.890703</td>\n",
       "      <td>1.111411</td>\n",
       "      <td>2.079387</td>\n",
       "      <td>1.697977</td>\n",
       "      <td>1.150433</td>\n",
       "      <td>1.270185</td>\n",
       "      <td>0.146968</td>\n",
       "      <td>16.128791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>47.059167</td>\n",
       "      <td>8.353661</td>\n",
       "      <td>0.820696</td>\n",
       "      <td>0.872357</td>\n",
       "      <td>0.228022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.369414</td>\n",
       "      <td>1.430851</td>\n",
       "      <td>0.874579</td>\n",
       "      <td>1.143368</td>\n",
       "      <td>0.765294</td>\n",
       "      <td>1.536918</td>\n",
       "      <td>1.094858</td>\n",
       "      <td>0.922141</td>\n",
       "      <td>0.980602</td>\n",
       "      <td>0.414378</td>\n",
       "      <td>12.453478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>51.663333</td>\n",
       "      <td>8.293126</td>\n",
       "      <td>0.959610</td>\n",
       "      <td>1.041878</td>\n",
       "      <td>0.259099</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.492477</td>\n",
       "      <td>1.244581</td>\n",
       "      <td>0.796322</td>\n",
       "      <td>0.576165</td>\n",
       "      <td>0.414182</td>\n",
       "      <td>1.302634</td>\n",
       "      <td>0.894269</td>\n",
       "      <td>0.817546</td>\n",
       "      <td>0.591919</td>\n",
       "      <td>0.625501</td>\n",
       "      <td>11.016183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>40.591667</td>\n",
       "      <td>5.909895</td>\n",
       "      <td>1.449577</td>\n",
       "      <td>0.575709</td>\n",
       "      <td>0.295029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.428918</td>\n",
       "      <td>1.144363</td>\n",
       "      <td>0.657748</td>\n",
       "      <td>0.811051</td>\n",
       "      <td>0.252783</td>\n",
       "      <td>1.381483</td>\n",
       "      <td>1.150781</td>\n",
       "      <td>0.741406</td>\n",
       "      <td>0.746302</td>\n",
       "      <td>0.436059</td>\n",
       "      <td>11.071209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>52.345833</td>\n",
       "      <td>7.589862</td>\n",
       "      <td>0.913714</td>\n",
       "      <td>0.962656</td>\n",
       "      <td>0.251559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.310801</td>\n",
       "      <td>1.085103</td>\n",
       "      <td>0.657798</td>\n",
       "      <td>0.448145</td>\n",
       "      <td>0.659831</td>\n",
       "      <td>1.416428</td>\n",
       "      <td>0.833186</td>\n",
       "      <td>0.728420</td>\n",
       "      <td>0.470559</td>\n",
       "      <td>0.525321</td>\n",
       "      <td>10.263523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>35.470833</td>\n",
       "      <td>5.947413</td>\n",
       "      <td>0.853634</td>\n",
       "      <td>0.815584</td>\n",
       "      <td>0.206826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.690771</td>\n",
       "      <td>1.341566</td>\n",
       "      <td>0.988391</td>\n",
       "      <td>0.611010</td>\n",
       "      <td>0.262636</td>\n",
       "      <td>0.953826</td>\n",
       "      <td>1.521529</td>\n",
       "      <td>0.909920</td>\n",
       "      <td>0.786490</td>\n",
       "      <td>0.387429</td>\n",
       "      <td>11.329613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>45.230000</td>\n",
       "      <td>8.553751</td>\n",
       "      <td>0.616396</td>\n",
       "      <td>0.915719</td>\n",
       "      <td>0.329843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.278781</td>\n",
       "      <td>1.524084</td>\n",
       "      <td>1.253224</td>\n",
       "      <td>0.487812</td>\n",
       "      <td>0.119700</td>\n",
       "      <td>1.059193</td>\n",
       "      <td>1.299594</td>\n",
       "      <td>0.944250</td>\n",
       "      <td>0.500850</td>\n",
       "      <td>0.548939</td>\n",
       "      <td>10.878385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>33.208333</td>\n",
       "      <td>6.268893</td>\n",
       "      <td>0.598584</td>\n",
       "      <td>0.476049</td>\n",
       "      <td>0.152353</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.313649</td>\n",
       "      <td>0.848096</td>\n",
       "      <td>0.642748</td>\n",
       "      <td>0.483556</td>\n",
       "      <td>0.155217</td>\n",
       "      <td>1.006992</td>\n",
       "      <td>0.571955</td>\n",
       "      <td>0.547530</td>\n",
       "      <td>0.629512</td>\n",
       "      <td>0.328746</td>\n",
       "      <td>7.754988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>33.172500</td>\n",
       "      <td>5.542783</td>\n",
       "      <td>0.740990</td>\n",
       "      <td>0.449623</td>\n",
       "      <td>0.331905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.047609</td>\n",
       "      <td>0.766707</td>\n",
       "      <td>0.683778</td>\n",
       "      <td>0.505200</td>\n",
       "      <td>0.131231</td>\n",
       "      <td>1.811482</td>\n",
       "      <td>0.725478</td>\n",
       "      <td>0.694565</td>\n",
       "      <td>0.573918</td>\n",
       "      <td>0.142322</td>\n",
       "      <td>8.604807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>37.259167</td>\n",
       "      <td>8.130689</td>\n",
       "      <td>0.504548</td>\n",
       "      <td>0.709562</td>\n",
       "      <td>0.242760</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.626287</td>\n",
       "      <td>0.924370</td>\n",
       "      <td>0.697933</td>\n",
       "      <td>0.431036</td>\n",
       "      <td>0.201517</td>\n",
       "      <td>0.676741</td>\n",
       "      <td>0.513312</td>\n",
       "      <td>0.424295</td>\n",
       "      <td>0.351064</td>\n",
       "      <td>0.105719</td>\n",
       "      <td>6.409143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>33.042500</td>\n",
       "      <td>5.818784</td>\n",
       "      <td>1.475999</td>\n",
       "      <td>0.655066</td>\n",
       "      <td>0.168202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.908200</td>\n",
       "      <td>1.875616</td>\n",
       "      <td>1.124065</td>\n",
       "      <td>0.800862</td>\n",
       "      <td>0.084853</td>\n",
       "      <td>1.624206</td>\n",
       "      <td>1.674526</td>\n",
       "      <td>1.219241</td>\n",
       "      <td>0.819075</td>\n",
       "      <td>0.293145</td>\n",
       "      <td>13.723056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>34.771667</td>\n",
       "      <td>8.891087</td>\n",
       "      <td>0.973458</td>\n",
       "      <td>0.845570</td>\n",
       "      <td>0.380124</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.036827</td>\n",
       "      <td>1.097573</td>\n",
       "      <td>0.892767</td>\n",
       "      <td>0.423482</td>\n",
       "      <td>0.735218</td>\n",
       "      <td>0.798309</td>\n",
       "      <td>0.978211</td>\n",
       "      <td>0.729631</td>\n",
       "      <td>0.369490</td>\n",
       "      <td>0.461864</td>\n",
       "      <td>9.722523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23.187500</td>\n",
       "      <td>4.590386</td>\n",
       "      <td>0.584989</td>\n",
       "      <td>0.402678</td>\n",
       "      <td>0.173009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.109461</td>\n",
       "      <td>1.300799</td>\n",
       "      <td>0.373769</td>\n",
       "      <td>0.234735</td>\n",
       "      <td>0.345018</td>\n",
       "      <td>0.977332</td>\n",
       "      <td>1.135663</td>\n",
       "      <td>0.499744</td>\n",
       "      <td>0.301548</td>\n",
       "      <td>0.445424</td>\n",
       "      <td>7.884169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>35.374167</td>\n",
       "      <td>7.434332</td>\n",
       "      <td>0.903957</td>\n",
       "      <td>1.571725</td>\n",
       "      <td>0.492313</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.490845</td>\n",
       "      <td>1.676228</td>\n",
       "      <td>0.736724</td>\n",
       "      <td>0.547726</td>\n",
       "      <td>0.696232</td>\n",
       "      <td>1.190239</td>\n",
       "      <td>1.579815</td>\n",
       "      <td>0.730336</td>\n",
       "      <td>0.521986</td>\n",
       "      <td>0.480682</td>\n",
       "      <td>12.618807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33.250833</td>\n",
       "      <td>6.043598</td>\n",
       "      <td>0.333349</td>\n",
       "      <td>1.116365</td>\n",
       "      <td>0.600248</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.004700</td>\n",
       "      <td>1.361518</td>\n",
       "      <td>1.081822</td>\n",
       "      <td>0.525925</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.758744</td>\n",
       "      <td>1.431955</td>\n",
       "      <td>1.078867</td>\n",
       "      <td>0.549469</td>\n",
       "      <td>0.649707</td>\n",
       "      <td>10.631233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>36.744167</td>\n",
       "      <td>5.991475</td>\n",
       "      <td>1.078862</td>\n",
       "      <td>1.147253</td>\n",
       "      <td>0.714905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.155547</td>\n",
       "      <td>1.456413</td>\n",
       "      <td>0.857358</td>\n",
       "      <td>0.289136</td>\n",
       "      <td>0.200958</td>\n",
       "      <td>0.979406</td>\n",
       "      <td>1.371276</td>\n",
       "      <td>0.802298</td>\n",
       "      <td>0.187741</td>\n",
       "      <td>0.234489</td>\n",
       "      <td>10.475640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>41.651667</td>\n",
       "      <td>6.938823</td>\n",
       "      <td>1.114050</td>\n",
       "      <td>0.551193</td>\n",
       "      <td>0.212472</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.194580</td>\n",
       "      <td>0.746601</td>\n",
       "      <td>0.762529</td>\n",
       "      <td>0.982688</td>\n",
       "      <td>0.232315</td>\n",
       "      <td>1.173848</td>\n",
       "      <td>0.738731</td>\n",
       "      <td>0.663431</td>\n",
       "      <td>0.859895</td>\n",
       "      <td>0.092794</td>\n",
       "      <td>9.325127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>41.895000</td>\n",
       "      <td>8.725352</td>\n",
       "      <td>1.038609</td>\n",
       "      <td>1.227132</td>\n",
       "      <td>0.335878</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.515036</td>\n",
       "      <td>1.239715</td>\n",
       "      <td>1.187828</td>\n",
       "      <td>0.417436</td>\n",
       "      <td>0.409292</td>\n",
       "      <td>1.269921</td>\n",
       "      <td>1.143895</td>\n",
       "      <td>1.325950</td>\n",
       "      <td>0.674260</td>\n",
       "      <td>0.391743</td>\n",
       "      <td>12.176696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>43.029167</td>\n",
       "      <td>7.460980</td>\n",
       "      <td>0.736470</td>\n",
       "      <td>0.472995</td>\n",
       "      <td>0.185990</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.869001</td>\n",
       "      <td>1.544981</td>\n",
       "      <td>0.568362</td>\n",
       "      <td>0.408325</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.887568</td>\n",
       "      <td>0.877863</td>\n",
       "      <td>0.315087</td>\n",
       "      <td>0.337469</td>\n",
       "      <td>0.448602</td>\n",
       "      <td>7.652713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>28.813333</td>\n",
       "      <td>5.774774</td>\n",
       "      <td>0.207787</td>\n",
       "      <td>0.518297</td>\n",
       "      <td>0.242937</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.567950</td>\n",
       "      <td>1.185463</td>\n",
       "      <td>0.571425</td>\n",
       "      <td>0.425144</td>\n",
       "      <td>1.172258</td>\n",
       "      <td>0.562475</td>\n",
       "      <td>1.137307</td>\n",
       "      <td>0.513008</td>\n",
       "      <td>0.418033</td>\n",
       "      <td>0.606405</td>\n",
       "      <td>8.128490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>33.794167</td>\n",
       "      <td>6.054564</td>\n",
       "      <td>0.271642</td>\n",
       "      <td>0.626345</td>\n",
       "      <td>0.490731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.881564</td>\n",
       "      <td>1.273689</td>\n",
       "      <td>0.690301</td>\n",
       "      <td>1.172854</td>\n",
       "      <td>1.099354</td>\n",
       "      <td>0.480597</td>\n",
       "      <td>1.012277</td>\n",
       "      <td>0.837520</td>\n",
       "      <td>1.152572</td>\n",
       "      <td>0.463525</td>\n",
       "      <td>10.452971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>33.930000</td>\n",
       "      <td>8.868968</td>\n",
       "      <td>1.421466</td>\n",
       "      <td>1.257372</td>\n",
       "      <td>0.320440</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.043006</td>\n",
       "      <td>1.261736</td>\n",
       "      <td>0.638282</td>\n",
       "      <td>0.469954</td>\n",
       "      <td>0.354926</td>\n",
       "      <td>0.887658</td>\n",
       "      <td>1.101397</td>\n",
       "      <td>0.480853</td>\n",
       "      <td>0.382461</td>\n",
       "      <td>0.248958</td>\n",
       "      <td>9.868510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>38.105000</td>\n",
       "      <td>7.026435</td>\n",
       "      <td>0.638497</td>\n",
       "      <td>0.967351</td>\n",
       "      <td>0.759831</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.312317</td>\n",
       "      <td>1.092645</td>\n",
       "      <td>0.951850</td>\n",
       "      <td>1.154027</td>\n",
       "      <td>0.118322</td>\n",
       "      <td>1.206917</td>\n",
       "      <td>0.752667</td>\n",
       "      <td>0.983498</td>\n",
       "      <td>0.952752</td>\n",
       "      <td>0.332494</td>\n",
       "      <td>11.223167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>35.515833</td>\n",
       "      <td>7.082659</td>\n",
       "      <td>0.783577</td>\n",
       "      <td>1.042337</td>\n",
       "      <td>0.452533</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.247565</td>\n",
       "      <td>1.201970</td>\n",
       "      <td>1.054833</td>\n",
       "      <td>0.783349</td>\n",
       "      <td>0.744703</td>\n",
       "      <td>0.944208</td>\n",
       "      <td>1.139997</td>\n",
       "      <td>0.870513</td>\n",
       "      <td>0.689128</td>\n",
       "      <td>0.565737</td>\n",
       "      <td>11.520449</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        yield    yieldDM  RL_June_SD_(37, 56]  RL_June_SD_(56, 75]  \\\n",
       "0   41.256667   5.626157             0.263105             0.457308   \n",
       "1   44.891667  10.824987             0.946920             1.142678   \n",
       "2   37.378333   6.613151             1.621167             0.799662   \n",
       "3   36.760833   6.336819             0.824641             0.590553   \n",
       "4   36.778333   6.327502             0.997321             1.192406   \n",
       "5   47.059167   8.353661             0.820696             0.872357   \n",
       "6   51.663333   8.293126             0.959610             1.041878   \n",
       "7   40.591667   5.909895             1.449577             0.575709   \n",
       "8   52.345833   7.589862             0.913714             0.962656   \n",
       "9   35.470833   5.947413             0.853634             0.815584   \n",
       "10  45.230000   8.553751             0.616396             0.915719   \n",
       "11  33.208333   6.268893             0.598584             0.476049   \n",
       "12  33.172500   5.542783             0.740990             0.449623   \n",
       "13  37.259167   8.130689             0.504548             0.709562   \n",
       "14  33.042500   5.818784             1.475999             0.655066   \n",
       "15  34.771667   8.891087             0.973458             0.845570   \n",
       "16  23.187500   4.590386             0.584989             0.402678   \n",
       "17  35.374167   7.434332             0.903957             1.571725   \n",
       "18  33.250833   6.043598             0.333349             1.116365   \n",
       "19  36.744167   5.991475             1.078862             1.147253   \n",
       "20  41.651667   6.938823             1.114050             0.551193   \n",
       "21  41.895000   8.725352             1.038609             1.227132   \n",
       "22  43.029167   7.460980             0.736470             0.472995   \n",
       "23  28.813333   5.774774             0.207787             0.518297   \n",
       "24  33.794167   6.054564             0.271642             0.626345   \n",
       "25  33.930000   8.868968             1.421466             1.257372   \n",
       "26  38.105000   7.026435             0.638497             0.967351   \n",
       "27  35.515833   7.082659             0.783577             1.042337   \n",
       "\n",
       "    RL_June_SD_(75, 94]  RL_June_SD_(94, 112]  RL_June_SD_(112, 131]  \\\n",
       "0              0.274402                   0.0                    0.0   \n",
       "1              0.323073                   0.0                    0.0   \n",
       "2              0.135740                   0.0                    0.0   \n",
       "3              0.333487                   0.0                    0.0   \n",
       "4              0.311265                   0.0                    0.0   \n",
       "5              0.228022                   0.0                    0.0   \n",
       "6              0.259099                   0.0                    0.0   \n",
       "7              0.295029                   0.0                    0.0   \n",
       "8              0.251559                   0.0                    0.0   \n",
       "9              0.206826                   0.0                    0.0   \n",
       "10             0.329843                   0.0                    0.0   \n",
       "11             0.152353                   0.0                    0.0   \n",
       "12             0.331905                   0.0                    0.0   \n",
       "13             0.242760                   0.0                    0.0   \n",
       "14             0.168202                   0.0                    0.0   \n",
       "15             0.380124                   0.0                    0.0   \n",
       "16             0.173009                   0.0                    0.0   \n",
       "17             0.492313                   0.0                    0.0   \n",
       "18             0.600248                   0.0                    0.0   \n",
       "19             0.714905                   0.0                    0.0   \n",
       "20             0.212472                   0.0                    0.0   \n",
       "21             0.335878                   0.0                    0.0   \n",
       "22             0.185990                   0.0                    0.0   \n",
       "23             0.242937                   0.0                    0.0   \n",
       "24             0.490731                   0.0                    0.0   \n",
       "25             0.320440                   0.0                    0.0   \n",
       "26             0.759831                   0.0                    0.0   \n",
       "27             0.452533                   0.0                    0.0   \n",
       "\n",
       "    RL_July_SD_(37, 56]  RL_July_SD_(56, 75]  RL_July_SD_(75, 94]  \\\n",
       "0              0.693865             0.754808             0.843774   \n",
       "1              0.938178             1.042651             0.575498   \n",
       "2              1.542940             1.270779             0.716271   \n",
       "3              1.307850             1.478604             1.094453   \n",
       "4              1.727593             2.161364             1.391779   \n",
       "5              1.369414             1.430851             0.874579   \n",
       "6              1.492477             1.244581             0.796322   \n",
       "7              1.428918             1.144363             0.657748   \n",
       "8              1.310801             1.085103             0.657798   \n",
       "9              1.690771             1.341566             0.988391   \n",
       "10             1.278781             1.524084             1.253224   \n",
       "11             1.313649             0.848096             0.642748   \n",
       "12             1.047609             0.766707             0.683778   \n",
       "13             0.626287             0.924370             0.697933   \n",
       "14             1.908200             1.875616             1.124065   \n",
       "15             1.036827             1.097573             0.892767   \n",
       "16             1.109461             1.300799             0.373769   \n",
       "17             1.490845             1.676228             0.736724   \n",
       "18             1.004700             1.361518             1.081822   \n",
       "19             1.155547             1.456413             0.857358   \n",
       "20             1.194580             0.746601             0.762529   \n",
       "21             1.515036             1.239715             1.187828   \n",
       "22             0.869001             1.544981             0.568362   \n",
       "23             0.567950             1.185463             0.571425   \n",
       "24             0.881564             1.273689             0.690301   \n",
       "25             1.043006             1.261736             0.638282   \n",
       "26             1.312317             1.092645             0.951850   \n",
       "27             1.247565             1.201970             1.054833   \n",
       "\n",
       "    RL_July_SD_(94, 112]  RL_July_SD_(112, 131]  RL_Aug_SD_(37, 56]  \\\n",
       "0               0.714093               0.304683            0.938250   \n",
       "1               0.419744               0.377482            0.495719   \n",
       "2               0.553692               0.468333            2.436921   \n",
       "3               0.234864               0.731794            1.706155   \n",
       "4               0.890703               1.111411            2.079387   \n",
       "5               1.143368               0.765294            1.536918   \n",
       "6               0.576165               0.414182            1.302634   \n",
       "7               0.811051               0.252783            1.381483   \n",
       "8               0.448145               0.659831            1.416428   \n",
       "9               0.611010               0.262636            0.953826   \n",
       "10              0.487812               0.119700            1.059193   \n",
       "11              0.483556               0.155217            1.006992   \n",
       "12              0.505200               0.131231            1.811482   \n",
       "13              0.431036               0.201517            0.676741   \n",
       "14              0.800862               0.084853            1.624206   \n",
       "15              0.423482               0.735218            0.798309   \n",
       "16              0.234735               0.345018            0.977332   \n",
       "17              0.547726               0.696232            1.190239   \n",
       "18              0.525925               0.138564            0.758744   \n",
       "19              0.289136               0.200958            0.979406   \n",
       "20              0.982688               0.232315            1.173848   \n",
       "21              0.417436               0.409292            1.269921   \n",
       "22              0.408325               0.000000            0.887568   \n",
       "23              0.425144               1.172258            0.562475   \n",
       "24              1.172854               1.099354            0.480597   \n",
       "25              0.469954               0.354926            0.887658   \n",
       "26              1.154027               0.118322            1.206917   \n",
       "27              0.783349               0.744703            0.944208   \n",
       "\n",
       "    RL_Aug_SD_(56, 75]  RL_Aug_SD_(75, 94]  RL_Aug_SD_(94, 112]  \\\n",
       "0             0.610977            0.749820             0.901372   \n",
       "1             0.738647            0.598826             0.416792   \n",
       "2             0.803446            0.847514             0.365908   \n",
       "3             1.210569            0.997841             0.281171   \n",
       "4             1.697977            1.150433             1.270185   \n",
       "5             1.094858            0.922141             0.980602   \n",
       "6             0.894269            0.817546             0.591919   \n",
       "7             1.150781            0.741406             0.746302   \n",
       "8             0.833186            0.728420             0.470559   \n",
       "9             1.521529            0.909920             0.786490   \n",
       "10            1.299594            0.944250             0.500850   \n",
       "11            0.571955            0.547530             0.629512   \n",
       "12            0.725478            0.694565             0.573918   \n",
       "13            0.513312            0.424295             0.351064   \n",
       "14            1.674526            1.219241             0.819075   \n",
       "15            0.978211            0.729631             0.369490   \n",
       "16            1.135663            0.499744             0.301548   \n",
       "17            1.579815            0.730336             0.521986   \n",
       "18            1.431955            1.078867             0.549469   \n",
       "19            1.371276            0.802298             0.187741   \n",
       "20            0.738731            0.663431             0.859895   \n",
       "21            1.143895            1.325950             0.674260   \n",
       "22            0.877863            0.315087             0.337469   \n",
       "23            1.137307            0.513008             0.418033   \n",
       "24            1.012277            0.837520             1.152572   \n",
       "25            1.101397            0.480853             0.382461   \n",
       "26            0.752667            0.983498             0.952752   \n",
       "27            1.139997            0.870513             0.689128   \n",
       "\n",
       "    RL_Aug_SD_(112, 131]        TRL  \n",
       "0               0.535656   8.042113  \n",
       "1               0.266919   8.283126  \n",
       "2               0.332468  11.894840  \n",
       "3               0.308059  11.100040  \n",
       "4               0.146968  16.128791  \n",
       "5               0.414378  12.453478  \n",
       "6               0.625501  11.016183  \n",
       "7               0.436059  11.071209  \n",
       "8               0.525321  10.263523  \n",
       "9               0.387429  11.329613  \n",
       "10              0.548939  10.878385  \n",
       "11              0.328746   7.754988  \n",
       "12              0.142322   8.604807  \n",
       "13              0.105719   6.409143  \n",
       "14              0.293145  13.723056  \n",
       "15              0.461864   9.722523  \n",
       "16              0.445424   7.884169  \n",
       "17              0.480682  12.618807  \n",
       "18              0.649707  10.631233  \n",
       "19              0.234489  10.475640  \n",
       "20              0.092794   9.325127  \n",
       "21              0.391743  12.176696  \n",
       "22              0.448602   7.652713  \n",
       "23              0.606405   8.128490  \n",
       "24              0.463525  10.452971  \n",
       "25              0.248958   9.868510  \n",
       "26              0.332494  11.223167  \n",
       "27              0.565737  11.520449  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RL_table_main_Wet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9173476f-8982-4839-a20a-36011c545cc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "RL_table_main_Wet['TRL']=RL_table_main_Wet.iloc[:,2:].sum(axis=1)\n",
    "RL_table_main_Dry['TRL']=RL_table_main_Dry.iloc[:,2:].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "702c434c-7070-435a-8c0d-7d8222242f42",
   "metadata": {},
   "outputs": [],
   "source": [
    "RL_table_main_Wet['TRL_June']=RL_table_main_Wet.filter(regex='June').sum(axis=1)\n",
    "RL_table_main_Wet['TRL_July']=RL_table_main_Wet.filter(regex='July').sum(axis=1)\n",
    "RL_table_main_Wet['TRL_Aug']=RL_table_main_Wet.filter(regex='Aug').sum(axis=1)\n",
    "\n",
    "RL_table_main_Dry['TRL_June']=RL_table_main_Dry.filter(regex='June').sum(axis=1)\n",
    "RL_table_main_Dry['TRL_July']=RL_table_main_Dry.filter(regex='July').sum(axis=1)\n",
    "RL_table_main_Dry['TRL_Aug']=RL_table_main_Dry.filter(regex='Aug').sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "973dfb39-1b6b-4d18-9026-6d7d78cea9be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removing columns containg zeros\n",
    "RL_table_main_Dry=RL_table_main_Dry.replace(0,np.nan).dropna(axis=1,how=\"all\")\n",
    "RL_table_main_Wet=RL_table_main_Wet.replace(0,np.nan).dropna(axis=1,how=\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4dd3c272-cfae-416f-ae7e-6195dbdeba77",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_11167/565823677.py:5: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  mask = np.triu(np.ones_like(RL_table_main_Wet.corr(), dtype=np.bool))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(16, 6))\n",
    "# define the mask to set the values in the upper triangle to True\n",
    "mask = np.triu(np.ones_like(RL_table_main_Wet.corr(), dtype=np.bool))\n",
    "heatmap = sns.heatmap(RL_table_main_Wet.corr(), mask=mask, vmin=-1, vmax=1, annot=True)\n",
    "heatmap.set_title('Correlation Yields (Wet: bed 3, bin 4; bed 4, bin 1) and Square Root lengths in 2018', fontdict={'fontsize':18}, pad=16);\n",
    "plt.savefig('Corr_RL_Wet_yields_2018.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac7c4cdf-d907-4ba8-a794-203796f80e94",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f06f071d-2dde-41f3-8d34-fb2b38e417e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_11167/3128128091.py:5: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  mask = np.triu(np.ones_like(RL_table_main_Dry.corr(), dtype=np.bool))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(16, 6))\n",
    "# define the mask to set the values in the upper triangle to True\n",
    "mask = np.triu(np.ones_like(RL_table_main_Dry.corr(), dtype=np.bool))\n",
    "heatmap = sns.heatmap(RL_table_main_Dry.corr(), mask=mask, vmin=-1, vmax=1, annot=True)\n",
    "heatmap.set_title('Correlation Yields (Dry: bed 3, bin 3; bed 4, bin 2) and Square Root lengths in 2018', fontdict={'fontsize':18}, pad=16);\n",
    "plt.savefig('Corr_RL_Dry_yields_2018.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "2338f65b-c5c2-4a10-be39-6aaaf08686a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yield</th>\n",
       "      <th>yieldDM</th>\n",
       "      <th>RL_June_SD_(49, 59]</th>\n",
       "      <th>RL_June_SD_(59, 70]</th>\n",
       "      <th>RL_June_SD_(70, 80]</th>\n",
       "      <th>RL_June_SD_(80, 90]</th>\n",
       "      <th>RL_July_SD_(49, 59]</th>\n",
       "      <th>RL_July_SD_(59, 70]</th>\n",
       "      <th>RL_July_SD_(70, 80]</th>\n",
       "      <th>RL_July_SD_(80, 90]</th>\n",
       "      <th>RL_Aug_SD_(49, 59]</th>\n",
       "      <th>RL_Aug_SD_(59, 70]</th>\n",
       "      <th>RL_Aug_SD_(70, 80]</th>\n",
       "      <th>RL_Aug_SD_(80, 90]</th>\n",
       "      <th>TRL</th>\n",
       "      <th>TRL_June</th>\n",
       "      <th>TRL_July</th>\n",
       "      <th>TRL_Aug</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30.396190</td>\n",
       "      <td>4.620471</td>\n",
       "      <td>0.391500</td>\n",
       "      <td>0.390000</td>\n",
       "      <td>0.519500</td>\n",
       "      <td>0.208182</td>\n",
       "      <td>1.400051</td>\n",
       "      <td>1.452273</td>\n",
       "      <td>1.315000</td>\n",
       "      <td>2.197500</td>\n",
       "      <td>1.490000</td>\n",
       "      <td>0.921364</td>\n",
       "      <td>0.857727</td>\n",
       "      <td>1.8715</td>\n",
       "      <td>13.014596</td>\n",
       "      <td>1.509182</td>\n",
       "      <td>6.364823</td>\n",
       "      <td>5.140591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31.700952</td>\n",
       "      <td>7.900819</td>\n",
       "      <td>1.664000</td>\n",
       "      <td>3.387500</td>\n",
       "      <td>0.774864</td>\n",
       "      <td>0.246273</td>\n",
       "      <td>1.378636</td>\n",
       "      <td>2.387273</td>\n",
       "      <td>1.040909</td>\n",
       "      <td>1.412000</td>\n",
       "      <td>0.574091</td>\n",
       "      <td>1.378182</td>\n",
       "      <td>0.692727</td>\n",
       "      <td>1.5310</td>\n",
       "      <td>16.467455</td>\n",
       "      <td>6.072636</td>\n",
       "      <td>6.218818</td>\n",
       "      <td>4.176000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29.668571</td>\n",
       "      <td>5.622899</td>\n",
       "      <td>3.140682</td>\n",
       "      <td>1.704242</td>\n",
       "      <td>0.143136</td>\n",
       "      <td>0.069864</td>\n",
       "      <td>6.402727</td>\n",
       "      <td>2.910000</td>\n",
       "      <td>0.396364</td>\n",
       "      <td>0.400222</td>\n",
       "      <td>5.755909</td>\n",
       "      <td>1.463182</td>\n",
       "      <td>0.658182</td>\n",
       "      <td>1.1660</td>\n",
       "      <td>24.210510</td>\n",
       "      <td>5.057924</td>\n",
       "      <td>10.109313</td>\n",
       "      <td>9.043273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>29.606667</td>\n",
       "      <td>5.245840</td>\n",
       "      <td>1.632000</td>\n",
       "      <td>0.589583</td>\n",
       "      <td>0.287000</td>\n",
       "      <td>0.271955</td>\n",
       "      <td>3.937727</td>\n",
       "      <td>3.100909</td>\n",
       "      <td>2.587273</td>\n",
       "      <td>2.223500</td>\n",
       "      <td>2.718182</td>\n",
       "      <td>3.846818</td>\n",
       "      <td>1.471818</td>\n",
       "      <td>2.4920</td>\n",
       "      <td>25.158765</td>\n",
       "      <td>2.780538</td>\n",
       "      <td>11.849409</td>\n",
       "      <td>10.528818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25.018095</td>\n",
       "      <td>4.230474</td>\n",
       "      <td>3.473000</td>\n",
       "      <td>3.750417</td>\n",
       "      <td>0.321500</td>\n",
       "      <td>0.209091</td>\n",
       "      <td>7.530182</td>\n",
       "      <td>7.471364</td>\n",
       "      <td>3.192727</td>\n",
       "      <td>2.969222</td>\n",
       "      <td>6.954545</td>\n",
       "      <td>4.302727</td>\n",
       "      <td>2.440455</td>\n",
       "      <td>2.4785</td>\n",
       "      <td>45.093730</td>\n",
       "      <td>7.754008</td>\n",
       "      <td>21.163495</td>\n",
       "      <td>16.176227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27.870476</td>\n",
       "      <td>4.239662</td>\n",
       "      <td>2.304500</td>\n",
       "      <td>1.295833</td>\n",
       "      <td>0.516000</td>\n",
       "      <td>0.126818</td>\n",
       "      <td>4.208636</td>\n",
       "      <td>3.020000</td>\n",
       "      <td>1.820909</td>\n",
       "      <td>2.757000</td>\n",
       "      <td>3.796364</td>\n",
       "      <td>1.740000</td>\n",
       "      <td>2.445000</td>\n",
       "      <td>1.5460</td>\n",
       "      <td>25.577061</td>\n",
       "      <td>4.243152</td>\n",
       "      <td>11.806545</td>\n",
       "      <td>9.527364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>37.504762</td>\n",
       "      <td>5.934992</td>\n",
       "      <td>2.027000</td>\n",
       "      <td>2.985000</td>\n",
       "      <td>0.326591</td>\n",
       "      <td>0.223636</td>\n",
       "      <td>2.873636</td>\n",
       "      <td>2.966768</td>\n",
       "      <td>2.265455</td>\n",
       "      <td>1.582000</td>\n",
       "      <td>2.635909</td>\n",
       "      <td>2.024091</td>\n",
       "      <td>1.021364</td>\n",
       "      <td>1.6995</td>\n",
       "      <td>22.630949</td>\n",
       "      <td>5.562227</td>\n",
       "      <td>9.687859</td>\n",
       "      <td>7.380864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>29.778095</td>\n",
       "      <td>5.230613</td>\n",
       "      <td>3.663909</td>\n",
       "      <td>0.245947</td>\n",
       "      <td>0.118636</td>\n",
       "      <td>0.310500</td>\n",
       "      <td>2.770909</td>\n",
       "      <td>2.251818</td>\n",
       "      <td>1.933182</td>\n",
       "      <td>2.004500</td>\n",
       "      <td>2.667727</td>\n",
       "      <td>1.920909</td>\n",
       "      <td>2.484545</td>\n",
       "      <td>1.6000</td>\n",
       "      <td>21.972583</td>\n",
       "      <td>4.338992</td>\n",
       "      <td>8.960409</td>\n",
       "      <td>8.673182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>42.790476</td>\n",
       "      <td>6.778793</td>\n",
       "      <td>2.004500</td>\n",
       "      <td>1.937917</td>\n",
       "      <td>0.430045</td>\n",
       "      <td>0.151500</td>\n",
       "      <td>1.540000</td>\n",
       "      <td>2.991818</td>\n",
       "      <td>1.574091</td>\n",
       "      <td>0.877500</td>\n",
       "      <td>2.218182</td>\n",
       "      <td>2.107273</td>\n",
       "      <td>1.268636</td>\n",
       "      <td>0.7275</td>\n",
       "      <td>17.828962</td>\n",
       "      <td>4.523962</td>\n",
       "      <td>6.983409</td>\n",
       "      <td>6.321591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>27.005714</td>\n",
       "      <td>5.100540</td>\n",
       "      <td>2.888000</td>\n",
       "      <td>1.113333</td>\n",
       "      <td>0.283636</td>\n",
       "      <td>0.187000</td>\n",
       "      <td>4.290455</td>\n",
       "      <td>3.323182</td>\n",
       "      <td>2.180000</td>\n",
       "      <td>1.709000</td>\n",
       "      <td>3.530000</td>\n",
       "      <td>3.001818</td>\n",
       "      <td>2.262273</td>\n",
       "      <td>1.8320</td>\n",
       "      <td>26.600697</td>\n",
       "      <td>4.471970</td>\n",
       "      <td>11.502636</td>\n",
       "      <td>10.626091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>35.682857</td>\n",
       "      <td>6.122789</td>\n",
       "      <td>0.968500</td>\n",
       "      <td>2.630833</td>\n",
       "      <td>0.721818</td>\n",
       "      <td>0.328000</td>\n",
       "      <td>2.549091</td>\n",
       "      <td>4.235000</td>\n",
       "      <td>3.433636</td>\n",
       "      <td>3.878955</td>\n",
       "      <td>4.010000</td>\n",
       "      <td>2.055909</td>\n",
       "      <td>2.998636</td>\n",
       "      <td>1.8040</td>\n",
       "      <td>29.614379</td>\n",
       "      <td>4.649152</td>\n",
       "      <td>14.096682</td>\n",
       "      <td>10.868545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>22.575238</td>\n",
       "      <td>4.138554</td>\n",
       "      <td>0.603000</td>\n",
       "      <td>0.518333</td>\n",
       "      <td>0.205682</td>\n",
       "      <td>0.057000</td>\n",
       "      <td>2.773182</td>\n",
       "      <td>1.140455</td>\n",
       "      <td>0.654091</td>\n",
       "      <td>1.251000</td>\n",
       "      <td>1.499545</td>\n",
       "      <td>0.667727</td>\n",
       "      <td>1.150909</td>\n",
       "      <td>0.3195</td>\n",
       "      <td>10.840424</td>\n",
       "      <td>1.384015</td>\n",
       "      <td>5.818727</td>\n",
       "      <td>3.637682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>27.672381</td>\n",
       "      <td>5.246178</td>\n",
       "      <td>1.069500</td>\n",
       "      <td>0.494167</td>\n",
       "      <td>0.141000</td>\n",
       "      <td>0.391364</td>\n",
       "      <td>3.307727</td>\n",
       "      <td>0.875909</td>\n",
       "      <td>1.255909</td>\n",
       "      <td>1.595455</td>\n",
       "      <td>3.450909</td>\n",
       "      <td>0.624091</td>\n",
       "      <td>1.515909</td>\n",
       "      <td>1.5775</td>\n",
       "      <td>16.299439</td>\n",
       "      <td>2.096030</td>\n",
       "      <td>7.035000</td>\n",
       "      <td>7.168409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>28.811429</td>\n",
       "      <td>7.254176</td>\n",
       "      <td>0.720000</td>\n",
       "      <td>1.116667</td>\n",
       "      <td>0.195000</td>\n",
       "      <td>0.216818</td>\n",
       "      <td>1.233636</td>\n",
       "      <td>2.270909</td>\n",
       "      <td>1.506364</td>\n",
       "      <td>0.729500</td>\n",
       "      <td>1.174091</td>\n",
       "      <td>1.095455</td>\n",
       "      <td>0.661818</td>\n",
       "      <td>0.1970</td>\n",
       "      <td>11.117258</td>\n",
       "      <td>2.248485</td>\n",
       "      <td>5.740409</td>\n",
       "      <td>3.128364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>26.495556</td>\n",
       "      <td>4.952361</td>\n",
       "      <td>2.272000</td>\n",
       "      <td>0.627500</td>\n",
       "      <td>0.311000</td>\n",
       "      <td>0.125455</td>\n",
       "      <td>4.739091</td>\n",
       "      <td>4.767273</td>\n",
       "      <td>4.602727</td>\n",
       "      <td>2.935000</td>\n",
       "      <td>5.728182</td>\n",
       "      <td>3.349091</td>\n",
       "      <td>2.985455</td>\n",
       "      <td>3.1920</td>\n",
       "      <td>35.634773</td>\n",
       "      <td>3.335955</td>\n",
       "      <td>17.044091</td>\n",
       "      <td>15.254727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>32.778889</td>\n",
       "      <td>8.505618</td>\n",
       "      <td>2.081000</td>\n",
       "      <td>1.457917</td>\n",
       "      <td>0.794000</td>\n",
       "      <td>0.399091</td>\n",
       "      <td>1.644636</td>\n",
       "      <td>1.723182</td>\n",
       "      <td>3.127273</td>\n",
       "      <td>1.133500</td>\n",
       "      <td>1.372727</td>\n",
       "      <td>1.033636</td>\n",
       "      <td>2.543636</td>\n",
       "      <td>0.6705</td>\n",
       "      <td>17.981098</td>\n",
       "      <td>4.732008</td>\n",
       "      <td>7.628591</td>\n",
       "      <td>5.620500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20.561111</td>\n",
       "      <td>4.036044</td>\n",
       "      <td>0.525455</td>\n",
       "      <td>0.620909</td>\n",
       "      <td>0.058182</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>1.892727</td>\n",
       "      <td>1.820909</td>\n",
       "      <td>1.684545</td>\n",
       "      <td>0.267000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>1.925455</td>\n",
       "      <td>1.249091</td>\n",
       "      <td>0.4450</td>\n",
       "      <td>12.469273</td>\n",
       "      <td>1.454545</td>\n",
       "      <td>5.665182</td>\n",
       "      <td>5.349545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>30.161111</td>\n",
       "      <td>5.012326</td>\n",
       "      <td>2.284000</td>\n",
       "      <td>5.477083</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.373273</td>\n",
       "      <td>4.042727</td>\n",
       "      <td>6.207727</td>\n",
       "      <td>1.919091</td>\n",
       "      <td>1.151318</td>\n",
       "      <td>3.612273</td>\n",
       "      <td>5.275000</td>\n",
       "      <td>1.995455</td>\n",
       "      <td>0.9540</td>\n",
       "      <td>34.276947</td>\n",
       "      <td>9.119356</td>\n",
       "      <td>13.320864</td>\n",
       "      <td>11.836727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>27.364444</td>\n",
       "      <td>4.431570</td>\n",
       "      <td>0.490000</td>\n",
       "      <td>1.912500</td>\n",
       "      <td>1.132000</td>\n",
       "      <td>0.640909</td>\n",
       "      <td>1.851818</td>\n",
       "      <td>2.031818</td>\n",
       "      <td>3.499091</td>\n",
       "      <td>1.883636</td>\n",
       "      <td>2.329091</td>\n",
       "      <td>2.028182</td>\n",
       "      <td>2.791818</td>\n",
       "      <td>2.0410</td>\n",
       "      <td>22.631864</td>\n",
       "      <td>4.175409</td>\n",
       "      <td>9.266364</td>\n",
       "      <td>9.190091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>28.037778</td>\n",
       "      <td>5.087489</td>\n",
       "      <td>1.862000</td>\n",
       "      <td>1.618750</td>\n",
       "      <td>4.395682</td>\n",
       "      <td>0.299318</td>\n",
       "      <td>2.776136</td>\n",
       "      <td>2.387727</td>\n",
       "      <td>4.917727</td>\n",
       "      <td>0.816364</td>\n",
       "      <td>1.932273</td>\n",
       "      <td>2.215909</td>\n",
       "      <td>4.000455</td>\n",
       "      <td>0.7400</td>\n",
       "      <td>27.962341</td>\n",
       "      <td>8.175750</td>\n",
       "      <td>10.897955</td>\n",
       "      <td>8.888636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>32.900000</td>\n",
       "      <td>4.626268</td>\n",
       "      <td>1.592000</td>\n",
       "      <td>0.594167</td>\n",
       "      <td>0.306364</td>\n",
       "      <td>0.044000</td>\n",
       "      <td>2.514545</td>\n",
       "      <td>1.694545</td>\n",
       "      <td>0.815455</td>\n",
       "      <td>1.927000</td>\n",
       "      <td>2.010909</td>\n",
       "      <td>1.619091</td>\n",
       "      <td>1.508182</td>\n",
       "      <td>0.7630</td>\n",
       "      <td>15.389258</td>\n",
       "      <td>2.536530</td>\n",
       "      <td>6.951545</td>\n",
       "      <td>5.901182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>36.125556</td>\n",
       "      <td>6.136446</td>\n",
       "      <td>2.458682</td>\n",
       "      <td>2.895682</td>\n",
       "      <td>0.659000</td>\n",
       "      <td>0.468182</td>\n",
       "      <td>2.753182</td>\n",
       "      <td>2.760000</td>\n",
       "      <td>1.037273</td>\n",
       "      <td>1.440500</td>\n",
       "      <td>2.401818</td>\n",
       "      <td>2.625000</td>\n",
       "      <td>1.432727</td>\n",
       "      <td>2.0755</td>\n",
       "      <td>23.007545</td>\n",
       "      <td>6.481545</td>\n",
       "      <td>7.990955</td>\n",
       "      <td>8.535045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>34.068889</td>\n",
       "      <td>5.258101</td>\n",
       "      <td>1.175000</td>\n",
       "      <td>0.703333</td>\n",
       "      <td>0.359091</td>\n",
       "      <td>0.003000</td>\n",
       "      <td>2.923636</td>\n",
       "      <td>4.585455</td>\n",
       "      <td>0.805455</td>\n",
       "      <td>1.309000</td>\n",
       "      <td>2.542727</td>\n",
       "      <td>1.000909</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>0.5410</td>\n",
       "      <td>16.478606</td>\n",
       "      <td>2.240424</td>\n",
       "      <td>9.623545</td>\n",
       "      <td>4.614636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>27.296667</td>\n",
       "      <td>4.975237</td>\n",
       "      <td>0.326500</td>\n",
       "      <td>0.530833</td>\n",
       "      <td>0.140727</td>\n",
       "      <td>0.389636</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>2.294545</td>\n",
       "      <td>1.838227</td>\n",
       "      <td>0.669500</td>\n",
       "      <td>0.740909</td>\n",
       "      <td>2.749545</td>\n",
       "      <td>0.965455</td>\n",
       "      <td>0.7235</td>\n",
       "      <td>12.069379</td>\n",
       "      <td>1.387697</td>\n",
       "      <td>5.502273</td>\n",
       "      <td>5.179409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>28.976667</td>\n",
       "      <td>5.285074</td>\n",
       "      <td>0.212000</td>\n",
       "      <td>1.052500</td>\n",
       "      <td>0.384545</td>\n",
       "      <td>0.852000</td>\n",
       "      <td>2.230000</td>\n",
       "      <td>3.219091</td>\n",
       "      <td>0.853636</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>2.724444</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>0.618182</td>\n",
       "      <td>1.0520</td>\n",
       "      <td>15.268399</td>\n",
       "      <td>2.501045</td>\n",
       "      <td>7.152727</td>\n",
       "      <td>5.614626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>28.408889</td>\n",
       "      <td>6.542610</td>\n",
       "      <td>2.391000</td>\n",
       "      <td>2.340417</td>\n",
       "      <td>2.477227</td>\n",
       "      <td>0.147909</td>\n",
       "      <td>2.977727</td>\n",
       "      <td>2.586864</td>\n",
       "      <td>1.633182</td>\n",
       "      <td>0.613000</td>\n",
       "      <td>1.870208</td>\n",
       "      <td>1.904545</td>\n",
       "      <td>0.925455</td>\n",
       "      <td>0.4695</td>\n",
       "      <td>20.337034</td>\n",
       "      <td>7.356553</td>\n",
       "      <td>7.810773</td>\n",
       "      <td>5.169708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>32.215556</td>\n",
       "      <td>5.309294</td>\n",
       "      <td>0.810000</td>\n",
       "      <td>1.960833</td>\n",
       "      <td>2.529091</td>\n",
       "      <td>0.491000</td>\n",
       "      <td>2.860909</td>\n",
       "      <td>1.810909</td>\n",
       "      <td>2.234545</td>\n",
       "      <td>2.242000</td>\n",
       "      <td>2.692727</td>\n",
       "      <td>1.312727</td>\n",
       "      <td>2.028182</td>\n",
       "      <td>1.7710</td>\n",
       "      <td>22.743924</td>\n",
       "      <td>5.790924</td>\n",
       "      <td>9.148364</td>\n",
       "      <td>7.804636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>31.586667</td>\n",
       "      <td>5.768146</td>\n",
       "      <td>0.795500</td>\n",
       "      <td>2.232083</td>\n",
       "      <td>1.708636</td>\n",
       "      <td>0.487500</td>\n",
       "      <td>0.785318</td>\n",
       "      <td>2.736773</td>\n",
       "      <td>2.089545</td>\n",
       "      <td>3.906409</td>\n",
       "      <td>0.600455</td>\n",
       "      <td>2.689091</td>\n",
       "      <td>1.991364</td>\n",
       "      <td>3.4885</td>\n",
       "      <td>23.511174</td>\n",
       "      <td>5.223720</td>\n",
       "      <td>9.518045</td>\n",
       "      <td>8.769409</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        yield   yieldDM  RL_June_SD_(49, 59]  RL_June_SD_(59, 70]  \\\n",
       "0   30.396190  4.620471             0.391500             0.390000   \n",
       "1   31.700952  7.900819             1.664000             3.387500   \n",
       "2   29.668571  5.622899             3.140682             1.704242   \n",
       "3   29.606667  5.245840             1.632000             0.589583   \n",
       "4   25.018095  4.230474             3.473000             3.750417   \n",
       "5   27.870476  4.239662             2.304500             1.295833   \n",
       "6   37.504762  5.934992             2.027000             2.985000   \n",
       "7   29.778095  5.230613             3.663909             0.245947   \n",
       "8   42.790476  6.778793             2.004500             1.937917   \n",
       "9   27.005714  5.100540             2.888000             1.113333   \n",
       "10  35.682857  6.122789             0.968500             2.630833   \n",
       "11  22.575238  4.138554             0.603000             0.518333   \n",
       "12  27.672381  5.246178             1.069500             0.494167   \n",
       "13  28.811429  7.254176             0.720000             1.116667   \n",
       "14  26.495556  4.952361             2.272000             0.627500   \n",
       "15  32.778889  8.505618             2.081000             1.457917   \n",
       "16  20.561111  4.036044             0.525455             0.620909   \n",
       "17  30.161111  5.012326             2.284000             5.477083   \n",
       "18  27.364444  4.431570             0.490000             1.912500   \n",
       "19  28.037778  5.087489             1.862000             1.618750   \n",
       "20  32.900000  4.626268             1.592000             0.594167   \n",
       "21  36.125556  6.136446             2.458682             2.895682   \n",
       "22  34.068889  5.258101             1.175000             0.703333   \n",
       "23  27.296667  4.975237             0.326500             0.530833   \n",
       "24  28.976667  5.285074             0.212000             1.052500   \n",
       "25  28.408889  6.542610             2.391000             2.340417   \n",
       "26  32.215556  5.309294             0.810000             1.960833   \n",
       "27  31.586667  5.768146             0.795500             2.232083   \n",
       "\n",
       "    RL_June_SD_(70, 80]  RL_June_SD_(80, 90]  RL_July_SD_(49, 59]  \\\n",
       "0              0.519500             0.208182             1.400051   \n",
       "1              0.774864             0.246273             1.378636   \n",
       "2              0.143136             0.069864             6.402727   \n",
       "3              0.287000             0.271955             3.937727   \n",
       "4              0.321500             0.209091             7.530182   \n",
       "5              0.516000             0.126818             4.208636   \n",
       "6              0.326591             0.223636             2.873636   \n",
       "7              0.118636             0.310500             2.770909   \n",
       "8              0.430045             0.151500             1.540000   \n",
       "9              0.283636             0.187000             4.290455   \n",
       "10             0.721818             0.328000             2.549091   \n",
       "11             0.205682             0.057000             2.773182   \n",
       "12             0.141000             0.391364             3.307727   \n",
       "13             0.195000             0.216818             1.233636   \n",
       "14             0.311000             0.125455             4.739091   \n",
       "15             0.794000             0.399091             1.644636   \n",
       "16             0.058182             0.250000             1.892727   \n",
       "17             0.985000             0.373273             4.042727   \n",
       "18             1.132000             0.640909             1.851818   \n",
       "19             4.395682             0.299318             2.776136   \n",
       "20             0.306364             0.044000             2.514545   \n",
       "21             0.659000             0.468182             2.753182   \n",
       "22             0.359091             0.003000             2.923636   \n",
       "23             0.140727             0.389636             0.700000   \n",
       "24             0.384545             0.852000             2.230000   \n",
       "25             2.477227             0.147909             2.977727   \n",
       "26             2.529091             0.491000             2.860909   \n",
       "27             1.708636             0.487500             0.785318   \n",
       "\n",
       "    RL_July_SD_(59, 70]  RL_July_SD_(70, 80]  RL_July_SD_(80, 90]  \\\n",
       "0              1.452273             1.315000             2.197500   \n",
       "1              2.387273             1.040909             1.412000   \n",
       "2              2.910000             0.396364             0.400222   \n",
       "3              3.100909             2.587273             2.223500   \n",
       "4              7.471364             3.192727             2.969222   \n",
       "5              3.020000             1.820909             2.757000   \n",
       "6              2.966768             2.265455             1.582000   \n",
       "7              2.251818             1.933182             2.004500   \n",
       "8              2.991818             1.574091             0.877500   \n",
       "9              3.323182             2.180000             1.709000   \n",
       "10             4.235000             3.433636             3.878955   \n",
       "11             1.140455             0.654091             1.251000   \n",
       "12             0.875909             1.255909             1.595455   \n",
       "13             2.270909             1.506364             0.729500   \n",
       "14             4.767273             4.602727             2.935000   \n",
       "15             1.723182             3.127273             1.133500   \n",
       "16             1.820909             1.684545             0.267000   \n",
       "17             6.207727             1.919091             1.151318   \n",
       "18             2.031818             3.499091             1.883636   \n",
       "19             2.387727             4.917727             0.816364   \n",
       "20             1.694545             0.815455             1.927000   \n",
       "21             2.760000             1.037273             1.440500   \n",
       "22             4.585455             0.805455             1.309000   \n",
       "23             2.294545             1.838227             0.669500   \n",
       "24             3.219091             0.853636             0.850000   \n",
       "25             2.586864             1.633182             0.613000   \n",
       "26             1.810909             2.234545             2.242000   \n",
       "27             2.736773             2.089545             3.906409   \n",
       "\n",
       "    RL_Aug_SD_(49, 59]  RL_Aug_SD_(59, 70]  RL_Aug_SD_(70, 80]  \\\n",
       "0             1.490000            0.921364            0.857727   \n",
       "1             0.574091            1.378182            0.692727   \n",
       "2             5.755909            1.463182            0.658182   \n",
       "3             2.718182            3.846818            1.471818   \n",
       "4             6.954545            4.302727            2.440455   \n",
       "5             3.796364            1.740000            2.445000   \n",
       "6             2.635909            2.024091            1.021364   \n",
       "7             2.667727            1.920909            2.484545   \n",
       "8             2.218182            2.107273            1.268636   \n",
       "9             3.530000            3.001818            2.262273   \n",
       "10            4.010000            2.055909            2.998636   \n",
       "11            1.499545            0.667727            1.150909   \n",
       "12            3.450909            0.624091            1.515909   \n",
       "13            1.174091            1.095455            0.661818   \n",
       "14            5.728182            3.349091            2.985455   \n",
       "15            1.372727            1.033636            2.543636   \n",
       "16            1.730000            1.925455            1.249091   \n",
       "17            3.612273            5.275000            1.995455   \n",
       "18            2.329091            2.028182            2.791818   \n",
       "19            1.932273            2.215909            4.000455   \n",
       "20            2.010909            1.619091            1.508182   \n",
       "21            2.401818            2.625000            1.432727   \n",
       "22            2.542727            1.000909            0.530000   \n",
       "23            0.740909            2.749545            0.965455   \n",
       "24            2.724444            1.220000            0.618182   \n",
       "25            1.870208            1.904545            0.925455   \n",
       "26            2.692727            1.312727            2.028182   \n",
       "27            0.600455            2.689091            1.991364   \n",
       "\n",
       "    RL_Aug_SD_(80, 90]        TRL  TRL_June   TRL_July    TRL_Aug  \n",
       "0               1.8715  13.014596  1.509182   6.364823   5.140591  \n",
       "1               1.5310  16.467455  6.072636   6.218818   4.176000  \n",
       "2               1.1660  24.210510  5.057924  10.109313   9.043273  \n",
       "3               2.4920  25.158765  2.780538  11.849409  10.528818  \n",
       "4               2.4785  45.093730  7.754008  21.163495  16.176227  \n",
       "5               1.5460  25.577061  4.243152  11.806545   9.527364  \n",
       "6               1.6995  22.630949  5.562227   9.687859   7.380864  \n",
       "7               1.6000  21.972583  4.338992   8.960409   8.673182  \n",
       "8               0.7275  17.828962  4.523962   6.983409   6.321591  \n",
       "9               1.8320  26.600697  4.471970  11.502636  10.626091  \n",
       "10              1.8040  29.614379  4.649152  14.096682  10.868545  \n",
       "11              0.3195  10.840424  1.384015   5.818727   3.637682  \n",
       "12              1.5775  16.299439  2.096030   7.035000   7.168409  \n",
       "13              0.1970  11.117258  2.248485   5.740409   3.128364  \n",
       "14              3.1920  35.634773  3.335955  17.044091  15.254727  \n",
       "15              0.6705  17.981098  4.732008   7.628591   5.620500  \n",
       "16              0.4450  12.469273  1.454545   5.665182   5.349545  \n",
       "17              0.9540  34.276947  9.119356  13.320864  11.836727  \n",
       "18              2.0410  22.631864  4.175409   9.266364   9.190091  \n",
       "19              0.7400  27.962341  8.175750  10.897955   8.888636  \n",
       "20              0.7630  15.389258  2.536530   6.951545   5.901182  \n",
       "21              2.0755  23.007545  6.481545   7.990955   8.535045  \n",
       "22              0.5410  16.478606  2.240424   9.623545   4.614636  \n",
       "23              0.7235  12.069379  1.387697   5.502273   5.179409  \n",
       "24              1.0520  15.268399  2.501045   7.152727   5.614626  \n",
       "25              0.4695  20.337034  7.356553   7.810773   5.169708  \n",
       "26              1.7710  22.743924  5.790924   9.148364   7.804636  \n",
       "27              3.4885  23.511174  5.223720   9.518045   8.769409  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RL_table_main_Dry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03cce3d6-17e2-4b30-ab3c-0e0ce2265bc0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3681a5e1-dd36-475a-b224-a3a85853c46d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c28e252-35e7-4e7a-8ee0-01d7815087fb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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