Gas Flow single snapshot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pynbody\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import pynbody.plot as pp\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import pynbody.plot.sph as sph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/engelhar/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:6692: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  sort=sort)\n"
     ]
    }
   ],
   "source": [
    "from Star import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "halo24 = h3.load_copy(24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SimArray([   0.        ,    0.        ,    0.        , ..., 7953.16480093,\n",
       "          7953.16480093, 7953.16480093], 'Msol')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "halo24['massform']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "index = np.where(halo24['massform']> 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pynbody.transformation.GenericTranslation at 0x7f61642c5358>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "halo24.physical_units()\n",
    "pynbody.analysis.halo.center(halo24, vel=False, ind = index, mode = \"ind\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27695.54905141044"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h3[24].properties['Xc']/h3[24].properties['h'] #SimArray([-1422.5103716 , 10617.46780052, 14778.87539234], 'kpc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#pynbody.plot.stars.render(halo24, width='15 kpc')\n",
    "pynbody.plot.image(halo24.star, width=110, cmap='Blues')\n",
    "#plt.savefig('Halo 9a', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2466"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(halo24.star)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          -4.397158673804052\n",
       "1        -0.23618421507014134\n",
       "2         -0.3708769544421701\n",
       "3        0.008184508461647286\n",
       "4         0.04740631698048278\n",
       "5      -0.0048749832985108795\n",
       "6        0.008628827100899576\n",
       "7         0.06713428565223158\n",
       "8      0.00027759792524991133\n",
       "9        0.014123886319766056\n",
       "10      0.0005051771539934604\n",
       "11       0.002803164974075379\n",
       "12        0.06342699387897344\n",
       "13        0.02008521113867577\n",
       "14      -0.001158484528984154\n",
       "15      -0.000523999278803698\n",
       "16                        0.0\n",
       "17       0.001449890806092665\n",
       "18                        0.0\n",
       "19                        0.0\n",
       "20                        0.0\n",
       "21                        0.0\n",
       "22                        0.0\n",
       "23                        0.0\n",
       "24                        0.0\n",
       "25       0.008868099101756349\n",
       "26                        0.0\n",
       "27                        0.0\n",
       "28                        0.0\n",
       "29                        0.0\n",
       "               ...           \n",
       "29                        0.0\n",
       "30                        0.0\n",
       "31                        0.0\n",
       "32                        0.0\n",
       "33                        0.0\n",
       "34                        0.0\n",
       "35                        0.0\n",
       "36                        0.0\n",
       "37                        0.0\n",
       "0         0.04211823003558447\n",
       "1       -0.038515705115286424\n",
       "2        0.018042211285488313\n",
       "3       -0.002717809907346337\n",
       "4       -0.007713919942966028\n",
       "5      -0.0015727960314311225\n",
       "6        0.001142395703457598\n",
       "7       0.0012172295126895252\n",
       "8      -0.0013164483274001463\n",
       "9      -0.0004577386019100827\n",
       "10     -9.059162571888355e-05\n",
       "11    -2.6253630240629447e-06\n",
       "12    -0.00010825864380039146\n",
       "13      0.0038059035847700685\n",
       "14                        0.0\n",
       "15                        0.0\n",
       "16                        0.0\n",
       "17                        0.0\n",
       "18                        0.0\n",
       "19                        0.0\n",
       "20                        0.0\n",
       "Name: G_flow_2.5, Length: 198, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['G_flow_2.5']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs sSFR')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LGtNK6OwMkkihjo5geUyjqIUiIlKnmAoPVyymOpUNl6mEoi4vEalF0jf0mOpUNlymEopKr4hILZK+ocdUp7LhMpVQRERqUcsNPcpB/K6uYLymowPMgj8bNX4TpUytQxERqUXuxl3ptN3CQfzcrKz8a9USQ7MlkEKZmuWl8vUi0ghpmZUVNc3yyqMxFBFphKQH8dMqUwlFRKQRkh7ETyslFBGRKmVlVlbUlFBERKqUlVlZUdOgvIiIABqUH0SD8iIiyclUQhERkeQooYiISCSUUEREJBJKKCIiEonU1/Iys9HALcAuYLm7N9keZiIiw0MiLRQzW2RmW8zsiYLzZ5nZ02a2zsyuCU+fB9zt7pcB5zY8WBERqUhSXV6LgbPyT5hZK3Az8B7gWGCumR0LtAObwpcNNDBGERGpQiIJxd1XAH8qOH0KsM7d17v7LmApMAfoJ0gqoDEfEZHUStMN+gj2tUQgSCRHAN8H/tLMvgn8qNSbzazbzFab2eqtW7fGG6mIiOwnTYPyVuScu/tLwMXl3uzuC8zs98Dstra2qZFHJyIiQ0pTC6UfGJt33A5sruYCKr0iIpKcNCWUVcBEMxtvZm3AB4B7qrmAmc02swXPP/98LAGKiEhpSU0bvgt4EJhkZv1mdqm77wauAn4KrAGWufuTScQnIiLVy1T5+pxp06b56tWrkw5DRKSpqHy9iIikQqYSisZQRESSk6mEolleIiLJyVRCUQtFRCQ5mUooaqGIRKOnBzo7oaUl+LNHNb6lAmlaKS8iKdDTA93dsGNHcLxhQ3AM0NWVXFySfplqoajLS6R+8+btSyY5O3YE50WGkqmEoi4vkfpt3FjdeZGcTCUUEanfuHHVnRfJUUIRkUHmz4dRowafGzUqOF+OBvOHt0wlFI2hiNSvqwsWLICODjAL/lywoPyAfG4wf8MGcN83mF9pUlEyan6q5SWSET09wcD5xo1B99T8+Y2dldXZGSSRQh0d0Nc39HsLZ5ZB0CqqJJFJdFTLSyQlkvwNu97WQRTqGczXzLJsUEIRiUDSN/Q03JDrGczXzLJsUEIRiUDSN/Q03JDrGczXzLJsyFRC0aC8JCWOG3o1XWhpuCHXOpgP9SUjSRF3z9xj6tSpLtJIHR3uQWfX4EdHR23XW7LEfdSowdcaNSo4H8Xr02jJkuD7Mgv+bKbYswJY7XXcezXLSyQCPT1wySWwa9e+c21tsGhRbbOUapkxlfQsL2l+muUlkhKFv5uV+11tqC6tWrrQurqCZLNnT/Cnkok0mhKKSATmzYNXXx187tVXSw/Kl5sVloYxEZFqlU0oZnaJmU1sRDAizaraFkW5WWEapJZmVEkLpRO4zcx+a2bLzOyjZjYl5rj2MrMjzWyhmd3dqM8UqVa1LYpyCaieGVMiSSmbUNz9s+7+TuB4oBf4P8DDlVzczBaZ2RYze6Lg/Flm9rSZrTOza8p8/np3v7SSzxNJSrUtikoSkMZEpNlU0uX1j2b2E+C/gAnA1UB7hddfDJxVcL1W4GbgPcCxwFwzO9bMJpvZjwseb6zi7yKSmGpbFOrSkiyqZAvg84DdwH8CvwD+2913VnJxd19hZp0Fp08B1rn7egAzWwrMcfcbgHMqjFskdbq6Km9F5F6nab6SJZV0eZ0EzAIeAs4AHjez3jo+8whgU95xf3iuKDMbY2a3Aiea2bVDvK7bzFab2eqtW7fWEZ5IY6hLS7KmbAvFzI4HpgNvB6YRJIOVdXymFTlXcsa+u28DLi93UXdfYGa/B2a3tbVNrSM+ERGpQSWzvL4EvBa4CTjG3d/h7p+t4zP7gbF5x+3A5jqut5drT3nJsN4re+gf0ckea6F/RCeL3tWjDakkVSrp8novcCPwAjDJzA6o8zNXARPNbLyZtQEfAO6p85qAikNK9Apv4r1XJnPX7r2yhxO/2U37wAZacNoHNvD+n3Vz6oaexPY/ESlUtpaXmb0d+A7QR9BdNRb4sLuvKHtxs7uAmcChwB+Bz7n7QjM7G/hXoBVY5O6Rzm1RLS+JQu4mPpp9KxBfYhSPXLGA029p7IBH/4hO2gf2L+7VRwfj6dt7XMnuiCKl1FvLq5KE8jDwQXd/Ojw+CrjL3VM3TmFms4HZEyZMuOyZZ55JOhxpcqVu4v2tHbTv7mtoLHushZYiQ417MFrZs/fYLBjkF6lFI4pDHpBLJgDuvhaot9srFhpDSZ+0dBnV4vCB4svZS52P0+bW4ishNzL4vGp9SZIqSSirw9InM8PH7VS4Ur7RNIaSLsX6/U/8ZnfTJJVSN/HNreMavn98X/d8XmLwSsiXGMU/sK+3eNQo+OyE5k3gkgHlNkwBDgQ+CXwf+AHwCeDAejZhifuhDbbSYVNrR9Fdpza1diQdWkVWXrHEtzN416rtjPKFs5YkspnVyiuW+KbWDh/AfFNrhy+ctWTQhlQLZxWPd+UV0QVWGEOU15bkUecGW4nf/KN8ALOBBRMmTKj3e5UIDGBFE8oAlnRoFSt2A416d8aoxJ3ASyVYJZXsqDehlByUN7PHGXrB4QlRtpSipFle6ZCmQe0otbQU3zyr0gHxuHZWHGrgvsXrH6nP6n9P2afeQfmhVsr/FfByrRcW6euez+uLTLvt655fcXXRNBo3rvj2vJUMiOc21srthZJbPwL1J5XNreOK3vA3t46L5PtO0yQFSaehBuXvdPcNwD+5+4bCR6MCrIYG5dPl9Fu6eOSKBfS3drAHo7+1I5E1HFGrp1JwuY216lFq4L6vO5plXkNNUhABSo+hAE8AHwZ+S1BxeNCjnn62uB8alJe4LVnigwbEKx2Qt+LDSm4RDSvFOWiuMZTsI8YxlNOBLuCv2b80irv7JbFkuAhoDEXSqrOzeHdZs6xw772yh84F8zh8YCObW8fR1z2/6Vucsk8jVspf6u4La/2AJCihSFoVjqFA0F2m7X0lDWJfKd9MyURjKJJ22itesqxsC6UZqYUiIlK9RtTyEklcM9cEExkuyiYUMzvNzEaHP19gZl81s474QxMJNHtNMJHhopIWyjeBHWb2F8DfAxsI9kcRaYjOBfMGLY4EGM0OOhdUvnhDLRyR+FWSUHaH85PnAF9z968Br4k3rNpoUD6b6l2hrRZO5ZR4pR6VJJQXzexa4ALgP82sFe2HIg1U7wrtKFo4w4ESr9SrkoTyfuAV4FJ3/wNwBPDPsUYlkqdYSREHDhrYXtHNTjWoKqPEK/WqZB3KH9z9q+6+Mjze6O4aQ5GGydUE22Zj9tbSNWAM2yr6DVo1qCqjxCv1qmSW11vNbJWZbTezXWY2YGYapJDYFNsN8fRbuni55WCs4LWV/AYdd9HErFDilXpV0uX1DWAu8AxwEPAR4OY4g5LmVe/WuLnSJBs2BNUHc+Xde3pq/w06q1WPo6bEK3UrVz2SsPok8FjeuQfqqUhZ7QN4H3A78EPgzHKvV7XhZCxZ4nVtjbtkiXtra/FqvB0dzb+lsHv6t9BNe3wSL+LeAhhYAbQRrD35MsGe8r+u+ANgEbAFeKLg/FnA08A64JoKr/V6YGG51ymhJKOerXGLJaPC8u6NKJ9ea1n6Sqj8u6RdIxJKBzASeC3wOeCrwISKPwBmACflJxSglWCflSPDZPVr4FhgMvDjgscb8973FeCkcp+phJKMevb6KJWMCpNSFL9Bl0oa9bawyslCC0uyrd6EUsksrw3uvtPdX3D3L7j7J919XRVdaiuAPxWcPgVY5+7r3X0XsBSY4+6Pu/s5BY8tFvgS8BN3/1Wlny2NVWoL3Eq2xt04xDBIpbshVqJwjObUDT2cdkGwkO/0CzqZs2PwoE9UuymCZlFJ9pVMKGY2x8z+Nu/4l2a2PnycX+fnHgFsyjvuD8+V8lHgXcD5ZnZ5iXi7zWy1ma3eunVrneFJLerZGrdU0jGDgw6CCy+E7oPrX3iXvwXvXHq4nW46Ca7XwQZup5u5DL7eUMmuGlHNotJqdkmtUk0X4H5gbN7xo8AYYBzws2qaQUAng7u8/gq4I+/4QuDr9TS1wuvMBhZMmDChnlaf1KHWMYhi3U0HHODe1rbv+Hd01N1llN8tV+p6v6Oj6jGgSkQxhqJxGIkTcY2hAKsKjr+R9/N/V/Uh+yeUtwE/zTu+Fri2nr9I/kNjKM2pMBmNGTP4Xj9A8UGaAUoP0gx1zaGuF8cYinv9Y0Aah5E41ZtQhtpTfp27Tyjx3G/d/c2VtoLMrBP4sbsfHx6PANYCs4D/AVYBH3T3Jyu9ZonPmQ3MnjBhwmXPPPNMPZeSFGhpCe6WOb+jk07235C9v7WD9t19QDBGMm9e0E31hjfAiy/Crl2DXz9iBOzeXfp6G+hgvPUxblzQXZem3RT3WAst7P//7B6MFt+TQESSJXFusPVLM7usyAf+DfBQpR9gZncBDwKTzKw/3KN+N3AV8FNgDbCs3mQCKg6ZJvUucIT9x1X+gaEX3hUOuG/btn8ygSCZjBlT+nqbrpjPnj3Q15euZAJazS4pV6rpArwReAC4j2C67leA5QTJ4bB6mkVxPdAYSipENf222HUubF3iG1uKdxmVm3oc1zTkRtIYisSJuLq8cszsncBx4eGT7v7zGPJapLSnfLI6O4NWQqGOjuC3/mrkd2GV64Iq7CIbihnsadIeot4re+hcMI/DBzayuXUcfd3zVUZGIlFvl1fZhNJMNIaSDsVu7HPp4XrmMY74boKlElkx5ZJbNYlMJCviHENpOq4xlFTIH/uYSw9bOJQeLti73iOujZuKrYNpbd3/deXWxgxVoFJESstUQtEWwOmQu7HnFg7+GdtqKjtfifxFfm//cCdff1sPHR1Bl1ZHB3z727BkCYPOLVgwdGsjf/FjTpQr5kWyKlNdXjkaQ0leTw+cfkEnHUWm5ebUO9U1t2Vt/i6DLzGq7tL0pcZimnncRaQS6vKSVOrqgrEMXbOk3qmucW1ZW09NMpHhLFMJRV1ejVHpGpOhEkYUGzfFVWyxnppkIsNZphKKBuXjV82AdbEdAB3YxphIdkyMa5FfV1cwzlLNuIuIZCyhSPwKq/X+jk5e3BGUfi+ctVVs6937r1jCGH82kinDcW5Z29UVTCvOrZiH+lf+i2RePasi0/pQccj45Kr1ziWeFdvVVituxEr3uDfeEkkL4l4p30y0sDF+ucWDlRRqrFauOy1/yu6oUcl3N0W58l8kzTTLK49rDCV2uQHrcSVmcFU6IF5sk6i0rv8otcFWVBtviWRFphKKxC83YL2J4gPfe2gpuwI+t36kcOfFUzcUf1/SN25NIxapjBKKVK2rCzZdsf+AOMAIBsqWVSm1fuQGijdFkr5xaxqxSGWUUKQmuRlcu9m/WFa5xYWlusXGsjGVN25NIxapTKYG5XNUeqVxatlBsH9EJ+0DxQf0f/HtPlX5FUmIBuXzaKV849WyuHCo9SOF6z9yySSKHSBFJF6ZSiia5dV4tSwuLLbgcaiV8yonL9Ic1OXVhNK2+VPcOwhqHYhIY6jLa5iJ67f1YutCKnX6LV207+6jxffQvrsv8p0YtQ5EpDkooTSZOBb/lVoXUiqpxDmeUSyxaR2ISJOop25LIx7AMcCtwN3AFZW8J8u1vHK1tAofZrVfc1NrR9GLbmrt2O+1pepaLZxVf02tlVcUrw+2cNYS1dISaQDqrOUVdzJYBGwBnig4fxbwNLAOuKbCa7UACyt5bZYTSkdH8YTS0VH7NQconqUG2D9LFfv8qApFDpXYqi0aKSLVqzehxDoob2YzgO3Ad9z9+PBcK7AWOAPoB1YBc4FW4IaCS1zi7lvM7FzgGuAb7n5nuc/N8qB8HAUUh1oXUljosdj2uFEViqxlTYuIRCfVg/LuvgL4U8HpU4B17r7e3XcBS4E57v64u59T8NgSXucedz8VGPZL3OJYtV3N1N9i4xb1ForMiWvDLBFpjCQG5Y8ANuUd94fnijKzmWZ2k5ndBtw7xOu6zWy1ma3eunVrdNGmUKnFf7WqZl1IsbpWG0sUiqw2EcS5YZaIxC+JhGJFzpXsd3P35e7+MXf/G3e/eYjXLQC+APyqra0tgjCzpdzMrEqn/hZrIf18VjSJoNoFjyKSMvUMwFTyADrJG5QH3gb8NO/4WuDaKD8zi4Py9exM2IgdBxvFwa5jAAAKY0lEQVSxc6KIxIs0z/Ly4gllBLAeGA+0Ab8Gjovos2YDCyZMmBDV95sKpabTFt60S82EimNmmIhkT70JJe5ZXncBM4FDgT8Cn3P3hWZ2NvCvBDO7Frl7pJ3kWZvlVcksrKFmf1144f4zsyDostqjyVMiEqp3llemanlldU/5SqbTDlXvClQLS0TKS/W04UbzjFYbrmQ67VD1ruLccbDUYH89tcFEpDllKqFkdT+UUtNp/2vmvowwVL2ruHYcLFWoctG7qqsNJiIZUc8ATFofWZzltXDWEv8dwSyq39Hhc1kyaKZWI2ZyFSo12N9H8SeK1QYTkfQgzYPyjZbVMRSobE+QRu+TUqwMC8AAKqEi0ow0KF9E1mZ5Qembd5IztUoluT466YigtpeINJYG5YeJNO4JUmqw/2cRrZwXkeaSqYSS1UF5iHemVq1KDfZf8v9UQkVkOFKXVxNJ217yIpIt6vIaRqKuMpyjNSMiEoURSQcgycrtJz+aoGZL+8AGXv/NbnpBXVQiUpVMtVCyPIYSl84F8/Ymk5zR7KBzwbyEIhKRZpWphOIZLb0Sp1K7Kla726KISKYSilRP2+6KSFSUUIY5bbsrIlFRQhnmtO2uiERF61BERATQOpRBNMtLRCQ5mUoomuU1vJXa7EtEGkMLGyUTcpt97QiX1OQ2+wKVpxFplEy1UGT4mjdvXzLJ2bEjOC8ijaGEIpmwscQ6zFLnRSR6TZFQzGy0mT1sZuckHYukUxr3ixEZbmJNKGa2yMy2mNkTBefPMrOnzWydmV1TwaU+DSyLJ0rJgjTuFyMy3MQ9KL8Y+AbwndwJM2sFbgbOAPqBVWZ2D9AK3FDw/kuAE4CngJExxypNLDfwrv1iRJITa0Jx9xVm1llw+hRgnbuvBzCzpcAcd78B2K9Ly8zeAYwGjgVeNrN73T2hXdQlzbq6lEBEkpTEtOEjgE15x/3AW0q92N3nAZjZRcCzpZKJmXUD3QDj1HEuItJwSSQUK3KubP0Xd19c5vkFZvZ7YHZbW9vUGmMTEZEaJTHLqx8Ym3fcDmyO4sJaKS8ikpwkEsoqYKKZjTezNuADwD1RXFi1vEREkhP3tOG7gAeBSWbWb2aXuvtu4Crgp8AaYJm7PxnF56mFIiKSnLhnec0tcf5e4N6oP8/MZgOzJ0yYEPWlRUSkjKZYKV8ptVBERJKTqYSiMRQRkeRkKqGohSIikpxMJRS1UEREkpOphKIWiohIcjKVUEREJDmZSijq8hIRSU6mEoq6vEREkpOphCIiIslRQhERkUhkKqFoDEVEJDmZSigaQxERSU6mEoqIiCRHCUVERCKhhCIiIpFQQhERkUhkKqFolpeISHIylVA0y0tEJDmZSigiIpIcJRQREYmEEoqIiERCCUVERCKR+oRiZjPNbKWZ3WpmM5OOR0REios1oZjZIjPbYmZPFJw/y8yeNrN1ZnZNmcs4sB0YCfTHFauIiNRnRMzXXwx8A/hO7oSZtQI3A2cQJIhVZnYP0ArcUPD+S4CV7v4LMzsM+CrQFXPMIiJSg1gTiruvMLPOgtOnAOvcfT2AmS0F5rj7DcA5Q1zuf4EDSz1pZt1Ad3j4SmGrqAKHAKVWRBZ7rvBc/nG5n3N/Hgo8G1GMwy3OwnMHVBljuThLPVdrnLV+l1mOc6gYmzHOZvt/qFick6qIcX/uHusD6ASeyDs+H7gj7/hC4BtDvP884Dbg34CZFX7m6hriXFDNc4Xn8o/L/Zz3Z1VxDhXjcIuz8Fwj/pvXE2et32WW4xwqxmaMs9n+H4rq+8x/xN3lVYwVOeelXuzu3we+H184e/2oyucKz/2oip+H+qyhlHvfcIqz8NxJlYVWNo5yz9UaZ63fZbn3NnOcQ8VYeNwMcTbb/0P5P9fzfe5lYVaKTdjl9WN3Pz48fhvweXd/d3h8LYAHXV5RfeZqd58W1fXiojij0wwxguKMmuKMVr1xJjFteBUw0czGm1kb8AHgnog/Y0HE14uL4oxOM8QIijNqijNadcUZawvFzO4CZhIMSP0R+Jy7LzSzs4F/JZjZtcjd58cWhIiINETsXV4iIjI8pH6lvIiINAclFBERicSwSyhm1mJm883s62b24aTjKaVZapiZ2Wgze9jMhlqUmigzOyb8Hu82syuSjqcUM3ufmd1uZj80szOTjqcUMzvSzBaa2d1Jx1Io/Pf47fB7TG1VjTR/hzm1/HtsqoQSUW2wOcARwKvEVBusGWqYRRQjwKeBZVHHlxdP3XG6+xp3vxz4ayCWqZsRxfkf7n4ZcBHw/hTHud7dL40jvmKqjPk84O7wezy3UTFWG2ejv8MaY6z+32M9qyIb/QBmECxgy1953wr8FjgSaAN+DRwLTAZ+XPB4I3AN8Dfhe+9OcZwt4fsOA3pSGuO7CKZ9XwSck9bvMnzPucADwAfTHGf4vq8AJzVBnLH8/1NnzNcCU8LX3NmI+GqJs9HfYZ0xVvzvMYmV8jXzCGqDmVk/sCs8HEhrnHmGrGGWZIxm9g5gNMH/yC+b2b3uvidtcYbXuQe4x8z+E7gzyhijitPMDPgi8BN3/1XUMUYVZ6NVEzNBa74deJQG98BUGedTjYwtp5oYzWwNVf57bKourxKOADblHfeH50r5PvBuM/s6sCLOwApUFaeZnWdmtwHfJajY3AhVxeju89z97whu0LdHnUyGUO13OdPMbgq/z3vjDi5Ptf82P0rQ6jvfzC6PM7AC1X6fY8zsVuBECytdJKBUzN8H/tLMvklE5UTqVDTOlHyHOaW+y6r/PTZVC6WEamuD7QAa3ndJemuY5asqxr0vcF8cfShDqva7XA4sjyuYIVQb503ATfGFU1K1cW4DGpnwiikas7u/BFzc6GCGUCrONHyHOaVirPrfYxZaKP3A2LzjdmBzQrEMpRnibIYYQXFGrVnizNcsMTdDnJHFmIWE0ojaYFFohjibIUZQnFFrljjzNUvMzRBndDE2coZBBDMU7gJ+z74pv5eG588G1hLMVJinOLMRo+IcvnE2Y8zNEGfcMaqWl4iIRCILXV4iIpICSigiIhIJJRQREYmEEoqIiERCCUVERCKhhCIiIpFQQhGJkJnNM7MnzewxM3vUzN5iZsvD0uCPho/zw9cOhMdPmNmPzOx1SccvUo8s1PISSQUzextBdd6T3P0VMzuUoBw4QJe7ry54y8vuPiV877eBvwXmNyxgkYgpoYhE503As+7+CoC7PwsQVKUv60HghPhCE4mfurxEovNfwFgzW2tmt5jZ2/Oe68nr8hqT/yYzawVmkb4aTyJVUUIRiYi7bwemAt3AVuDfzOyi8Okud58SPraF5w4ys0eBbcAbgP/b6JhFoqSEIhIhdx9w9+Xu/jngKuAvh3h5bgylg2Cs5W8bEaNIXJRQRCJiZpPMbGLeqSnAhnLvc/fngY8BV5vZAXHFJxI3JRSR6BwMfNvMnjKzx4Bjgc9X8kZ3fwT4NcFeFCJNSeXrRUQkEmqhiIhIJJRQREQkEkooIiISCSUUERGJhBKKiIhEQglFREQioYQiIiKRUEIREZFI/H/sSXp31jAT3QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['SFR'], abs(data['G_flow_2.5']), c='b', label='Inflow')\n",
    "plt.scatter(data['SFR'], data['G_flow_2.5'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1e2)\n",
    "plt.xlim(1e-6, 1e2)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('SFR')\n",
    "plt.title('Gas flow vs sSFR')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs sSFR')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['SFR'], abs(data['G_flow_1.5']), c='b', label='Inflow')\n",
    "plt.scatter(data['SFR'], data['G_flow_1.5'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1e2)\n",
    "plt.xlim(1e-6, 1e2)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('SFR')\n",
    "plt.title('Gas flow vs sSFR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000.0, 50000000000.0)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['M_star'], data['sSFR']*data['G_flow_2.5'], c='b', label='SF')\n",
    "plt.loglog()\n",
    "plt.ylim(1e-20, 1-8)\n",
    "plt.xlim(1e4, 5e10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs sSFR')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['SFR'], abs(data['G_flow_2.5']*data['HIgasfrac']), c='b', label='Inflow')\n",
    "plt.scatter(data['SFR'], data['G_flow_2.5']*data['HIgasfrac'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1e2)\n",
    "plt.xlim(1e-6, 1e2)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('SFR')\n",
    "plt.title('Gas flow vs sSFR')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs sSFR')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yuyy7uqIvDB0dYBb9Oxy/QGRTl5dIlZq1+2M4UZdlRF1eInWmAdr0U4sjDNXyEqnShAm5WyjD6QqvZqDFG6unFopIlWo1QKuZ2dLolFBEqpRUd0lmAjn6aFiwQDOzpbFpUF6kAeUaJM5FA/8SkgblRZpQrtIeuWjgv3k0Q5emEopIAyo1USQ18N8MJ7c0aZZik0ooIg2olESRa+C/0gWuMjXLyS1NmqXYpBKKSAPKdeXYqFFRSZd8A/+hVj1slpNbmjTLXCYlFJEGlOvKsZUrYfduGBiIBuKzryILtephs5zc0qRZqlUroYg0qK6uKHHkSyDZQq162CwntzRplmKTSijSMDQQXJ1Qqx42y8ktTZql9IsSipQtiRO/BoKrF2rVw2Y5uaVNuS3SRqSJjVKWpKqyqmJvGGld4EoaQ7UTG5VQpCxJnfhbWqKWSTaz6BubiCRPM+Wlpsq9AqjUeRGhBoJDd8eFmNchMmy4e9PdzjjjDJdkdHS4R22JobeOjkMfu27RKt/LmCEP3MsYX7do1SGPXbXKfczQh/qYMdH+UpV6jHWLVvnO1g7vx3xna0fOeMqNvxGsWhX9P5hF/5bz2Ym4uwMbvIpzb91P/knclFCSU86Jf2drR87ss7O1I++xqzkhlpLsykkS5cZfTyESski1CUVjKFK27u5o1vSOHVGX1LJluQfkB6yFFg79/RrAaPHwAyOljMP0jeikvf/QQaC+1g7aD/YOjbPG8VdDFzVICE0/hmJmk8zsHjN7qN6xSKTUyxtDzYsoVSnjMOVM/ksq/iQuuw4xu13jRVKtRBOKma00sxfN7Nms/ReY2fNmts3Mrit0DHd/wd2vSjJOCSfzZHlDW5h5EaUqZUJeOUki1LyOTEnNt6n2ooZQdcBkmKumv6zYDZgNnA48m7GvFfg5MAkYBfw7cDIwFfhu1u1dGc97qNTX1RhKfeTqx7+iZZXvaCk+AB4yhkLjMOUOtOcbwK90vKecixrKUe0YSprGiyQ5NPqgPNCZlVDeB3w/Y/t64PoSjlMwoQALgQ3AhgkTJoT6fKUMuU6W81nlvdQuoZSi1Ku88qnm5G2WO6GYVfhmsuKq9KKGfnIH1k+AwCQ10phQLgXuzti+EvhageePBe6IWzVFE4+7Wij1kn2ynE+6LrstVTWtjKRaKNVSC0Xcq08o9RiUtxz78l5q5u573P1qdz/e3W9KMK6GloYB0+z++hsJU0690VQzAN6ohReTGC+S4aceCaUPGJ+x3Q7sqkMcqZGWAdPsk+UEwpRTbzTVDIA3auHFmcu72LhoBX2tHQxg9LV2sHHRCtUBk7IkPg/FzDqB77r7qfH2CGArMBf4JbAeuNzdN4d6zWabh1LO3Il6y5yj8gvvpIN0xF2OpApkitRbQ89DMbMHgCeAKWbWZ2ZXuftBYAnwfWALsDpkMmlGoRZOqoXMOSo7FzVnN0qoVobWf5Fmo5nyKZCmFko2lVPPTa0caUQN3UKRMNI8YDpzeRftB3tp8QHaD/YO+2Qy2Cq54oqhyQSi7aUNfr2CWlVSyIh6ByDFzVzeRQ/om37K5WqVZCunVEqtZcc/OMsf1KqSiLq8RGokXwHHTI1czFEFKJufurykIaRhnkw1Qry/Yq2PRpiPUkiIApTS3JRQpGppmCdTTUII9f4KzVNplPkohYRaVVOaWDXT7Bv1ptIrtdXoZTuqXXkx1PtL+yJYaY9fiiOFpVekyTT6PJnOFflLwJTScgn1/hp1lnyp0h6/JE+D8lK1Rp8nk3/lRdjPmCHJ5jXGHFJypNHfn0goGpSXuqvFPJm3WxLGQRvBgFnJYyH5FtUaoLWk4pVpngckUlPF+sSAjwOTq+lXq/VNYyi1V+0aI8WOnT0GUs5YSL4xlP5cdeTzrAGS5PsTaRRUOYZStMvLzG4AZgIdwFPAOmCdu29KNtVVTl1ezSVfl9Nb95fQ9ZSrBEzniqXqyhLJUG2XV9GZ8u7+P+MXGg18EvjvwN8TLeUrkrhxBZJJdH/xwfGZy7sgHhdpj289wG/dvvCQMZTehctoryJekeGq6BiKmf0PM/sX4F+B9wDXgv7epHYGinx3yTdGUozWABEJq5RaXpcAB4HvAT8E/s3dDyQalUiGFvrz3ldtiyJXy0VEKlO0heLupxMthvUkcB7wjJn1JB2Y5JfGiq/VzFTf1dqRc/9BWtWiEGkgpXR5nQpcAfwJcBnREr6PJhyX5DFY8XX79uiSpMGKr42cVMotXZKdMP91Tu7Ldv9t0TeUTEQaSClXeX0PWEt0ddd6d3+zFoFVo5mv8kpjxddyJgbmW3jqq+/r5vw1Kt8vkqRqr/Iqaaa8mY0CTog3n2/0pNLMCaWlJWqZZDOLlt1tRPlnqhstPjToNCZMkWaR+Ex5M3s/8DPgNmA5sNXMZlf6glK57u4ooeTSyBVf812FlWu/SqQX1+xLBUh6lVJ65SvA+e7+fnefDXwQuDnZsCTbYFdQf44Lnhp9HY1ySpfkS4zu6bkAIUlpWCpAhq9SEspId39+cMPdtwIjkwtJclm6NPfSsa2tta/4Wu435HLmeyxbFiXIXNJwAULSClVOFqm3UgblVwIO3Bfv6gJGuPuChGOrWDOOoTTK2MngN+RiFXqr0d0dJdB8y+UO5/GUcsajRMpVi2rDi4DNwDXAp4HngKsrfUGpTKOslpfvG3L77UuDdUl1dUUJwyz3/bnGU4bLuEI541EitVbKxMbX3f0r7n6Ju/83d7/Z3V+vRXDytlxdQSHHTko9IeermzWBHUO6pEJMviw1iQ6ncQWV0peGlq8MMfAM8HS+WzUljpO+NWv5+lWr3Ds63M2if0MtvVrOErn5lsP9BR1vbY4dG2ap2FKXnC20RG8zlp3PfE+9dPh8VgX9fZDhiyrL1xdKKCcSlazPeavmRZO+NWtCSUo5a6bnSz7zWZXrEENuHRmHKzU5lvK4fiznC/bHsVW6lnwj0/rukoQkE8pP4n/vq+YF6nFTQjlUoW/q+U/Ihy40lX2sX8TfkIslE4iSgnvYk+G6Rav8TVpzvmC+/bkSZdp0dBRP2iLlSjKhPEtUv+vnRBWHh9yqedGkb0ooQxXr0iqnhZIpX2IYO7bwyS7UybDYSo7lrMiYNpb7O8BbSVukEtUmlEKD8lcDZwPvBP4w6zavyqEbqaFicxcqHejt6ormwHR0RFdkdXRE27fcUvgCglCz4XO9L3i7CnG+KsXNcEVUo1z1JzJEsYwDXFVNxqrHTS2UoUrp0go9eF1o7CNUC6XY+3rs5EU+kHXfAPhjJy+qKO5GojEUSQJJdXml+TZcE0q+pFBpl1ZSqjkZZp7we+ko+L7Kfd9pO0mnJflJeiihKKG4e+FxknIuC66VSk6G2Sf8+RR+X+VebKCBbhnulFCUUNy9+LfxtMzHKLerbD6rvJfc76vcFooGumW4qzahlFLL61xgk7u/ZmZXAKcDt7h7nkpL9deMtbyKaYYaT/kW1xosflluPbNy645pLRYZ7mpRy+t2YJ+Z/S7wl8B24JuVvqAkoxlqPOWqqLxvX7Qfyr+yqZwqx5B8eRuRZldKQjkYN4UuJmqZ3AIcmWxYUq5mqPFU7HLiSk74M5d30X6wlxYfoP1gb8GKyPkug67l0gAiaVZKQnnVzK4HrgC+Z2ataD2UhlPut/FGVKwFUosT/mCl44GB6F8lE5HSlZJQLgNeJ5qP8p/AccDfJBqVVKScb+ONqJQWSK1O+CGqJYsMNyOKPSBOIl/J2N5BDcdQzOwkonVYjgZ+4O631+q1pbYGk8PSpVE314QJUTKpdSsh++KAwbL8mTGKyKFKucrrbOCrwEnAKKAV2OvuRxU9eLTa4zzgRXc/NWP/BcAt8bHudvcvlXCsFuAud7+q2GOH41VeEo6u9pLhqhZXeX0NmA/8DBgNfAK4rcTj3wtckLkjHoO5DfgD4GRgvpmdbGZTzey7Wbd3xc+5COgBflDi60oNNdtqiaFqjYkMN6UkFNx9G9Dq7v3u/nVgTonPWwv8Kmv3WcA2d3/B3d8AHgQudvdn3H1e1u3F+DgPu/s5ROvZ52RmC81sg5lteOmll0oJTwLIt1riyt/vTu0YhAovilSmlISyz8xGAZvM7Mtm9hng8Cpe8zhgZ8Z2X7wvJzObY2a3mtmdwCP5HufuK9x9hrvPOOaYY6oIT0rV3Q3jb89dyfgDP1jK9u3RRMTMpYHTQPNRRCpTSkK5Mn7cEuA1YDzwR1W8puXYl3cgx93XuPs17v4pdy+1q00SNjhwPZ78a8xnypyg2Og0H0WkMqVc5TU4PHkA+GKA1+wjSkqD2oFdAY4rNTQ4q30HE+jk0BHsHRzaP5SmMYiuLiUQkXLlbaGY2cVm9qcZ2z82sxfi26VVvOZ6YLKZTYy70j4CPFzF8aQOBpPDX5F7hv5fcWj/kMYgRJpboS6vv2Toif4w4EyiAflFpRzczB4AngCmmFmfmV3l7geJus++D2wBVrv75gpilzoaTA4P0MUnWUEv0Qz97XTwD3NX8E9jhn691xiESPMrlFBGuXvm4HmPu++JJzaWNCjv7vPd/d3uPtLd2939nnj/I+5+grsf7+46zaRQ5sD1A3QxkV6OHDNAz6pePv7/ujQGITIMFRpD+a3MDXdfkrGpy6iGuWKz2jUGITL8FEooPzazT7r7XZk7zexTwJPJhiVpoKQhIpkKJZTPAP9oZpcDP4n3nUE0lvLhpAMTEZF0yZtQ4lnq55jZB4BT4t3fc/dHaxKZiIikSinzUB4FlERERKSgkmp5idSK1iERSa+iLRSRWtE6JCLpphaKNIzBci6Z0lQDTGS4U0KRhqF1SETSTQlFGobWIRFJNyUUaRhah0Qk3ZRQpGFoHRKRdNNVXtJQVM5FJL3UQhERkSCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUEREJQglFRESCUEIREZEglFBERCQIJRQREQlCCUVERIJQQhERkSCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUEREJQglFRESCUEIREZEglFBERCQIJRQREQlCCUVERIJQQhERkSAaPqGY2RwzW2dmd5jZnHrH02x6FnfTN6KTAWuhb0QnPYu76x2SiKRUognFzFaa2Ytm9mzW/gvM7Hkz22Zm1xU5jAN7gTagL6lYh6Oexd1Mv30h7f3bacFp79/O9NsXKqmISEXM3ZM7uNlsomTwTXc/Nd7XCmwFziNKEOuB+UArcFPWIT4O7Hb3ATM7FviKu3cVe90ZM2b4hg0bwr2RJtU3opP2/u2H7m/toP1gb+0DEpG6MrOn3H1Gpc8fETKYbO6+1sw6s3afBWxz9xcAzOxB4GJ3vwmYV+BwvwYOSyLO4Wpc/46y9ouIFFKPMZTjgJ0Z233xvpzM7BIzuxO4D/hagcctNLMNZrbhpZdeChZsM9vVOqGs/SIihdQjoViOfXn73dz92+7+KXe/zN3XFHjcCnef4e4zjjnmmBBxNr3ehct4jTFD9r3GGHoXLqtTRCKSZvVIKH3A+IztdmBXHeIY9mYu72LjohX0tXYwgNHX2sHGRSuYubzoMJWIyCESHUPJYz0w2cwmAr8EPgJcXoc4hCipECeQ9vgmIlKJpC8bfgB4AphiZn1mdpW7HwSWAN8HtgCr3X1zknGIiEjykr7Ka36e/Y8AjyT52iIiUlsNP1NeRETSQQlFRESCUEIREZEglFBERCQIJRQREQlCCUVERIJQQhERkSCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUEREJQglFRESCUEIREZEglFBERCQIJRQREQlCCUVERIJQQhERkSCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUEREJQglFRESCUEIREZEglFBERCQIJRQREQlCCUVERIJQQhERkSCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUEREJQglFRESCUEIREZEgRtQ7gGLMbBbQRRTrye5+Tp1DEhGRHBJtoZjZSjN70cyezdp/gZk9b2bbzOy6Qsdw93XufjXwXeAbScYrIiKVS7qFci/wNeCbgzvMrBW4DTgP6APWm9nDQCtwU9bzP+7uL8ZBIVz3AAAF8UlEQVQ/Xw58IuF4RUSkQokmFHdfa2adWbvPAra5+wsAZvYgcLG73wTMy3UcM5sA/MbdX8n3Wma2EFgYb76e3Soq4ijgN2Xen70vc7vYz4P/Hg3sbrA4c+0LGWe++yqNs9IYmznOQjGmMc6Qf0Oh40zz33quOKeUEeOh3D3RG9AJPJuxfSlwd8b2lcDXihzji8A5ZbzmhjJjXFHu/dn7MreL/Zzxb8PFmWdfsDjz3VdpnJXG2MxxFooxjXGG/BsKHWea/9ZDfZ6Zt3oMyluOfV7oCe7+1wnFMuifK7g/e98/l/FzsdcrJ45i95cbZ777y1HoefnuqzTOSmMs9tw0x1koxuztNMQZ8m+o2HOH09965s/VfJ5vsTgrJSbu8vquu58ab78P+IK7fzDevh7Aoy6vUK+5wd1nhDpeUhRnOGmIERRnaIozrGrjrMc8lPXAZDObaGajgI8ADwd+jRWBj5cUxRlOGmIExRma4gyrqjgTbaGY2QPAHKIBqf8C/trd7zGzC4G/J7qya6W7L0ssCBERqYnEu7xERGR4UOkVEREJQglFRESCGFYJxcxazGyZmX3VzP6k3vHkY2ZzzGydmd1hZnPqHU8hZna4mT1lZjknpTYCMzsp/iwfMrNF9Y4nHzP7sJndZWb/ZGbn1zuefMxskpndY2YP1TuWbPHv4zfiz7Gr3vHk0sifX6ZKfh9Tk1BC1AUDLgaOA94kKvvSqHE6sBdoa/A4AT4HrE4ixjieEPXgtnhUD+6PgUQu3QwU5z+6+yeBjwGXNXCcL7j7VUnEl0uZMV8CPBR/jhc1Yoy1/vyqiLP838dqZkXW8gbMBk5n6Kz7VuDnwCRgFPDvwMnAVKJikpm3dwHXAZ+Kn/tQA8fZEj/vWKC7geP8faLLvj8GzGvUOOPnXAQ8DlzeyHHGz/s74PQUxJnI31CVMV8PTIsfc38t4is3xlp/fgHiLPn3seHL1w/yAHXBzKwPeCPe7G/UODP8GjisUeM0s98DDif6Q95vZo+4+0CjxRkf52HgYTP7HnB/yBhDxWlmBnwJ+Bd3/0noGEPFWWvlxEzUom8HNlHDHpgyY3yuVnFlKydOM9tCmb+PqenyyuM4YGfGdl+8L59vAx80s68Ca5MMLEtZcZrZJWZ2J3AfUbXmWikrTndf6u5/TnSCvit0Mimg3M9zjpndGn+mjyQdXIZyfz//jKjVd6mZXZ1kYFnK/TzHmtkdwHSLK13UQb6Yvw38kZndTqByIlXIGWODfH6Z8n2WZf8+pqaFkkdZdcHcfR9Qj77LcuP8NtEfRq2VXWcNwN3vDR9KQeV+nmuANUkFU0C5cd4K3JpcOHmVG+ceoJYJL5ecMbv7a8CCWgeTR74YG+Hzy5QvzrJ/H9PeQukDxmdstwO76hRLIYozLMUZVlrizJSGmNMQIwSMM+0JpRZ1wUJQnGEpzrDSEmemNMSchhghZJy1vsqgiqsTHgD+g7cv+b0q3n8hsJXoKoWlilNxKs70x5m2mNMQYy3iVC0vEREJIu1dXiIi0iCUUEREJAglFBERCUIJRUREglBCERGRIJRQREQkCCUUkYDMbKmZbTazp81sk5m918zWxKXBN8W3S+PH9sfbz5rZP5vZO+sdv0g10l7LS6RhmNn7iKrznu7ur5vZ0UTlwAG63H1D1lP2u/u0+LnfAP4UWFazgEUCU0IRCefdwG53fx3A3XcDRFXpi3oCOC250ESSpy4vkXD+FRhvZlvNbLmZvT/jvu6MLq+xmU8ys1ZgLo1Z50mkZEooIoG4+17gDGAh8BLwD2b2sfjuLnefFt/2xPtGm9kmYA/w28D/rXXMIiEpoYgE5O797r7G3f8aWAL8UYGHD46hdBCNtfxpLWIUSYoSikggZjbFzCZn7JoGbC/2PHf/DXANcK2ZjUwqPpGkKaGIhHME8A0ze87MngZOBr5QyhPdfSPw70RrUYikksrXi4hIEGqhiIhIEEooIiIShBKKiIgEoYQiIiJBKKGIiEgQSigiIhKEEoqIiAShhCIiIkH8f0s9clr2y09gAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['SFR'], abs(data['G_flow_1.5']*data['HIgasfrac']), c='b', label='Inflow')\n",
    "plt.scatter(data['SFR'], data['G_flow_1.5']*data['HIgasfrac'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 1e2)\n",
    "plt.xlim(1e-6, 1e2)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('SFR')\n",
    "plt.title('Gas flow vs sSFR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs Rvir')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Rvir'], abs(data['G_flow_2.5']), c='b', label='Inflow')\n",
    "plt.scatter(data['Rvir'], data['G_flow_2.5'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 1e2)\n",
    "plt.xlim(5, 1e3)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('Rvir')\n",
    "plt.title('Gas flow vs Rvir')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gas flow vs Rvir')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Rvir'], abs(data['G_flow_1.5']), c='b', label='Inflow')\n",
    "plt.scatter(data['Rvir'], data['G_flow_.5'], c='r', label='Outflow')\n",
    "#plt.scatter(abs(data2['G_flow_2.5']), data2['sSFR'], c='b')\n",
    "#plt.scatter((data2['G_flow_2.5']), data2['sSFR'], c='r')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 1e2)\n",
    "plt.xlim(5, 1e3)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('Gas flow')\n",
    "plt.xlabel('Rvir')\n",
    "plt.title('Gas flow vs Rvir')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 5000.0)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['h1dist'], data['G_flow_2.5'], c='b', label='SF')\n",
    "plt.scatter(data['h1dist'][data['sSFR']<1e-11], data['G_flow_2.5'][data['sSFR']<1e-11], c='r', label='Q')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-7, 1)\n",
    "plt.xlim(10, 5e3)\n",
    "\n",
    "plt.legend()\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1)\n",
    "plt.xlim(10, 5e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 5000.0)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['h1dist'], data['G_flow_1.5'], c='b', label='SF')\n",
    "plt.scatter(data['h1dist'][data['sSFR']<1e-11], data['G_flow_1.5'][data['sSFR']<1e-11], c='r', label='Q')\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-10, 1)\n",
    "plt.xlim(10, 5e3)\n",
    "\n",
    "plt.legend()\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1)\n",
    "plt.xlim(10, 5e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bulk import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 5000.0)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(distance_to_nearest_halo(data), data['G_flow_2.5'],)\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1)\n",
    "plt.xlim(10, 5e3)\n",
    "\n",
    "plt.legend()\n",
    "plt.loglog()\n",
    "plt.ylim(1e-5, 1)\n",
    "plt.xlim(10, 5e3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1e-06, 1)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(abs(data['G_flow_2.5']), data['g_temp'])\n",
    "plt.scatter(data['G_flow_2.5'], data['g_temp'])\n",
    "\n",
    "plt.loglog()\n",
    "plt.ylim(5e3, 1e5)\n",
    "plt.xlim(1e-6, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1e-06, 1)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAECCAYAAAD6oXArAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAHgpJREFUeJzt3X9s1Vea3/H3YwdPvFktSMGMg3EUKiLSCKoCJpmW7SiTbQSjBMKi3Zkko5Wmkw1EKjv9yzNEm3aY7qjQRdpqM0kb2DRKI7Vk0W6WmiQVHQ2qMknTyjZUCmzKYrGqbBNqk10YbespJH76h33h3su99vfX/X7PvffzkvzH/XLv9x7/4Dz3nPOc55i7IyIiUtJRdANERCQsCgwiIlJBgUFERCooMIiISAUFBhERqaDAICIiFRQYRESkggKDiIhUuCOvNzKzu4B/DVwH/ou7//u83ltERKJLNWIws9fNbMrMzlZd32Zm581szMz2zV/eBfyJuz8H7EjzviIi0jhpp5LeALaVXzCzTuAV4OvAg8DTZvYgsAoYn3/aFynfV0REGiRVYHD394G/qrr8EDDm7hfd/TrwFvAkMMFccEj9viIi0jiNWGPo49bIAOYCwsPAS8DLZvY4cKLei81sN7Ab4K677tr0wAMPNKCJIiKta3R09Iq79yR9fSMCg9W45u7+f4B/tNiL3f2ImX0KbL/nnns2jYyMZN5AEZFWZmb/K83rGzGlMwH0lz1eBVyKcwN3P+Huu5cuXZppw0REZHGNCAzDwP1mttrMuoCngKE4NzCz7WZ25Nq1aw1onoiILCRtuupR4CNgrZlNmNmz7v45sBc4CXwCHHP3c3HuqxGDiEhxUq0xuPvTda6/B7yX9L5mth3YvmbNmqS3EBGRhIJMG9WIQUSkOEEGBhERKU6QgUGLzyIixQkyMGgqSUSkOEEGBo0YRESKE2Rg0IhBRKQ4uZ3HIPk4fmaSQyfPc+nqDCuXdTO4dS07N/QV3SwRaSIKDC3k+JlJXnj7Y2ZuzFU1n7w6wwtvfwyg4CAikQU5laQ1hmQOnTx/MyiUzNz4gkMnzxfUIhFpRkEGBq0xJHPp6kys6yIitQQZGCSZlcu6Y10XEalFgaGFDG5dS/eSzopr3Us6Gdy6tqAWiUgz0uJzCyktMCsrSbKiLLf2ZO5edBtuU1Zd9bkLFy4U3RyJQR1J66jOcoO5EeiBXev1Ow2cmY26+0DS1wc5laTF5+ZU6kgmr87g3EqXPX5msuimSQLKcmtfmkqKQJ+Co1moI9HPq/Gy/jtVllv7UmBYhDaNRaeOpDiN+DtduaybyRq/O2W5tb4gp5JCouF0dEqXLU4j/k6V5da+FBgWoU/B0akjKU4j/k53bujjwK719C3rxoC+Zd1aeG4TQU4lhXTms4bT0Sldtjhx/06jrkfs3NCn318bCjJdtWRgYMBHRkYKbYNS9qQZxPk71d9060ubrhrkiCEk+hQszSDO3+li2WPKwhONGEQC1ohOevW+d6n1v96Af/XNv6vRRAtoyQ1uItK4DYMLZY8pC09AgUEkWI3qpBfKHlMWnoACg0iwGtVJL5SGqr0oAjkuPpvZ3wJ+F1jq7r+R1/uKNKtGpkrXS0Md3Lq25hqD9qK0l0gjBjN73cymzOxs1fVtZnbezMbMbN9C93D3i+7+bJrGirSTIjYMalObQPQRwxvAy8CbpQtm1gm8AjwGTADDZjYEdAIHql7/HXefSt1akTZSVKq0NrVJpMDg7u+b2X1Vlx8Cxtz9IoCZvQU86e4HgCeybKRIu1InLUVIs/jcB4yXPZ6Yv1aTmd1tZq8CG8zshQWet9vMRsxsZHp6OkXzREQkiTSLz1bjWt3dcu7+GfD8Yjd19yNm9imwvaura1OK9omISAJpRgwTQH/Z41XApXTNmaMT3EREipNmxDAM3G9mq4FJ4CngmSwaFVJ11UYZHjpM/+lDrPBppqyH8Y2DbN6xp+hmiaSiOkutIWq66lHgI2CtmU2Y2bPu/jmwFzgJfAIcc/dzWTSq1UcMw0OHWTf6Ir1M02HQyzTrRl9keOhw3edf3r+G2R8s5fL+NXWfJ1IknfndOoIsolc2YnjuwoULRTcnc5f3r6GX2xfWL9ND7/6ximulINJt129em/Euzm76kUYYEpQtB0/V3JDXt6ybD/c9WkCL2ldLFtFr9RHDCq+dbbXCr9x2rf/0oYqgANBt1+k/faghbRNJSnWWWkeQgaHVTVlPnevLb7sWNYhoukmKpjpLrSPIwGBm283syLVr14puSkOMbxxkxrsqrs14F+MbB297bpQgEnfNQqQRdOZ36wgyMLT6VNLmHXs4u+lHXKaHWTcu01N3zSBKEKk33bTm9O9pFNFGjp+ZZMvBU6ze9y5bDp7KfdFXdZZaR5CLzyU6wW3OrdTWK0zZ8ttSW2d/sJSOGtsN3cHKrmvRunW18znOSv2+XdrF5yADQ6tnJWWtXpZTzefWyHyS5teuGUHK2qtNWUlSc7qpXryvlfnUDoqeZmm0ds0IUtZeYwQZGCSeWmsWV+2Xaz63VuZTq2uHjVftmhEUJ/VbogsyMLR6VlIjbN6xh979Y3T88Cq9+8cY2/jPImc+tbp2OOC+XTOC4qR+S3RBBgZNJaUXJ/Op1bXDNEu7ZgTFSf2W6HI781nyt3nHHpgPBL3zX+2okWcnh6QdD/XZvGMPw1CZtbdJWUlpKTBIy9MB961NH4Cyp8AgLa+os5NFmlWQgaEdzmOQfLXjNItIUlp8FhGRCkEGBhERKU6QU0kSn+rFiEhWFBhaQEW9mPmy20tHX2QYFBxEJDZNJbUA1YtpLzqUSRotyBGDspLiWeHTUKPsturFtJ68RoeammxvQY4YlJUUj+rFtI88Roc6EVCCDAwSj+rFtI88qolqalIUGFpASAXzNP/dWHmMDlXKWoJcY5D4QqgXo+yoxhvfOMjSGieWjW8azOx3PmU9NU8EnLLlqkPUJjRikMxoCqLxJvuf4J/b80zMLmfWjUssz3x0qKlJ0YhBMqPsqPqOn5lMXcSvdBLdzI2vcJSvAHNVYg/0r2dzhm1VKWvJNTCY2U7gcWAF8Iq7/+c83z8qpeolU28K4lPuZvjMZNsWsbvVoc+V/S4dLQrE+pksdBJd1j/bEKYmpTiRp5LM7HUzmzKzs1XXt5nZeTMbM7N9C93D3Y+7+3PAt4FvJmpxgylVL7laUxD/17v4lze+0XJnLMeR1dGi7XASnYQhzhrDG8C28gtm1gm8AnwdeBB42sweNLP1ZvZO1deKspe+OP+64GiePLlSdtSkz81/T8wuZ9+N32Zo9ldb7ozlOKJ26MfPTLLl4ClW73uXLQdP3RZI650451Dz+SJJRZ5Kcvf3zey+qssPAWPufhHAzN4CnnT3A8AT1fcwMwMOAv/J3U8nbXQjNfM8eQhTYJt37GH1f12F1/i3Rn+yDeH7ryXK0aJRpptqnURXknR6SqSWtFlJfcB42eOJ+Wv1/A7wD4HfMLPnaz3BzHab2YiZjUxP186nbqRm3UX80UvfZtPo94KYAqv3ybaRZyyHPAU4uHUt3Us6K65VHy1aPt20o+MDPuj6Luc6vsnm41+9+T3s3NDHgV3r6avzc2znUZlkK21gqPHZuuaHxbl/cH/J3Te5+/Pu/mqd5xxx9wF3H+jpqd1JN1IzpuoNDx3m4c/+jI6q30ZRU2BROsKshTIFWGs6qLxDN6BvWTcHdq2v+GRfGk3t6PiAg0teY1XHFToM+uxKRYDbuaGPD/c9WvM/Xvl9RNJIm5U0AfSXPV4FXEp5z0KL6DVjql7/6UO3BYWSIqbAijhjOYQpwMWmgxb6/kvTTd+74xi/VC/Alf0NRpmeEkkqbWAYBu43s9XAJPAU8EzaRrn7CeDEwMDAc2nvlUSzperV6xShuN2qeZ+xHMJu3TTppKX1g5VWO5BVB7ha6w2NHpVJ+4gcGMzsKPAIsNzMJoAfuPu/NbO9wEmgE3jd3c+lbZTKbsdTr1OcdTItlRCyuKUiomw4i7spLU06aem+nx5fTh+3B4fqAFfEqKwki816EjZzr7skULiBgQEfGRkpuhnBq6hRNG/W4b/f/ev8ve++UVzDcnYrK2l+CrBOVlL1lA/M7yAum/eP8pxqWw6eqjm907esmw/3PRr5e6j+Xc54V6SyF3l02El+LpI/Mxt194HErw8xMJSNGJ67cOFC0c1pClE7RYnWgSfp5LPqNJP8LvPqsLMIftJ4aQNDkLWSil5jaEbNti5SpChTPkmmhbKa3knyu8yrXIZ2X7eHIAOD1hhaQ6hz0VEyepJm/eS96F6SV4etbKj2EGTZbR3t2fxKUxuTV2dwbqVuhlC2Ico+i7h7MYo+oCivTYVF7FGR/AUZGKT5ZVU4rhGibDiL8pySJLuusw4keXXYcX4u0ry0+CwNsXrfuzW3wBvwlwcfz7s5kSSttXR5/5qa6cKX6aF3/1jN90maebSQUKfuJH9afJYgPXXnf+Mfz/4HVtoVLvlyfv/zbzA0+6vBzkWnOZY07q7rBct3pAgMRa1vSOvRVJJkbnjoMP/UX71Z72dVxxUOLnmNX7/jw2DnotPUWopbeHGF1y4O2QwVfKU9BBkYzGy7mR25du1a0U2RBPpPH7qt3s8v2XUG7/jjYD/Rpums4xZebNYKvtI+ggwMykpqbvU62V7/LOeWRFevs/6UuxfNpCodUHSZHmbduEzPgusFzVjBV9pLkGsM0txCKGgXV61aS6VjSX8S4QCcOJvSmrGCr7QXBQbJXNyCdkUpz0Lqtx7+x92Pc+9nP+MePuOS331zwZzZ7HcQa6e6hCzIdNUSFdFrXqHXbqqXMvr9+TOqazFInAaqVFLJk4roiSRQb+/BpC9ny/97acHXxi1Op4qkkre0gUGLz9KW6i2Q38Nnt+0grlbawR1193LIu8BFagkyMIg02kIpo+UlH+rZ9POfRC6DoYqk0mwUGKQtLZQyunNDHx/ue5S/PPg4fXV2an9/ybHIG+KSFLgruiiftDcFBmlLUfce1CtOd0+N4zeh9oa4JJVa4xblE8mS0lWlbUVJGa13+M7Uf4y+VyPuAT6NqqUUhbKnBAINDDqoR0JSqzjd8Hi8vRpxCtzFLcqXlersqdIZGrDw5j5pPUFOJSkrSUK32FTU8TOTbDl4itX73mXLwVOxDigqqpaSsqekJMgRg4Qv6dkFWb0+BPWmotJ+8i5q57iyp6QkyBGDhC3t4mirL66m/eQdtyhfVvI6HlTCpxGDxJZ2cbTIxdUk4i7IZvHJu4haSoNb19bcoR3qGRrSOAoMElvaxdGsFlfzmI5KMi20clk3kzWCQOifvONmT0nrUmCQ2JKW1S515F+ue9/oZbnTHMVZbrHRwELTQvU6zLifvENKEdXxoAJaY5AEkhw0U76uYDVGC3EPqklzFGdJaTQweXUG59ZooDyDaNPPf8IHXd/l4pee4YOu77Kj4wNg4WmhnRv6Kspq9C3rrlswL0obRPKW24jBzP428E+A5cBP3f3f5PXekq0kB83U6sgB3OF/W0/sg2qymI5abDQwPHSYg0teu3lM6SqbO7uaGzD6K48teO+on7yTjEhEGi1SYDCz14EngCl3X1d2fRvwh0An8Jq7H6x3D3f/BHjezDqAP0rVailc3MXReh25Y/TuH4u9uJrFKXGLLRLXO7v6e3ccY2Tr3ljtTdoGkSJEnUp6A9hWfsHMOoFXgK8DDwJPm9mDZrbezN6p+lox/5odwAfATzP7DqQpZL1pK4tzkxdLz6xXmnulfZbZp3mliEqIIgUGd38f+Kuqyw8BY+5+0d2vA28BT7r7x+7+RNXX1Px9htz97wPfqvdeZrbbzEbMbGR6uvZ/TGk+WXTk5bLI9V+suF0eO5DjFtgTyUOaNYY+YLzs8QTwcL0nm9kjwC7gS8B79Z7n7keAIzB3tGeK9klAkqxLRLlnmlz/xdIz89iBrBRRCVHkoz3N7D7gndIag5n9JrDV3X97/vFvAQ+5+++kbpSO9pRAlJ9dfdnu5sc8w1u/+Io6cAlakUd7TgD9ZY9XAZdS3O8mFdGTUGzesYfe/WMM7TzHr33xCkd/8ZXYaaU6dEeaTZrAMAzcb2arzawLeAoYyqJRZrbdzI5cu3Yti9uJLChKJdSk9Y9avS6UtKZIgcHMjgIfAWvNbMLMnnX3z4G9wEngE+CYu5/LolEaMUheom4wS5pWmsVGPJG8RVp8dven61x/jwUWkpPSQT0SV9K6SVE3mC1W/6heWYuiDt0RSSPIkhgaMYQrzQE0jZJmuibqSGChtNKFRh1FHbojkkaQgUFrDGGq7gA3/fwnDPzZVwtfVE0zXRN1g9lC9Y8WGnVkvX9DJA9BVld19xPAiYGBgeeKbovcUt4B7uj4oKKOUNLqpllIM10TpxJqvfpHC406GrF/Q6TRggwMEqbyDvB7dxy7rY5QnoftlK8pzNJBB7O3PSdK3aTyDWaTV2foNKvINoqyT2Gx9YesDt0JqTy3tDZNJUlk5dMrK632p/E8FlWr1xTusFmq92nGma7ZuaHv5hrCF/M3irNPIY+yFirPLXkKMjBo8TlM5R3gJa+9eJrHomqtNQUz+Nw7EtdNSnNOc5zzF8rFWchPe460SByaSpLIyqddfv/n36hYY4Ds6wjVU29NoQOn44dXE03XpC1/Hffks7hHhqo8t+QpyBGDhGvnhj4+3PcoL/2LA5xLWd00qUakgOZd/jruCEDluSVPQQYGrTE0h1IdoY4fXqV3/1humTaNSAHNu/x13BGAynNLnoIMDFpjkIVkcRZDtaTrBEnFHQHk3T5pb5HLbhdhYGDAR0ZGim6GSOaq1xhgbgSQRWeftDyItI60Zbe1+CxSgEYd0FNK5e2262DFbjyU5hXkiEEH9Ygkc3n/Gnq5/Ujcy/TQu38s17Zo5FKcIg/qaRitMYgks8Jrn5OedzVXnUPR3IIMDCKSTCjVXHUORXNTYBBpIaFUcw1l5CLJKDCItJBGpPImEcrIRZJRVpJIi8mqmmu1OIvJ4xsHWVrKjpqXV8kUSU+BQUQWFTcNVudQNDelq4rIokJKg5XFKV1VJEAhno2dhhaT24umkqRlFXXiWdyS2s1gynpqjhiinJInzSfIEYNIWkWeeNaKh+qEkgYr+dCIQVrSQp1zoz+1N8uhOnFGVFpMbi8KDNKSiuycVy7rZrLG+4R0qE6S6a5GpcFKeDSVJC2pyBPP8j5UJ8lCdytOd0l2cg0MZnaXmY2a2RN5vq+0nyJPPMvzUJ2kaynNMt0lxYg0lWRmrwNPAFPuvq7s+jbgD4FO4DV3P7jIrb4PHEvYVpHIGnXeQZz3z+O9kq6lNMN0lxQn6hrDG8DLwJulC2bWCbwCPAZMAMNmNsRckDhQ9frvAH8H+HPgznRNFokmr865SEk/+Q9uXVvzBLmvPdDDloOnCgmmEo5IgcHd3zez+6ouPwSMuftFADN7C3jS3Q8wN7qoYGZfA+4CHgRmzOw9d59N0XaRtpf0k3+tEdXXHujhT0cnW2r/hSSTJiupDxgvezwBPFzvye7+uwBm9m3gSr2gYGa7gd0A9957b4rmibS+ep/8o6ylVI+othw8VViKr4QlTWCwGtcWLbzk7m8s8u9HzOxTYHtXV9emhG0TaQtZrqVoQVpK0gSGCaC/7PEq4FK65sxx9xPAiYGBgeeyuJ9IK8tqLUUL0lKSJl11GLjfzFabWRfwFDCURaPMbLuZHbl27VoWtxORCIpM8ZWwRAoMZnYU+AhYa2YTZvasu38O7AVOAp8Ax9z9XBaNUnVVkXiyqOaa5/4LCZvOYxBpctXlLWDuk7469fal8xhE2pzKW0jWggwMIhKdsokka0EGBi0+i0RXZMFAaU1BBgZNJYlEp2wiyVqQ5zGULT4X3RSR4BVdMFBaT5BZSSUDAwM+MjJSdDNERJpKS2YliYhIcRQYRESkQpCBQVlJIiLFCTIwKCtJRKQ4QQYGEREpjgKDiIhUCDIwaI1BRKQ4QQYGrTGIiBQnyMAgIiLFUWAQEZEKCgwiIlJBgUFERCooMIiISIUgA4PSVUVEihNkYFC6qohIcYI8qEekFR0/M6nDdKQpKDCI5OD4mUleePtjZm58AcDk1RleePtjAAUHCU6QU0kirebQyfM3g0LJzI0vOHTyfEEtEqlPgUEkB5euzsS6LlIkBQaRHKxc1h3rukiRcgsMZvaImf3MzF41s0fyel+REAxuXUv3ks6Ka91LOhncuragFonUFykwmNnrZjZlZmerrm8zs/NmNmZm+xa5jQN/A9wJTCRrrkhz2rmhjwO71tO3rBsD+pZ1c2DXei08S5DM3Rd/ktlXmevU33T3dfPXOoG/AB5jrqMfBp4GOoEDVbf4DnDF3WfN7MvAH7j7txZ734GBAR8ZGYnx7YiIiJmNuvtA0tdHSld19/fN7L6qyw8BY+5+cb4hbwFPuvsB4IkFbvfXwJfiN1WkOQwPHab/9CFW+DRT1sP4xkE279hTdLNEIkuzj6EPGC97PAE8XO/JZrYL2AosA15e4Hm7gd0A9957b4rmieRveOgw60ZfpNuug0Ev0ywdfZFhUHCQppEmMFiNa3Xnpdz9beDtxW7q7kfM7FNge1dX16YU7RPJXf/pQ3NBoUy3Xaf/9CFQYJAmkSYraQLoL3u8CriUrjlzVCtJmtUKn65z/UrOLRFJLk1gGAbuN7PVZtYFPAUMZdEoVVeVZjVlPXWuL8+5JSLJRU1XPQp8BKw1swkze9bdPwf2AieBT4Bj7n4ui0ZpxCDNanzjIDPeVXFtxrsY3zhYUItE4oualfR0nevvAe9l2iLmRgzA9jVr1mR9a5GG2rxjD8Mwn5V0hSlbzvgmZSVJc4m0j6Eo2scgIhJfLvsYRFqdzkoQuSXIwKCpJMmTzkoQqRRkdVUtPkuedFaCSKUgA4NInnRWgkilIAOD9jFInnRWgkilIAODppIkTzorQaRSkIvPInkqLTArK0lkTpCBQVlJkredG/oUCETmaSpJREQqBBkYRESkOAoMIiJSIcg1BpFWpvIbErogA4MWn6VVqfyGNIMgp5K0+CytSuU3pBkEOWIQKcrw0OH5sxSmmbIexjdme5aCym9IMwhyxCBShOGhw6wbfZFepukw6GWadaMvMjx0OLP3UPkNaQYKDCLz+k8fotuuV1zrtuv0nz6U2Xuo/IY0A00licxb4dNgta5fyew9VH5DmkGQgUFZSVKEKeuhl+ka15fTm+H7qPyGhC7IqSRlJUkRxjcOMuNdFddmvIvxjYMFtUikGEEGBpEibN6xh7ObfsRleph14zI9nN30o0yzkkSagbl70W2oa2BgwEdGRopuhohIUzGzUXcfSPp6jRhERKSCAoOIiFRQYBARkQq5pauaWQfwe8CvACPu/u/yem8REYku0ojBzF43sykzO1t1fZuZnTezMTPbt8htngT6gBvARLLmiohIo0UdMbwBvAy8WbpgZp3AK8BjzHX0w2Y2BHQCB6pe/x1gLfCRux82sz8Bfpqu6SIi0giRAoO7v29m91VdfggYc/eLAGb2FvCkux8Anqi+h5lNAKVCNF9U/7uIiIQhzRpDHzBe9ngCeHiB578N/NjM/gHwfr0nmdluYPf8w1+Y2bkUbay2FLhW4H3yeN1yILviPu0jq7+NPBXd5jzevxHvkcU909wjyWvjviZdVUZ3j/QF3AecLXv8m8BrZY9/C/hx1PtFfM8jId4v6X3yeB1zC/uZ/cza5Svrv7V2aHMe79+I98jinmnukeS1cV+Tth9Ik646AfSXPV4FXEpxv1pOBHq/pPfJ+3USXTP+jItucx7v34j3yOKeae6R5LW5/q4jl8SYX2N4x93XzT++A/gL4NeASWAYeMbds5z6kZjMbMRTbIUXkeaXth+Imq56FPgIWGtmE2b2rLt/DuwFTgKfAMcUFIJwpOgGiEjhUvUDQRfRExGR/KkkhoiIVFBgEBGRCgoMIiJSQYGhDZjZXWY2ama37UgXkdZmZo+Y2c/M7FUzeyTKaxQYmlCCoobfB47l20oRaZSYfYADfwPcScQCpspKakJm9lXmftFvlu0r6WRuX8nNoobA08BK5spk3Alccfd3Cmm0iGQmZh/wP9191sy+DPyBu39rsfvndh6DZMdjFDUEfhm4C3gQmDGz99x9NsfmikjG4vQB7v7n8//+18CXotxfgaF11Cxq6O57Aczs28yNGBQURFpTzT7AzHYBW4FlzB2fsCgFhtZhNa7dnCd09zfya4qIFKBmH+DubzNX3ToyLT63jjyKGopIuDLrAxQYWscwcL+ZrTazLuApYKjgNolIfjLrAxQYmpCKGoq0t0b3AUpXFRGRChoxiIhIBQUGERGpoMAgIiIVFBhERKSCAoOIiFRQYBARkQoKDCIiUkGBQUREKigwiIhIhf8PJJbko8EqQagAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['g_temp'], abs(data['G_flow_2.5']))\n",
    "plt.scatter(data['g_temp'], data['G_flow_2.5'])\n",
    "\n",
    "plt.loglog()\n",
    "plt.xlim(5e3, 1e5)\n",
    "plt.ylim(1e-6, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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