iris-pandas-intro.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "what is panda ?\n",
    "\n",
    "Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[35], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m get_ipython()\u001b[39m.\u001b[39mrun_line_magic(\u001b[39m'\u001b[39m\u001b[39mpip\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39minstall pandas\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m      3\u001b[0m \u001b[39m# better way of installing libraries\u001b[39;00m\n",
      "Cell \u001b[1;32mIn[35], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m get_ipython()\u001b[39m.\u001b[39mrun_line_magic(\u001b[39m'\u001b[39m\u001b[39mpip\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39minstall pandas\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m      3\u001b[0m \u001b[39m# better way of installing libraries\u001b[39;00m\n",
      "File \u001b[1;32m_pydevd_bundle/pydevd_cython.pyx:1457\u001b[0m, in \u001b[0;36m_pydevd_bundle.pydevd_cython.SafeCallWrapper.__call__\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m_pydevd_bundle/pydevd_cython.pyx:701\u001b[0m, in \u001b[0;36m_pydevd_bundle.pydevd_cython.PyDBFrame.trace_dispatch\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m_pydevd_bundle/pydevd_cython.pyx:1152\u001b[0m, in \u001b[0;36m_pydevd_bundle.pydevd_cython.PyDBFrame.trace_dispatch\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m_pydevd_bundle/pydevd_cython.pyx:1135\u001b[0m, in \u001b[0;36m_pydevd_bundle.pydevd_cython.PyDBFrame.trace_dispatch\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m_pydevd_bundle/pydevd_cython.pyx:312\u001b[0m, in \u001b[0;36m_pydevd_bundle.pydevd_cython.PyDBFrame.do_wait_suspend\u001b[1;34m()\u001b[0m\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\debugpy\\_vendored\\pydevd\\pydevd.py:2070\u001b[0m, in \u001b[0;36mPyDB.do_wait_suspend\u001b[1;34m(self, thread, frame, event, arg, exception_type)\u001b[0m\n\u001b[0;32m   2067\u001b[0m             from_this_thread\u001b[39m.\u001b[39mappend(frame_custom_thread_id)\n\u001b[0;32m   2069\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_threads_suspended_single_notification\u001b[39m.\u001b[39mnotify_thread_suspended(thread_id, thread, stop_reason):\n\u001b[1;32m-> 2070\u001b[0m         keep_suspended \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_do_wait_suspend(thread, frame, event, arg, suspend_type, from_this_thread, frames_tracker)\n\u001b[0;32m   2072\u001b[0m frames_list \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m   2074\u001b[0m \u001b[39mif\u001b[39;00m keep_suspended:\n\u001b[0;32m   2075\u001b[0m     \u001b[39m# This means that we should pause again after a set next statement.\u001b[39;00m\n",
      "File \u001b[1;32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\debugpy\\_vendored\\pydevd\\pydevd.py:2106\u001b[0m, in \u001b[0;36mPyDB._do_wait_suspend\u001b[1;34m(self, thread, frame, event, arg, suspend_type, from_this_thread, frames_tracker)\u001b[0m\n\u001b[0;32m   2103\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_call_input_hook()\n\u001b[0;32m   2105\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_internal_commands()\n\u001b[1;32m-> 2106\u001b[0m     time\u001b[39m.\u001b[39;49msleep(\u001b[39m0.01\u001b[39;49m)\n\u001b[0;32m   2108\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcancel_async_evaluation(get_current_thread_id(thread), \u001b[39mstr\u001b[39m(\u001b[39mid\u001b[39m(frame)))\n\u001b[0;32m   2110\u001b[0m \u001b[39m# process any stepping instructions\u001b[39;00m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "%pip install pandas\n",
    "\n",
    "# better way of installing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from pandas) (2.8.2)\n",
      "Collecting pytz>=2020.1\n",
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      "Requirement already satisfied: six>=1.5 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
      "Installing collected packages: pytz, pandas\n",
      "Successfully installed pandas-1.5.3 pytz-2022.7.1\n"
     ]
    }
   ],
   "source": [
    "%pip install pandas\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(150, 6) \n",
      "\n",
      "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
      "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
      "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
      "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
      "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
      "4   5            5.0           3.6            1.4           0.2  Iris-setosa\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "data = pd.read_csv(r'C:/Users/rajat/codebase/pyLAB/csv/iris.csv')\n",
    "\n",
    "# print(data)\n",
    "# but better way of displaying data is\n",
    "print(data.shape, \"\\n\")\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 6 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Id             150 non-null    int64  \n",
      " 1   SepalLengthCm  150 non-null    float64\n",
      " 2   SepalWidthCm   150 non-null    float64\n",
      " 3   PetalLengthCm  150 non-null    float64\n",
      " 4   PetalWidthCm   150 non-null    float64\n",
      " 5   Species        150 non-null    object \n",
      "dtypes: float64(4), int64(1), object(1)\n",
      "memory usage: 7.2+ KB\n"
     ]
    }
   ],
   "source": [
    "\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "<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>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>75.500000</td>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>43.445368</td>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>38.250000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>75.500000</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>112.750000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
       "count  150.000000     150.000000    150.000000     150.000000    150.000000\n",
       "mean    75.500000       5.843333      3.054000       3.758667      1.198667\n",
       "std     43.445368       0.828066      0.433594       1.764420      0.763161\n",
       "min      1.000000       4.300000      2.000000       1.000000      0.100000\n",
       "25%     38.250000       5.100000      2.800000       1.600000      0.300000\n",
       "50%     75.500000       5.800000      3.000000       4.350000      1.300000\n",
       "75%    112.750000       6.400000      3.300000       5.100000      1.800000\n",
       "max    150.000000       7.900000      4.400000       6.900000      2.500000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id               0\n",
       "SepalLengthCm    0\n",
       "SepalWidthCm     0\n",
       "PetalLengthCm    0\n",
       "PetalWidthCm     0\n",
       "Species          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Species\n",
       "Iris-setosa        50\n",
       "Iris-versicolor    50\n",
       "Iris-virginica     50\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.value_counts(\"Species\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Visualization Libraries\n",
    "\n",
    "`%pip install matplotlib` <br>\n",
    "`%pip install seaborn`\n",
    "\n",
    "Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.\n",
    "\n",
    "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.\n",
    "\n",
    "### Relation betwween Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (0.12.2)\n",
      "Requirement already satisfied: numpy!=1.24.0,>=1.17 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from seaborn) (1.24.2)\n",
      "Requirement already satisfied: pandas>=0.25 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from seaborn) (1.5.3)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from seaborn) (3.7.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.4.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.38.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from pandas>=0.25->seaborn) (2022.7.1)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Requirement already satisfied: matplotlib in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (3.7.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (1.4.4)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (3.0.9)\n",
      "Requirement already satisfied: numpy>=1.20 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (1.24.2)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (1.0.7)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (23.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (4.38.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (0.11.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from matplotlib) (9.4.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\rajat\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install seaborn\n",
    "%pip install matplotlib\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualising the data in Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.countplot(x=\"Species\", data=data)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing SepalLengthCm & SepalWidthCm of Iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='SepalLengthCm', y='SepalWidthCm', hue='Species', data = data)\n",
    "plt.legend(bbox_to_anchor=(1,1), loc=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing PetalLengthCm & PetalWidthCm of Iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='PetalLengthCm', y='PetalWidthCm', hue='Species', data = data)\n",
    "plt.legend(bbox_to_anchor=(1,1), loc=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Multivariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1ebbcfeaef0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 543x400 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data.drop(['Id'], axis=1), hue='Species', height=1)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Handing Correlation\n",
    "\n",
    "it comapres the relationship between two variables \n",
    "\n",
    "Using a simple `.corr()` is not suitable for this purpose. We need to use a heatmap to visualize the correlation matrix.\n",
    "\n",
    "in heatmax we can see the correlation between the variables. The lighter the color, the more correlated the variables are.\n",
    "look for the lightest color box inside the heatmap mostly near the diagonal line boxes contains [1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rajat\\AppData\\Local\\Temp\\ipykernel_14832\\2721894934.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  data.corr(method='pearson')\n"
     ]
    },
    {
     "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>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Id</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.716676</td>\n",
       "      <td>-0.397729</td>\n",
       "      <td>0.882747</td>\n",
       "      <td>0.899759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <td>0.716676</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.109369</td>\n",
       "      <td>0.871754</td>\n",
       "      <td>0.817954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <td>-0.397729</td>\n",
       "      <td>-0.109369</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.420516</td>\n",
       "      <td>-0.356544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <td>0.882747</td>\n",
       "      <td>0.871754</td>\n",
       "      <td>-0.420516</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.962757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <td>0.899759</td>\n",
       "      <td>0.817954</td>\n",
       "      <td>-0.356544</td>\n",
       "      <td>0.962757</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  \\\n",
       "Id             1.000000       0.716676     -0.397729       0.882747   \n",
       "SepalLengthCm  0.716676       1.000000     -0.109369       0.871754   \n",
       "SepalWidthCm  -0.397729      -0.109369      1.000000      -0.420516   \n",
       "PetalLengthCm  0.882747       0.871754     -0.420516       1.000000   \n",
       "PetalWidthCm   0.899759       0.817954     -0.356544       0.962757   \n",
       "\n",
       "               PetalWidthCm  \n",
       "Id                 0.899759  \n",
       "SepalLengthCm      0.817954  \n",
       "SepalWidthCm      -0.356544  \n",
       "PetalLengthCm      0.962757  \n",
       "PetalWidthCm       1.000000  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr(method='pearson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\rajat\\AppData\\Local\\Temp\\ipykernel_14832\\2974826224.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  sns.heatmap(data.corr(method='pearson').drop(['Id'], axis=1).drop(['Id'], axis=0), annot=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.corr(method='pearson').drop(['Id'], axis=1).drop(['Id'], axis=0), annot=True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### whats int64?\n",
    "\n",
    "int64 is a data type in pandas. It is used to store integer values. It is a 64-bit signed integer. It can store values from -9223372036854775808 to 9223372036854775807.\n",
    "\n",
    "use `astype` to convert the int64 to int32\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Type of Memory Allocation of x int64\n",
      "Type of Memory Allocation of y int32\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "x = np.array([1,2,3], dtype=np.int64)\n",
    "print(\"Type of Memory Allocation of x\",x.dtype)\n",
    "\n",
    "y = x.astype(np.int32)\n",
    "print(\"Type of Memory Allocation of y\",y.dtype)\n"
   ]
  }
 ],
 "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",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}