Matplotlib.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "Year=[2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020]\n",
    "Temp_I=[0.1,8.3,2.3,4,5,22,12.4,9.8,3.4,2.4,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "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.plot(Year,Temp_I)\n",
    "plt.xlabel('year')\n",
    "plt.ylabel('tempindex')\n",
    "plt.title('globalwarming',{'fontsize':12,'horizontalalignment':'center'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "Month=['jan','feb','march','april','may','june','july','august','september','october','november','december']\n",
    "customer1=[10,12,22,11,22,2,33,23,21,12,44,17]\n",
    "customer2=[1,22,32,41,21,25,13,3,11,15,14,5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "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.plot(Month,customer1,color='red',label='cust1',marker='o')\n",
    "plt.plot(Month,customer2,color='blue',label='customer2',marker='^')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elect consumption')\n",
    "plt.title(\"buildind details\")\n",
    "plt.legend(loc='lower left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "plt.subplot(1,2,1)\n",
    "plt.plot(Month,customer1,color='red',label='cust1',marker='o')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elect consumption')\n",
    "plt.title(\"buildind details1\")\n",
    "plt.subplot(1,2,2)\n",
    "plt.plot(Month,customer2,color='blue',label='customer2',marker='^')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elect consumption')\n",
    "plt.title(\"buildind details2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "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(Month,customer1,color='red',label='cust1')\n",
    "plt.scatter(Month,customer2,color='blue',label='cust2')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elec consumption')\n",
    "plt.title(\"scatter plot of building consumption\")\n",
    "plt.grid()\n",
    "plt.legend(loc=\"best\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAavElEQVR4nO3de5gfVZ3n8fdnQpBxAAmmVYYkBDRewOFmG3BlRrxhcBWYER0QFWd1sqPgZWfEBZ0lGHd2nHFndFxByGgevCAoIBg0XLICIrpIEkHuSIzjJBkkgYCiIBjy2T/qNBRNdXcFuvrX6f68nuf3dJ1Tp6q+v3rS+XbVqTpHtomIiBjs93odQEREjE9JEBER0SgJIiIiGiVBREREoySIiIholAQRERGNkiBiUpJkSc8bYt0xki4b65gixhvlPYiYjCQZmGN71VPYx5nAWtt/O2qBRYwjuYKIGIckbdPrGCKSIGIye42kOyTdJ+lUSQKQ9E5JV5dlSfqUpPWSfiXpRkkvljQfOAb4sKRfS7qotH+RpCvLPm+WdNjAwSQ9U9JFZT/LJf3PgeOU9ZZ0nKQ7gDtK3b9IWlO2WSnpj2vtT5F0rqSvSLq/xPZ8SSeVeNdIOmRMzmRMSEkQMZm9AXgpsDfwFuB1DW0OAf4EeD7wjNLuHtuLgLOAf7S9ve03SpoKXARcBjwLeB9wlqQXlH2dCvwGeA5wbPkMdgRwALBnKS8H9gV2Br4KnCtpu1r7NwJfBqYB1wGXUv1e7wosBM5ofTYiBkmCiMnsE7bvs/3vwBVU/xEP9jtgB+CFVH12t9q+c4j9HQhsX/b7sO3LgW8BR0uaArwJWGD7Adu3AF9s2Mff295o+0EA21+xfY/tTbb/CXga8IJa++/ZvtT2JuBcoK8c/3fAOcBsSTttwTmJeFQSRExmv6gtP0D1n/vjlP/kP0v11/96SYsk7TjE/v4QWGN7c63u51R/zfcB2wBrauvqy411kj4k6VZJv5R0H9VVzPRak7tqyw8Cd9t+pFam6XtFtJEEETEC25+x/RKq2z7PB04YWDWo6X8AMyXVf69mAeuADcAmYEZt3cymww0slP6GD1Pd1ppmeyfgl4Ce9JeJ2AJJEBHDkPRSSQeU/oXfAL8FBq4Q7gL2qDX/IdWVyIclTZV0MFUfwTnlr/pvAKdIerqkFwLvGOHwO1AllQ3ANpJOBoa6eokYdUkQEcPbEfhX4F6q20X3AJ8s674A7FmeWLrQ9sNUCeFQ4G7gNOAdtm8r7Y+nukX0C6qO5bOBh4Y59qXAJcBPyrF/S/NtqYhO5EW5iB6R9A/Ac2w3Pc0U0XO5gogYI5JeKGnv8m7FXOBdwAW9jitiKHlbM2Ls7EB1W+kPqfov/gn4Zk8jihhGbjFFRESj3GKKiIhGE+oW0/Tp0z179uxehxERsdVYuXLl3bb7mtZNqAQxe/ZsVqxY0eswIiK2GpJ+PtS63GKKiIhGSRAREdEoCSIiIholQURERKMkiIiIaJQEERERjTpLEJJmSrpC0i1lbt4PNLSRpM9IWiXpBkn719YdW+YLvkNSBjOLiBhjXb4HsQn4G9s/krQDsFLSsjLV4oBDgTnlcwDwOeAASTsDC4B+qglUVkpaYvveDuONiIiazq4gbN9p+0dl+X7gVqqpF+sOB77kyjXATpJ2oZo8flmZm/deYBkwr6tYIyLiicbkTWpJs4H9qGbcqtuVx0+AsrbUDVXftO/5wHyAWbNmjU7A8Sh97LHZLb0gAzs2yTmKiarzTmpJ2wPnAx+0/avR3r/tRbb7bff39TUOJxIREU9CpwmizON7PnCW7W80NFnH4ydun1HqhqqPiIgx0uVTTKKas/dW2/88RLMlwDvK00wHAr+0fSfVXLyHSJomaRpwSKmLiIgx0mUfxMuBtwM3Srq+1H0EmAVg+3RgKfB6YBXwAPAXZd1GSR8HlpftFtre2GGsERExSGcJwvbVgEZoY+C4IdYtBhZ3EFpERLSQN6kjIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGiVBREREoySIiIholAQRERGNkiAiIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGiVBREREoySIiIholAQRERGNOpswSNJi4A3Aetsvblh/AnBMLY4XAX1lNrl/A+4HHgE22e7vKs6IiGjW5RXEmcC8oVba/qTtfW3vC5wEfHfQtKKvLOuTHCIieqCzBGH7KqDtPNJHA2d3FUtERGy5nvdBSHo61ZXG+bVqA5dJWilpfm8ii4iY3Drrg9gCbwS+P+j20kG210l6FrBM0m3liuQJSgKZDzBr1qzuo42ImCR6fgUBHMWg20u215Wf64ELgLlDbWx7ke1+2/19fX2dBhoRMZn0NEFIegbwCuCbtbo/kLTDwDJwCHBTbyKMiJi8unzM9WzgYGC6pLXAAmAqgO3TS7M/BS6z/Zvaps8GLpA0EN9XbV/SVZwREdGsswRh++gWbc6kehy2Xrca2KebqCIioq3x0AcRERHjUBJEREQ0SoKIiIhGSRAREdEoCSIiIholQURERKMkiIiIaJQEERERjZIgIiKiURJEREQ0SoKIiIhGSRAREdEoCSIiIholQURERKMkiIiIaJQEERERjZIgIiKiUWcJQtJiSeslNc4nLelgSb+UdH35nFxbN0/S7ZJWSTqxqxgjImJoXV5BnAnMG6HN92zvWz4LASRNAU4FDgX2BI6WtGeHcUZERIPOEoTtq4CNT2LTucAq26ttPwycAxw+qsFFRMSIet0H8TJJP5Z0saS9St2uwJpam7WlrpGk+ZJWSFqxYcOGLmONiJhUepkgfgTsZnsf4P8AFz6ZndheZLvfdn9fX99oxhcRMan1LEHY/pXtX5flpcBUSdOBdcDMWtMZpS4iIsZQzxKEpOdIUlmeW2K5B1gOzJG0u6RtgaOAJb2KMyJistqmqx1LOhs4GJguaS2wAJgKYPt04EjgPZI2AQ8CR9k2sEnS8cClwBRgse2bu4ozIiKatUoQkv4TMLve3vaXhtvG9tEjrP8s8Nkh1i0FlraJLSIiujFigpD0ZeC5wPXAI6XawLAJIiIitm5triD6gT3L7Z+IiJgk2nRS3wQ8p+tAIiJifGlzBTEduEXStcBDA5W2D+ssqoiI6Lk2CeKUroOIiIjxZ8QEYfu7kp4NvLRUXWt7fbdhRUREr43YByHpLcC1wJuBtwA/lHRk14FFRERvtbnF9FHgpQNXDZL6gP8LnNdlYBER0VttnmL6vUG3lO5puV1ERGzF2lxBXCLpUuDsUv5z8pZzRMSE16aT+gRJbwJeXqoW2b6g27AiIqLXWo3FZPt84PyOY4mIiHFkyAQh6WrbB0m6n2rspUdXAba9Y+fRRUREzwyZIGwfVH7uMHbhRETEeNHmPYgvt6mLiIiJpc3jqnvVC5K2AV7STTgRETFeDJkgJJ1U+h/2lvQrSfeX8l3AN8cswoiI6IkhE4Ttvy/9D5+0vaPtHcrnmbZPGmnHkhZLWi/ppiHWHyPpBkk3SvqBpH1q6/6t1F8vacWT+mYREfGUtHnM9SOS/gw4iOpppu/ZvrDFdmdSTSk61MxzPwNeYfteSYcCi4ADautfafvuFseJiIgOtOmDOBX4K+BGqsmD/krSqSNtZPsqYOMw639g+95SvAaY0SKWiIgYI22uIF4FvGhgylFJXwRuHuU43gVcXCsbuEySgTNsLxpqQ0nzgfkAs2bNGuWwIiImrzYJYhUwC/h5Kc8sdaNC0iupEsRBteqDbK+T9CxgmaTbyhXJE5TksQigv78/82ZHRIySNreYdgBulXSlpCuBW4AdJS2RtOSpHFzS3sDngcNt3zNQb3td+bkeuACY+1SOExERW67NFcTJXRxY0izgG8Dbbf+kVv8HVEOM31+WDwEWdhFDREQMrdWUowCSdqy3tz1kB3RpfzZwMDBd0lpgATC1bHs6VeJ5JnCaJIBNtvuBZwMXlLptgK/avmRLv1hERDw1IyaI0gm8EPgtsJkyWB+wx3Db2T56hPXvBt7dUL8a2OeJW0RExFhqc4vpBODFeSchImJyadNJ/VPgga4DiYiI8aXNFcRJwA8k/RB4aKDS9vs7iyoiInquTYI4A7ic6k3qzd2GExER40WbBDHV9l93HklERIwrbfogLpY0X9IuknYe+HQeWURE9FSbK4iBx1XrQ3yP+JhrRERs3dq8KLf7WAQSERHjS5sX5d7RVG97qHkeIiJiAmhzi+mlteXtgFcDP2LoiYAiImICaHOL6X31sqSdgHO6CigiIsaHNk8xDfYbIP0SERETXJs+iIuonlqCKqHsCXy9y6AiIqL32vRB/O/a8ibg57bXdhRPRESME20SxArgQdubJT0f2F/SXbZ/13FsERHRQ236IK4CtpO0K3AZ8HbgzC6DioiI3muTIGT7AeDPgNNsvxnYq9uwIiKi11olCEkvA44Bvl3qprTZuaTFktZLummoHUv6jKRVkm6QtH9t3bGS7iifY9scLyIiRk+bBPEBqnGYLrB9s6Q9gCta7v9MYN4w6w8F5pTPfOBzAGUwwAXAAcBcYIGkaS2PGRERo6DNi3JXUfVDDJRXA60mC7J9laTZwzQ5HPiSbQPXSNpJ0i7AwcAy2xsBJC2jSjRntzluREQ8dW3eg3g+8CFgdr297VeNwvF3BdbUymtL3VD1TfHNp7r6YNasWU86EH1Mjy57gYdpuXUb6ntuLd+/l3E+lWNvLed3rOW8PHljce7aPOZ6LnA68HngkU6ieApsLwIWAfT39+dfWETEKGmTIDbZ/lxHx18HzKyVZ5S6dVS3mer1V3YUQ0RENGjTSX2RpPd2NKPcEuAd5WmmA4Ff2r4TuBQ4RNK00jl9SKmLiIgx0uYKYuAR0xNqda1mlJN0NtWVwHRJa6meTJoKYPt0YCnwemAV8ADwF2XdRkkfB5aXXS0c6LCOiIix0emMcraPHmG9geOGWLcYWPxkjx0REU9Nm6eYpgLvAf6kVF0JnJGxmCIiJrY2t5g+R3Vb6LRSfnupe3dXQUVERO+1mnLU9j618uWSftxVQBERMT60eYrpEUnPHSiUoTbG3fsQERExutpcQZwAXCFpNSBgN8rTRhERMXG1eYrpO5LmAC8oVbfbfqjbsCIiotdGvMUk6Tjg923fYPsG4OmS3tt9aBER0Utt+iD+0vZ9AwXb9wJ/2VlEERExLrRJEFMkPTpsoKQpwLbdhRQREeNBm07qS4CvSTqjlP9rqYuIiAmsTYL471TzLbynlJdRDf0dERETWJunmDZTzQdxevfhRETEeNGmDyIiIiahJIiIiGiUBBEREY3avCi3TNJOtfI0SZndLSJigmtzBTG94UW5Z3UWUUREjAttEsRmSbMGCpJ2o5pydESS5km6XdIqSSc2rP+UpOvL5yeS7qute6S2bkmb40VExOhp8x7ER4GrJX2XajTXP6Z6L2JY5Y3rU4HXAmuB5ZKW2L5loI3t/1Zr/z5gv9ouHrS9b5svERERo6/NexCXSNofOLBUfdD23S32PRdYZXs1gKRzgMOBW4ZofzSwoMV+IyJiDLTppBYwD9jf9reoRnOd22LfuwJrauW1pa7pGLsBuwOX16q3k7RC0jWSjhgmvvml3YoNGza0CCsiItpo0wdxGvAyqr/wAe6nunU0mo4CzrNdn6luN9v9wFuBT9dntauzvch2v+3+vr6+UQ4rImLyapMgDrB9HPBbePQppjajua4DZtbKM0pdk6OAs+sVtteVn6uBK3l8/0RERHSsTYL4XelwNoCkPmBzi+2WA3Mk7S5pW6ok8ISnkSS9EJgG/L9a3TRJTyvL04GXM3TfRUREdKDNU0yfAS4AniXp74Ajgb8daSPbmyQdD1wKTAEW275Z0kJghe2BZHEUcI7t+qOzLwLOkLSZKol9ov70U0REdK/NU0xnSVoJvJrqMdcjbN/aZue2lwJLB9WdPKh8SsN2PwD+qM0xIiKiG0MmCEk714rrqfURSNrZ9sYuA4uIiN4a7gpiJVW/g2p1A2UDe3QYV0RE9NiQCcL27mMZSEREjC+tXpST9DZJ/6OUZ7V8US4iIrZiW/Ki3FtLuYsX5SIiYpxp85jrAbb3l3QdVC/KlfcaIiJiAuvyRbmIiNiKtUkQg1+Uuxr4X51GFRERPdfpi3IREbH1atMHge3bgNs6jiUiIsaRNreYIiJiEkqCiIiIRkkQERHRKAkiIiIaJUFERESjJIiIiGiUBBEREY06TRCS5km6XdIqSSc2rH+npA2Sri+fd9fWHSvpjvI5tss4IyLiiVq9KPdklPGbTgVeC6wFlkta0jC39NdsHz9o252BBUA/1RhQK8u293YVb0REPF6XVxBzgVW2V9t+GDgHOLzltq8DltneWJLCMmBeR3FGRESDLhPErsCaWnltqRvsTZJukHSepJlbuC2S5ktaIWnFhg0bRiPuiIig953UFwGzbe9NdZXwxS3dge1Ftvtt9/f19Y16gBERk1WXCWIdMLNWnlHqHmX7HtsPleLngZe03TYiIrrVZYJYDsyRtHuZge4oYEm9gaRdasXDgIFhxC8FDpE0TdI04JBSFxERY6Szp5hsb5J0PNV/7FOAxbZvlrQQWGF7CfB+SYcBm4CNwDvLthslfZwqyQAstL2xq1gjIuKJOksQALaXAksH1Z1cWz4JOGmIbRcDi7uMLyIihtbrTuqIiBinkiAiIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGiVBREREoySIiIholAQRERGNkiAiIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGiVBREREoySIiIholAQRERGNOk0QkuZJul3SKkknNqz/a0m3SLpB0nck7VZb94ik68tnyeBtIyKiW51NOSppCnAq8FpgLbBc0hLbt9SaXQf0235A0nuAfwT+vKx70Pa+XcUXERHD6/IKYi6wyvZq2w8D5wCH1xvYvsL2A6V4DTCjw3giImILdJkgdgXW1MprS91Q3gVcXCtvJ2mFpGskHTHURpLml3YrNmzY8JQCjoiIx3R2i2lLSHob0A+8ola9m+11kvYALpd0o+2fDt7W9iJgEUB/f7/HJOCIiEmgyyuIdcDMWnlGqXscSa8BPgocZvuhgXrb68rP1cCVwH4dxhoREYN0mSCWA3Mk7S5pW+Ao4HFPI0naDziDKjmsr9VPk/S0sjwdeDlQ79yOiIiOdXaLyfYmSccDlwJTgMW2b5a0EFhhewnwSWB74FxJAP9u+zDgRcAZkjZTJbFPDHr6KSIiOtZpH4TtpcDSQXUn15ZfM8R2PwD+qMvYIiJieHmTOiIiGiVBREREoySIiIholAQRERGNkiAiIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGiVBREREoySIiIholAQRERGNkiAiIqJREkRERDRKgoiIiEZJEBER0SgJIiIiGnWaICTNk3S7pFWSTmxY/zRJXyvrfyhpdm3dSaX+dkmv6zLOiIh4os4ShKQpwKnAocCewNGS9hzU7F3AvbafB3wK+Iey7Z7AUcBewDzgtLK/iIgYI11eQcwFVtlebfth4Bzg8EFtDge+WJbPA14tSaX+HNsP2f4ZsKrsLyIixohsd7Nj6Uhgnu13l/LbgQNsH19rc1Nps7aUfwocAJwCXGP7K6X+C8DFts9rOM58YH4pvhi4qZMvNHFMB+7udRDjWM7PyHKOhre1nZ/dbPc1rdhmrCMZbbYXAYsAJK2w3d/jkMa1nKPh5fyMLOdoeBPp/HR5i2kdMLNWnlHqGttI2gZ4BnBPy20jIqJDXSaI5cAcSbtL2paq03nJoDZLgGPL8pHA5a7ueS0BjipPOe0OzAGu7TDWiIgYpLNbTLY3SToeuBSYAiy2fbOkhcAK20uALwBflrQK2EiVRCjtvg7cAmwCjrP9SIvDLuriu0wwOUfDy/kZWc7R8CbM+emskzoiIrZueZM6IiIaJUFERESjCZMgRhrWYzKStFjS+vK+yUDdzpKWSbqj/JzWyxh7SdJMSVdIukXSzZI+UOpzjgBJ20m6VtKPy/n5WKnfvQyNs6oMlbNtr2PtJUlTJF0n6VulPGHOz4RIEC2H9ZiMzqQaqqTuROA7tucA3ynlyWoT8De29wQOBI4r/25yjioPAa+yvQ+wLzBP0oFUQ+J8qgyRcy/VkDmT2QeAW2vlCXN+JkSCoN2wHpOO7auong6rqw9v8kXgiLGMaTyxfaftH5Xl+6l+yXcl5wgAV35dilPLx8CrqIbGgUl8fgAkzQD+M/D5UhYT6PxMlASxK7CmVl5b6uKJnm37zrL8C+DZvQxmvCgjCe8H/JCco0eV2yfXA+uBZcBPgftsbypNJvvv2qeBDwObS/mZTKDzM1ESRDwJ5aXESf+cs6TtgfOBD9r+VX3dZD9Hth+xvS/VaAZzgRf2NqLxQ9IbgPW2V/Y6lq5s9WMxFRmao727JO1i+05Ju1D9ZThpSZpKlRzOsv2NUp1zNIjt+yRdAbwM2EnSNuWv5Mn8u/Zy4DBJrwe2A3YE/oUJdH4myhVEm2E9olIf3uRY4Js9jKWnyv3iLwC32v7n2qqcI0BSn6SdyvLvA6+l6qe5gmpoHJjE58f2SbZn2J5N9X/O5baPYQKdnwnzJnXJ4p/msWE9/q63EfWepLOBg6mGH74LWABcCHwdmAX8HHiL7cEd2ZOCpIOA7wE38tg95I9Q9UNM+nMkaW+qTtYpVH9Mft32Qkl7UD0IsjNwHfA22w/1LtLek3Qw8CHbb5hI52fCJIiIiBhdE+UWU0REjLIkiIiIaJQEERERjZIgIiKiURJEREQ0SoKI6CFJO0l6b6188MCooBG9lgQR0Vs7Ae8dqVFELyRBRLQkabak2ySdKeknks6S9BpJ3y9zR8wtc0lcKOkGSdeUl82QdEqZn+NKSaslvb/s9hPAcyVdL+mTpW57SeeVY51V3viOGHMTZSymiLHyPODNwH+hGuLlrcBBwGFUb2GvAa6zfYSkVwFfoppLAaqB7l4J7ADcLulzVHNNvLgMiDfwRu5+wF7AfwDfpxrz5+rOv1nEILmCiNgyP7N9o+3NwM1UEwuZariO2VTJ4ssAti8Hnilpx7Ltt20/ZPtuqgEAhxpG/Frba8sxri/7jRhzSRARW6Y+ps7mWnkzI1+R17d9ZJj2bdtFdCoJImJ0fQ84Bh69XXT34DkmBrmf6pZTxLiTv0wiRtcpwGJJNwAP8Niw4Y1s31M6uW8CLga+3X2IEe1kNNeIiGiUW0wREdEoCSIiIholQURERKMkiIiIaJQEERERjZIgIiKiURJEREQ0+v/RcHX6vKk0NgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(customer1,bins=100,color='green')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elec consumption')\n",
    "plt.title(\" histogram\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "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.bar(Month,customer1,color='blue',width=0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "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.bar(Month,customer1,color='red',label='cust1')\n",
    "plt.bar(Month,customer2,color='blue',label='cust2')\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elec consumption')\n",
    "plt.title(\"bar chart\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "bar_width=0.4\n",
    "month_b=np.arange(12)\n",
    "plt.bar(month_b,customer1,bar_width,color='blue',label=\"customer1\")\n",
    "plt.bar(month_b+bar_width,customer2,bar_width,color='red',label=\"customer2\")\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elec consumption')\n",
    "plt.title(\"bar chart\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "bar_width=0.4\n",
    "month_b=np.arange(12)\n",
    "plt.bar(month_b,customer1,bar_width,color='blue',label=\"customer1\")\n",
    "plt.bar(month_b+bar_width,customer2,bar_width,color='red',label=\"customer2\")\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('elec consumption')\n",
    "plt.title(\"bar chart\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.xticks(month_b+(bar_width)/12,('jan','feb','march','april','may','june','july','august','september','october','november','december'))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x19c6e814fd0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6eb32610>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x19c6eb32b50>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6eb32b80>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x19c6e814e80>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x19c6eb324f0>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x19c6eb32f10>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 20,
     "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.boxplot(customer1,notch=True,vert=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x19c6fcef070>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6fd8df40>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x19c6fd8d100>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6fd8d520>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x19c6fcef850>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x19c6fd8dd90>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x19c6e6b0130>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 21,
     "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.boxplot(customer1,notch=False,vert=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x19c6e6d6130>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e6d6490>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x19c6e6d67f0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e6d6b50>],\n",
       " 'boxes': [<matplotlib.lines.Line2D at 0x19c6e7fcca0>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x19c6e6d6e50>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x19c6e70a1f0>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 22,
     "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.boxplot(customer1,notch=True,vert=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'whiskers': [<matplotlib.lines.Line2D at 0x19c6e6b80d0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e6b8550>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e88a2e0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e88a730>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0x19c6e88b820>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e70aa60>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6eb11fd0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6eb36b50>],\n",
       " 'boxes': [<matplotlib.patches.PathPatch at 0x19c6fd167f0>,\n",
       "  <matplotlib.patches.PathPatch at 0x19c6e86feb0>],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x19c6e6eafa0>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6eb36730>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x19c6e86f820>,\n",
       "  <matplotlib.lines.Line2D at 0x19c6e6dc2b0>],\n",
       " 'means': []}"
      ]
     },
     "execution_count": 28,
     "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.boxplot([customer1,customer2],patch_artist=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "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.boxplot([customer1,customer2],patch_artist=True,\n",
    "            boxprops=dict(facecolor=\"red\",color=\"red\"),\n",
    "            whiskerprops=dict(color='green'),\n",
    "            capprops=dict(color='blue'),\n",
    "            medianprops=dict(color='yellow'))\n",
    "plt.show()\n"
   ]
  },
  {
   "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",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}