Heatmap_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['axes.labelsize'] = 14\n",
    "plt.rcParams['xtick.labelsize'] = 12\n",
    "plt.rcParams['ytick.labelsize'] = 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('data/hessi.solar.flare.2002to2016.csv', sep=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KKAkAAAAA1EooCQAAAADUSigJAAAAANRKKAkAAAAA1EooCQAAAADU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\nkmRSkjVVVVVDVhkAAAAAUJcGMtFNkqQ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/KFK7+V//OhD2ZzW1ve9fcfy/JVq/LJD35goEoHBpmGkY3ZuHJNkl1fH23/+fbgV700i3752yTJ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\nQ5mUlCRJkiRJktRQ/x+FojuaWBZ2MQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22ab040f550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap(df,figsize=(25,25),annot_size = 8,cmap=sns.cubehelix_palette(start = 0.2,rot = 0.3,dark = 0.15,light = 0.85,as_cmap = True)):\n",
    "    corr = df.corr()\n",
    "    _,ax = plt.subplots(1,1,figsize=figsize)\n",
    "    sns.heatmap(corr,\n",
    "               cbar=True,\n",
    "               cbar_kws={'shrink':0.9},\n",
    "               annot=True,\n",
    "               annot_kws={'fontsize':annot_size},\n",
    "               cmap = cmap\n",
    "               )\n",
    "    plt.show()  \n",
    "   \n",
    "heatmap(df)"
   ]
  },
  {
   "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": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}