hello_world.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Hello World!\n"
    }
   ],
   "source": [
    "print('Hello World!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('https://raw.githubusercontent.com/allisonhorst/palmerpenguins/master/inst/extdata/penguins_raw.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fa5e1d7f710>"
     },
     "metadata": {},
     "execution_count": 7
    },
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "data.plot.scatter(x = 'Flipper Length (mm)', y ='Body Mass (g)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "Species\nAdelie Penguin (Pygoscelis adeliae)          AxesSubplot(0.125,0.125;0.775x0.755)\nChinstrap penguin (Pygoscelis antarctica)    AxesSubplot(0.125,0.125;0.775x0.755)\nGentoo penguin (Pygoscelis papua)            AxesSubplot(0.125,0.125;0.775x0.755)\ndtype: object"
     },
     "metadata": {},
     "execution_count": 8
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "data.groupby(['Species']).plot.scatter(x = 'Flipper Length (mm)', y ='Body Mass (g)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "docker_image": "jupyter/scipy-notebook:latest",
  "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": "3.7.4"
  },
  "latex_envs": {
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   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "nteract": {
   "version": "0.23.1"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}