index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python for ecologists - a demo notebook\n",
    "\n",
    "[Lesson: starting with data](http://www.datacarpentry.org/python-ecology-lesson/01-starting-with-data/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "surveys_df = pd.read_csv(\"surveys.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "species_counts = surveys_df.groupby('species_id')['record_id'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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duxp9d/LJSl36gLzsnwLvLKSvRboz6TRSBXkJ6eD4NXB6Ybr6vNOK26YwPJDO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\niYODmZmVODiYmVnJ/wf6QOUyCVHqawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2c3e97d0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make sure figures appear inline in Ipython Notebook\n",
    "%matplotlib inline\n",
    "# create a quick bar chart\n",
    "species_counts.plot(kind='bar');"
   ]
  },
  {
   "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}