{"metadata": {"language_info": {"version": "3.6.3", "mimetype": "text/x-python", "name": "python", "pygments_lexer": "ipython3", "codemirror_mode": {"name": "ipython", "version": 3}, "nbconvert_exporter": "python", "file_extension": ".py"}, "kernelspec": {"name": "python3", "display_name": "Python 3", "language": "python"}}, "nbformat": 4, "cells": [{"metadata": {"_cell_guid": "0721d4f4-1275-471d-b647-9df562c8a571", "collapsed": true, "_uuid": "e26c9b9f00849d76e173ac1b71163ff326d810b0"}, "cell_type": "code", "outputs": [], "source": ["import numpy as np # linear algebra\n", "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n", "import seaborn\n", "import matplotlib.pyplot as plt"], "execution_count": 1}, {"metadata": {"_cell_guid": "bac0a489-e7b0-448b-932f-2dabff327d4e", "collapsed": true, "_uuid": "0a79ec4b5f2d2483fd5699b979df7378fff36b7c"}, "cell_type": "code", "outputs": [], "source": ["df = pd.read_csv('../input/labels.csv')\n", "freq = df['breed'].value_counts()"], "execution_count": 2}, {"metadata": {"_cell_guid": "2ff646ec-6f69-4c87-96c8-4ba884bdecf6", "_uuid": "0b2273790e04ff16ff19340e424906c24c8f01fd"}, "cell_type": "code", "outputs": [], "source": ["plt.figure()\n", "seaborn.barplot(x=freq.index, y=freq)\n", "plt.xticks(rotation=90)\n", "plt.title('Breed Distribution: Sorted')\n", "plt.show(block=False)"], "execution_count": 3}, {"metadata": {"_cell_guid": "1efeb58b-ded7-4079-a2e9-1d48bc079275", "_uuid": "e48508734bd415265e3600fe1fe4e3e0799d19a4"}, "cell_type": "code", "outputs": [], "source": ["plt.figure()\n", "freq_sorted = freq.sort_index()\n", "seaborn.barplot(x=freq_sorted.index, y=freq_sorted)\n", "plt.xticks(rotation=90)\n", "plt.title('Breed Distribution: Alphabetically')\n", "plt.show(block=False)"], "execution_count": 4}], "nbformat_minor": 1}