{ "metadata": { "name": "random_forest" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "import numpy as np\n", "import pandas.rpy.common as com" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "iris = com.load_data('iris')\n", "iris.columns = map(lambda x: x.lower().replace('.', '_'), iris.columns)\n", "iris.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", " | sepal_length | \n", "sepal_width | \n", "petal_length | \n", "petal_width | \n", "species | \n", "
---|---|---|---|---|---|
1 | \n", "5.1 | \n", "3.5 | \n", "1.4 | \n", "0.2 | \n", "setosa | \n", "
2 | \n", "4.9 | \n", "3.0 | \n", "1.4 | \n", "0.2 | \n", "setosa | \n", "
3 | \n", "4.7 | \n", "3.2 | \n", "1.3 | \n", "0.2 | \n", "setosa | \n", "
4 | \n", "4.6 | \n", "3.1 | \n", "1.5 | \n", "0.2 | \n", "setosa | \n", "
5 | \n", "5.0 | \n", "3.6 | \n", "1.4 | \n", "0.2 | \n", "setosa | \n", "