{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "df = pd.DataFrame(np.random.random((9, 5)),\n", " index=pd.MultiIndex.from_product([(1, 2, 3), (4, 5, 6)]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ambiguous indexing" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
\n", " | \n", " | 0 | \n", "1 | \n", "2 | \n", "3 | \n", "4 | \n", "
---|---|---|---|---|---|---|
1 | \n", "4 | \n", "0.040562 | \n", "0.956871 | \n", "0.277910 | \n", "0.414775 | \n", "0.991399 | \n", "
5 | \n", "0.241831 | \n", "0.870444 | \n", "0.735955 | \n", "0.363697 | \n", "0.546716 | \n", "|
6 | \n", "0.841413 | \n", "0.694261 | \n", "0.315920 | \n", "0.199795 | \n", "0.204977 | \n", "|
2 | \n", "4 | \n", "0.206391 | \n", "0.709051 | \n", "0.513527 | \n", "0.185654 | \n", "0.421419 | \n", "
5 | \n", "0.147146 | \n", "0.566263 | \n", "0.009528 | \n", "0.824750 | \n", "0.918497 | \n", "|
6 | \n", "0.335040 | \n", "0.161659 | \n", "0.148115 | \n", "0.039292 | \n", "0.480922 | \n", "|
3 | \n", "4 | \n", "0.529339 | \n", "0.242498 | \n", "0.431645 | \n", "0.321784 | \n", "0.342553 | \n", "
5 | \n", "0.801569 | \n", "0.240662 | \n", "0.802937 | \n", "0.278161 | \n", "0.415221 | \n", "|
6 | \n", "0.673873 | \n", "0.475225 | \n", "0.944538 | \n", "0.576891 | \n", "0.239283 | \n", "