{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"fixture\"\"\"\n",
      "import nose\n",
      "import os\n",
      "import string\n",
      "from distutils.version import LooseVersion\n",
      "\n",
      "from datetime import datetime, date, timedelta\n",
      "\n",
      "from pandas import Series, DataFrame, MultiIndex, PeriodIndex, date_range\n",
      "from pandas.compat import range, lrange, StringIO, lmap, lzip, u, zip\n",
      "import pandas.util.testing as tm\n",
      "from pandas.util.testing import ensure_clean\n",
      "from pandas.core.config import set_option\n",
      "\n",
      "import numpy as np\n",
      "from numpy import random\n",
      "from numpy.random import randn\n",
      "\n",
      "from numpy.testing import assert_array_equal\n",
      "from numpy.testing.decorators import slow\n",
      "import pandas.tools.plotting as plotting\n",
      "\n",
      "import matplotlib as mpl\n",
      "mpl_le_1_2_1 = str(mpl.__version__) <= LooseVersion('1.2.1')\n",
      "ts = tm.makeTimeSeries()\n",
      "ts.name = 'ts'\n",
      "\n",
      "series = tm.makeStringSeries()\n",
      "series.name = 'series'\n",
      "\n",
      "iseries = tm.makePeriodSeries()\n",
      "iseries.name = 'iseries'\n",
      "\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"test_plot_figsize_and_title\"\"\"\n",
      "ax = series.plot(title='Test', figsize=(16, 8))\n",
      "\n",
      "assert ax.title.get_text() == 'Test'\n",
      "assert_array_equal(np.round(ax.figure.get_size_inches()),\n",
      "                           np.array((16., 8.)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"test_bar_linewidth\"\"\"\n",
      "df = DataFrame(randn(5, 5))\n",
      "\n",
      "# regular\n",
      "ax = df.plot(kind='bar', linewidth=2)\n",
      "for r in ax.patches:\n",
      "    assert r.get_linewidth() == 2\n",
      "\n",
      "# stacked\n",
      "ax = df.plot(kind='bar', stacked=True, linewidth=2)\n",
      "for r in ax.patches:\n",
      "    assert r.get_linewidth() == 2\n",
      "\n",
      "# subplots\n",
      "axes = df.plot(kind='bar', linewidth=2, subplots=True)\n",
      "for ax in axes:\n",
      "    for r in ax.patches:\n",
      "        assert r.get_linewidth() == 2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"test_irregular_datetime\"\"\"\n",
      "rng = date_range('1/1/2000', '3/1/2000')\n",
      "rng = rng[[0, 1, 2, 3, 5, 9, 10, 11, 12]]\n",
      "ser = Series(randn(len(rng)), rng)\n",
      "ax = ser.plot()\n",
      "xp = datetime(1999, 1, 1).toordinal()\n",
      "ax.set_xlim('1/1/1999', '1/1/2001')\n",
      "assert xp == ax.get_xlim()[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\"\"\"failing test\"\"\"\n",
      "1/0\n",
      "a = 3"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}