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.gitignore
ipython/
nbconvert/
pandas/
scipy-sphinx-theme-master
scipy.org-new
spyder-2.1.11/
spyderlib/
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README.md

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bug_pandas-boxplot-set-ylim.ipynb
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print \"numpy: \", np.__version__\n",
"print \"pandas: \", pd.__version__\n",
"print \"matplotlib: \", matplotlib.__version__"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"numpy: 1.7.1\n",
"pandas: 0.12.0-213-gdc3ead3\n",
"matplotlib: 1.2.1\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = pd.DataFrame({'A':[1,3,2,5,4,7,6], 'B':[1,1,1,1,2,2,2]})"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots()\n",
"df['A'].plot(ax=ax)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"<matplotlib.axes.AxesSubplot at 0x89ebe10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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AvfvSS0p/SHjq1CnceuuteO6553oPYOsfEra0AN//PvDHPwLPPgvk5vb8/Te+ofpk+nn5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\nC5qISFP/A2qNvQDDf0opAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x89eb9e8>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Try to change the y limits => it works"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ax.set_ylim(0,20)\n",
"fig"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"prompt_number": 5,
"text": [
"<matplotlib.figure.Figure at 0x89eb9e8>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots()\n",
"df.boxplot('A', 'B', ax=ax)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"<matplotlib.axes.AxesSubplot at 0x8bebc18>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x8a03fd0>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now the same with a boxplot => it does not work"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ax.set_ylim(0,20)\n",
"fig"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"text": [
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}
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