Created
June 2, 2014 15:54
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rcparams issues in seaborn
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:b090b89948b1fae877bb5819fefefe0d873b0b6342898545319f25c5a290e605" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# matplotlib rc stuff\n", | |
"last update 2014-06-02\n", | |
"<hr style=\"width:100%; color:#20435C; background-color:#20435C; height:5px;noshade:noshade;\" /> " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import matplotlib.pyplot as plt\n", | |
"import matplotlib\n", | |
"\n", | |
"%matplotlib inline" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plt.plot(range(5))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 2, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x30fc050>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x3033810>" | |
] | |
} | |
], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"matplotlib.rcParams['grid.color'] = 'r'\n", | |
"matplotlib.rcParams['grid.linewidth'] = 3\n", | |
"plt.plot(range(5))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 3, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x31e9550>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x30fca50>" | |
] | |
} | |
], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# seaborn from v0.3.1\n", | |
"import seaborn" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plt.plot(range(5))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 5, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x4abb690>]" | |
] | |
}, | |
{ | |
"output_type": "stream", | |
"stream": "stderr", | |
"text": [ | |
"/home/deheeger/Python/anaconda/envs/actarus/lib/python2.7/site-packages/matplotlib/font_manager.py:1236: UserWarning: findfont: Font family ['Arial'] not found. Falling back to Bitstream Vera Sans\n", | |
" (prop.get_family(), self.defaultFamily[fontext]))\n" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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20Adc/Z/O5Nr/fBazZpazvKRs+1fL9fWehoI6ImYBDwL3ZeZ3xhgyBCwadX2getu4duzY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\nsa2KvHcTKsO+RcQ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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x4a81990>" | |
] | |
} | |
], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"matplotlib.rcParams['grid.color'] = 'r'\n", | |
"matplotlib.rcParams['grid.linewidth'] = 3\n", | |
"\n", | |
"plt.plot(range(5))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 6, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0x4d8d350>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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ybGBDRPw2Ig4C9wMf7zNmIXAPQESsBiamlEpes/75tHP42yWreWb9VmZ0TuDr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\nMwAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4b7ce50>" | |
] | |
} | |
], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"seaborn.__version__" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 7, | |
"text": [ | |
"'0.3.1'" | |
] | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"seaborn.reset_defaults()\n", | |
"plt.plot(range(5))\n", | |
"plt.grid()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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fUElJSW6X4DvKzI5yM6fM7MRqbqWlMHEiHDvmLD81aVLL3xurmbWWcvMOTaYS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\ndtk33AVy7MnJySQnJzf895133smgQYOYOXMmb731FrNmzQp6veHOy2M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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x4da0990>" | |
] | |
} | |
], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"matplotlib.rcParams['grid.color'] = 'r'\n", | |
"matplotlib.rcParams['grid.linewidth'] = 3\n", | |
"\n", | |
"plt.plot(range(5))\n", | |
"plt.grid()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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Z2aPcrAtDZhUV8Mwz8MILMGIErFkD8fEh+/jI0LlmXV2ZhZg7Bqpr1mh5iIbo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\nInJLHKgSERERkVv6/woSC6JBh7M4AAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x4d962d0>" | |
] | |
} | |
], | |
"prompt_number": 9 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 9 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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