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bollwyvl/gist.ipynb

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gist.ipynb
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"name": "",
"signature": "sha256:62d24ff79729886bcba524b529048f48f87be82c6c7e585ed2ec6be5a72cbd00"
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"input": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib\n",
"from scipy.stats import norm\n",
"import sys\n",
"import io\n",
"print('matplotlib version %s' % matplotlib.__version__)\n",
"import IPython\n",
"print('IPython version %s' % IPython.__version__)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"matplotlib version 1.4.2\n",
"IPython version 2.3.1\n"
]
}
],
"prompt_number": 10
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{
"cell_type": "code",
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"input": [
"class NormGraph(object):\n",
" def __init__(self):\n",
" super(NormGraph, self).__init__()\n",
" def _repr_svg_(self):\n",
" if sys.version_info[0] >= 3:\n",
" output = io.StringIO()\n",
" else:\n",
" output = io.BytesIO()\n",
" self._fig = plt.figure()\n",
" axes_kwargs = {}\n",
" plot_kwargs = {}\n",
" self._ax = [self._fig.add_subplot(111, **axes_kwargs)]\n",
" x = np.arange(-10, 10, 0.001)\n",
" y = norm.pdf(x,0,2)\n",
" self._ax[0].plot(x, y, **plot_kwargs)\n",
" self._fig.savefig(output, format='svg')\n",
" \n",
" return output.getvalue()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"plt.plot(0, 1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"[<matplotlib.lines.Line2D at 0x7fc28a3d1690>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "",
"text": [
"<matplotlib.figure.Figure at 0x7fc2b402a2d0>"
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"input": [
"plt.close('all')\n",
"NormGraph()"
],
"language": "python",
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