Created
November 29, 2017 12:38
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{ | |
"cells": [ | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "%matplotlib inline\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nsns.set_context('notebook')\nsns.set_style('whitegrid')", | |
"execution_count": 1, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "import numpy as np\nimport pandas as pd", | |
"execution_count": 2, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": false | |
}, | |
"cell_type": "code", | |
"source": "fig, ax = plt.subplots()\ndf = pd.read_csv('z_samples.csv')\n_ = ax.hist(df.z.values, bins=np.arange(0., 1.4, 0.025), histtype='step',\n lw=2, alpha=1, color='k')\nax.set_xlabel('z')\nax.set_ylabel('Num SN selected for Cosmology')", | |
"execution_count": 4, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": "<matplotlib.text.Text at 0x1095de5d0>" | |
}, | |
"metadata": {}, | |
"execution_count": 4 | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"image/png": 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wcLDKlStXhOS4laysLCUlJal69ery8fFxdJwSiTk2l6+vr/VxtWrVCn2vwp3j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\nJWn58uUWJ3I+ml8AAIAYdenSJa1YscLQ3JEjR9L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| |
"text/plain": "<matplotlib.figure.Figure at 0x108ce9190>" | |
}, | |
"metadata": {} | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true, | |
"collapsed": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"name": "python2", | |
"display_name": "Python [default]", | |
"language": "python" | |
}, | |
"language_info": { | |
"mimetype": "text/x-python", | |
"nbconvert_exporter": "python", | |
"name": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.12", | |
"file_extension": ".py", | |
"codemirror_mode": { | |
"version": 2, | |
"name": "ipython" | |
} | |
}, | |
"anaconda-cloud": {} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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