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ethanwhite/scipy_version_comparison_15_16_17.ipynb

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scipy_version_comparison_15_16_17.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"cbcdata15 = pd.read_csv(\"opttestscipy15/cbc_likelihoods.csv\")\n",
"cbcdata16 = pd.read_csv(\"opttestscipy16/cbc_likelihoods.csv\")\n",
"cbcdata17 = pd.read_csv(\"opttestscipy17/cbc_likelihoods.csv\")\n",
"cbcdata17b = pd.read_csv(\"opttestscipy17b/cbc_likelihoods.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
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"outputs": [
{
"data": {
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" <th></th>\n",
" <th>site</th>\n",
" <th>S</th>\n",
" <th>N</th>\n",
" <th>likelihood_logseries</th>\n",
" <th>likelihood_pln</th>\n",
" <th>likelihood_negbin</th>\n",
" <th>likelihood_zipf</th>\n",
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" <td>-262.599618</td>\n",
" <td>-264.710188</td>\n",
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" <td>-274.556152</td>\n",
" </tr>\n",
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" <td> 60</td>\n",
" <td> 17359</td>\n",
" <td>-328.224545</td>\n",
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" <td>-328.224533</td>\n",
" <td>-338.805827</td>\n",
" </tr>\n",
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" <th>3</th>\n",
" <td> L105355</td>\n",
" <td> 64</td>\n",
" <td> 12490</td>\n",
" <td>-367.702703</td>\n",
" <td>-364.746419</td>\n",
" <td>-365.366943</td>\n",
" <td>-387.606697</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> L105358</td>\n",
" <td> 59</td>\n",
" <td> 5622</td>\n",
" <td>-298.761115</td>\n",
" <td>-293.324891</td>\n",
" <td>-297.554643</td>\n",
" <td>-314.489174</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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],
"text/plain": [
" site S N likelihood_logseries likelihood_pln \\\n",
"0 L105249 57 7400 -315.187361 -315.811735 \n",
"1 L105252 57 3730 -262.599618 -264.710188 \n",
"2 L105254 60 17359 -328.224545 -324.407750 \n",
"3 L105355 64 12490 -367.702703 -364.746419 \n",
"4 L105358 59 5622 -298.761115 -293.324891 \n",
"\n",
" likelihood_negbin likelihood_zipf \n",
"0 -311.991052 -334.021427 \n",
"1 -262.482895 -274.556152 \n",
"2 -328.224533 -338.805827 \n",
"3 -365.366943 -387.606697 \n",
"4 -297.554643 -314.489174 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cbcdata15.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
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" <th></th>\n",
" <th>site</th>\n",
" <th>S</th>\n",
" <th>N</th>\n",
" <th>likelihood_logseries</th>\n",
" <th>likelihood_pln</th>\n",
" <th>likelihood_negbin</th>\n",
" <th>likelihood_zipf</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> L105249</td>\n",
" <td> 57</td>\n",
" <td> 7400</td>\n",
" <td>-315.187361</td>\n",
" <td>-315.811735</td>\n",
" <td>-315.185351</td>\n",
" <td>-334.021427</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> L105252</td>\n",
" <td> 57</td>\n",
" <td> 3730</td>\n",
" <td>-262.599618</td>\n",
" <td>-264.710188</td>\n",
" <td>-262.482895</td>\n",
" <td>-274.556152</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> L105254</td>\n",
" <td> 60</td>\n",
" <td> 17359</td>\n",
" <td>-328.224545</td>\n",
" <td>-324.407750</td>\n",
" <td>-328.225260</td>\n",
" <td>-338.805827</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> L105355</td>\n",
" <td> 64</td>\n",
" <td> 12490</td>\n",
" <td>-367.702703</td>\n",
" <td>-364.746419</td>\n",
" <td>-367.701879</td>\n",
" <td>-387.606697</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> L105358</td>\n",
" <td> 59</td>\n",
" <td> 5622</td>\n",
" <td>-298.761115</td>\n",
" <td>-293.324891</td>\n",
" <td>-298.761042</td>\n",
" <td>-314.489174</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" site S N likelihood_logseries likelihood_pln \\\n",
"0 L105249 57 7400 -315.187361 -315.811735 \n",
"1 L105252 57 3730 -262.599618 -264.710188 \n",
"2 L105254 60 17359 -328.224545 -324.407750 \n",
"3 L105355 64 12490 -367.702703 -364.746419 \n",
"4 L105358 59 5622 -298.761115 -293.324891 \n",
"\n",
" likelihood_negbin likelihood_zipf \n",
"0 -315.185351 -334.021427 \n",
"1 -262.482895 -274.556152 \n",
"2 -328.225260 -338.805827 \n",
"3 -367.701879 -387.606697 \n",
"4 -298.761042 -314.489174 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cbcdata16.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <th></th>\n",
" <th>site</th>\n",
" <th>S</th>\n",
" <th>N</th>\n",
" <th>likelihood_logseries</th>\n",
" <th>likelihood_pln</th>\n",
" <th>likelihood_negbin</th>\n",
" <th>likelihood_zipf</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
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" <td> L105249</td>\n",
" <td> 57</td>\n",
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" <td>-315.187361</td>\n",
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" <td>-315.185351</td>\n",
" <td>-334.021427</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> L105252</td>\n",
" <td> 57</td>\n",
" <td> 3730</td>\n",
" <td>-262.599618</td>\n",
" <td>-264.710188</td>\n",
" <td>-262.482895</td>\n",
" <td>-274.556152</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> L105254</td>\n",
" <td> 60</td>\n",
" <td> 17359</td>\n",
" <td>-328.224545</td>\n",
" <td>-324.407750</td>\n",
" <td>-328.225260</td>\n",
" <td>-338.805827</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> L105355</td>\n",
" <td> 64</td>\n",
" <td> 12490</td>\n",
" <td>-367.702703</td>\n",
" <td>-364.746419</td>\n",
" <td>-367.701879</td>\n",
" <td>-387.606697</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> L105358</td>\n",
" <td> 59</td>\n",
" <td> 5622</td>\n",
" <td>-298.761115</td>\n",
" <td>-293.324891</td>\n",
" <td>-298.761042</td>\n",
" <td>-314.489174</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" site S N likelihood_logseries likelihood_pln \\\n",
"0 L105249 57 7400 -315.187361 -315.811735 \n",
"1 L105252 57 3730 -262.599618 -264.710188 \n",
"2 L105254 60 17359 -328.224545 -324.407750 \n",
"3 L105355 64 12490 -367.702703 -364.746419 \n",
"4 L105358 59 5622 -298.761115 -293.324891 \n",
"\n",
" likelihood_negbin likelihood_zipf \n",
"0 -315.185351 -334.021427 \n",
"1 -262.482895 -274.556152 \n",
"2 -328.225260 -338.805827 \n",
"3 -367.701879 -387.606697 \n",
"4 -298.761042 -314.489174 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cbcdata17.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>site</th>\n",
" <th>S</th>\n",
" <th>N</th>\n",
" <th>likelihood_logseries</th>\n",
" <th>likelihood_pln</th>\n",
" <th>likelihood_negbin</th>\n",
" <th>likelihood_zipf</th>\n",
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" <td> L105249</td>\n",
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" <td>-264.710188</td>\n",
" <td>-262.482895</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> L105254</td>\n",
" <td> 60</td>\n",
" <td> 17359</td>\n",
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" <th>3</th>\n",
" <td> L105355</td>\n",
" <td> 64</td>\n",
" <td> 12490</td>\n",
" <td>-367.702703</td>\n",
" <td>-364.746419</td>\n",
" <td>-367.701879</td>\n",
" <td>-387.606697</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td> L105358</td>\n",
" <td> 59</td>\n",
" <td> 5622</td>\n",
" <td>-298.761115</td>\n",
" <td>-293.324891</td>\n",
" <td>-298.761042</td>\n",
" <td>-314.489174</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" site S N likelihood_logseries likelihood_pln \\\n",
"0 L105249 57 7400 -315.187361 -315.811735 \n",
"1 L105252 57 3730 -262.599618 -264.710188 \n",
"2 L105254 60 17359 -328.224545 -324.407750 \n",
"3 L105355 64 12490 -367.702703 -364.746419 \n",
"4 L105358 59 5622 -298.761115 -293.324891 \n",
"\n",
" likelihood_negbin likelihood_zipf \n",
"0 -315.185351 -334.021427 \n",
"1 -262.482895 -274.556152 \n",
"2 -328.225260 -338.805827 \n",
"3 -367.701879 -387.606697 \n",
"4 -298.761042 -314.489174 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cbcdata17b.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'CBC Likelihood Difference. Min: -5.52335648243, Max: 104.347664841'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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58wWjXP9szqPekTyW5RgzB/mI6G/MNz/JHfRO79/e1z3zBbPVXd+oOa8X4UZJkpfSC4CH\nqmp/1z2d5IqqOp3kSuCZ4VU4r18FbkryTuBlwC8keYjxqf8UcKqqvtJNf5LeNd3TY1L/jcCTVfVf\nAEkeBn6F8an/rLl+XsZi3FmuMXMkLgcl2UTv1H5zVT3bN+sAcGuSS5KsBdbRe8ls1HwVWJfkmiSX\n0Lsxc2DINc0pSYD7gaNV9ZG+WQeALV17C7B/5rqjoKo+WFVrqmotvRuS/1JVtzM+9Z8Gnk5ybdd1\nI/Bt4DOMQf3Ad4E3J7m0+1m6kd4N+nGp/6y5fl5GftxZ1jGzqob+AY7T+8F6rPvs7pv3QXo3N44B\nvznsWuc5hnfQeyP6BLB92PUsUOuv0buW/vW+/+ebgMuBz9N72uAgsHLYtZ7HsbwVONC1x6Z+4PXA\nV4BvAA8Drxqz+nfQe6DgCL2bqi8d5fqBvfTuXzxH7/7dH8xX7yiNO7PU/p7lHDN9WUySGjYSl4Mk\nScNhCEhSwwwBSWqYISBJDTMEJKlhhoAkNcwQkKSGGQKS1LD/B1uSA7X31NmkAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f88b8957c50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cbcdiff = cbcdata15[\"likelihood_negbin\"] - cbcdata16[\"likelihood_negbin\"]\n",
"cbcdiff = cbcdiff.replace([np.inf, -np.inf], np.nan)\n",
"cbcdiff = cbcdiff.dropna()\n",
"histogram = plt.hist(cbcdiff)\n",
"\"CBC Likelihood Difference. Min: {}, Max: {}\".format(min(cbcdiff), max(cbcdiff))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'CBC Likelihood Difference. Min: 0.0, Max: 0.0'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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DLh24fSn9599CYy7p+laCUeZHd+H3U8CWqvr2hGobh1Hmtwn4XP/czwXAO5KcrKp9kylx\nSUaZ3/PAN6vqe8D3kvwj8AZg3gCY9hLQPmBr194K/MDJoaqOA88nubzrejv9ixwrwSjz+92qurSq\n1gM3Al9aLif/EQydX/cu607gUFXdNsHaFuNRYEOSy5KcA9xAf46D9gHvhZd/3f7fA8tgy93Q+SX5\nceCvgPdU1ZEp1LgUQ+dXVT9RVeu719u9wK+tkJM/jPb8/Bvgrd23Cs+l/0WFQ6c84pSvap8PfAF4\nFngIWNv1XwT83cC4NwBfA56g/+RcKd8CGml+A+OvZmV9C2jo/IC30r+28TjwWPe3Zdq1LzCnd9D/\nptIRYGfXdwtwy8CYT3bbnwDeNO2axzk/+l9E+K+Bx+rAtGse9+M3MPYu4F3Trnnc8wN+i/6b5IPA\nhxc6nj8Ek6RGTXsJSJI0JQaAJDXKAJCkRhkAktQoA0CSGmUASFKjDABJapQBIEmN+j8QuFNYW2JW\nIwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f88b8851e90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cbcdiff = cbcdata16[\"likelihood_negbin\"] - cbcdata17[\"likelihood_negbin\"]\n",
"cbcdiff = cbcdiff.replace(np.inf, np.nan)\n",
"cbcdiff = cbcdiff.dropna()\n",
"histogram = plt.hist(cbcdiff)\n",
"\"CBC Likelihood Difference. Min: {}, Max: {}\".format(min(cbcdiff), max(cbcdiff))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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