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@rbiswas4
Created March 6, 2018 20:43
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{
"cells": [
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "import pandas as pd",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "%matplotlib inline",
"execution_count": 9,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "!ls",
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": "\u001b[31mSYS_SCALE_Y10_SYS_IaONLY_HST_SCALE_0.00.txt_sysScatter.txt\u001b[m\u001b[m\r\nUntitled.ipynb\r\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "df = pd.read_csv('SYS_SCALE_Y10_SYS_IaONLY_HST_SCALE_0.00.txt_sysScatter.txt', delim_whitespace=True)",
"execution_count": 58,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 59,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>omegam</th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>0.315581</td>\n <td>0.672851</td>\n <td>-0.998576</td>\n <td>-0.000876</td>\n <td>-19.429752</td>\n <td>-176.996944</td>\n </tr>\n <tr>\n <th>1</th>\n <td>0.315706</td>\n <td>0.672609</td>\n <td>-0.999524</td>\n <td>0.001975</td>\n <td>-19.430313</td>\n <td>-156.198080</td>\n </tr>\n <tr>\n <th>2</th>\n <td>0.315502</td>\n <td>0.672771</td>\n <td>-1.003914</td>\n <td>-0.000895</td>\n <td>-19.430080</td>\n <td>-101.925356</td>\n </tr>\n <tr>\n <th>3</th>\n <td>0.315311</td>\n <td>0.672845</td>\n <td>-1.000489</td>\n <td>-0.004831</td>\n <td>-19.428990</td>\n <td>-92.639634</td>\n </tr>\n <tr>\n <th>4</th>\n <td>0.315923</td>\n <td>0.672679</td>\n <td>-1.001743</td>\n <td>-0.004003</td>\n <td>-19.430807</td>\n <td>-163.644762</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " omegam h0 w wa m LogLike\n0 0.315581 0.672851 -0.998576 -0.000876 -19.429752 -176.996944\n1 0.315706 0.672609 -0.999524 0.001975 -19.430313 -156.198080\n2 0.315502 0.672771 -1.003914 -0.000895 -19.430080 -101.925356\n3 0.315311 0.672845 -1.000489 -0.004831 -19.428990 -92.639634\n4 0.315923 0.672679 -1.001743 -0.004003 -19.430807 -163.644762"
},
"metadata": {},
"execution_count": 59
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "fig",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.omegam.values",
"execution_count": 57,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "array(['0.31558140808011', '0.3157060953949572', '0.31550185488411514',\n ..., '0.31942853873240296', '0.2760153599765717',\n '#mean_acceptance_fraction=0.256734375'], dtype=object)"
},
"metadata": {},
"execution_count": 57
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.describe()",
"execution_count": 60,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>omegam</th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>0.292810</td>\n <td>0.668691</td>\n <td>-0.968646</td>\n <td>0.158687</td>\n <td>-19.440759</td>\n <td>-32.889188</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.026427</td>\n <td>0.032722</td>\n <td>0.024853</td>\n <td>0.235912</td>\n <td>0.106314</td>\n <td>8.074543</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.176005</td>\n <td>0.600025</td>\n <td>-1.039645</td>\n <td>-0.696508</td>\n <td>-19.675358</td>\n <td>-376.111321</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.274787</td>\n <td>0.643433</td>\n <td>-0.987242</td>\n <td>-0.006980</td>\n <td>-19.521646</td>\n <td>-33.024221</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.296756</td>\n <td>0.669829</td>\n <td>-0.972507</td>\n <td>0.159408</td>\n <td>-19.434529</td>\n <td>-32.030694</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.313249</td>\n <td>0.692519</td>\n <td>-0.952751</td>\n <td>0.340747</td>\n <td>-19.362135</td>\n <td>-31.339480</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.357024</td>\n <td>0.759541</td>\n <td>-0.853597</td>\n <td>0.757280</td>\n <td>-19.161797</td>\n <td>-30.323145</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " omegam h0 w wa \\\ncount 128000.000000 128000.000000 128000.000000 128000.000000 \nmean 0.292810 0.668691 -0.968646 0.158687 \nstd 0.026427 0.032722 0.024853 0.235912 \nmin 0.176005 0.600025 -1.039645 -0.696508 \n25% 0.274787 0.643433 -0.987242 -0.006980 \n50% 0.296756 0.669829 -0.972507 0.159408 \n75% 0.313249 0.692519 -0.952751 0.340747 \nmax 0.357024 0.759541 -0.853597 0.757280 \n\n m LogLike \ncount 128000.000000 128000.000000 \nmean -19.440759 -32.889188 \nstd 0.106314 8.074543 \nmin -19.675358 -376.111321 \n25% -19.521646 -33.024221 \n50% -19.434529 -32.030694 \n75% -19.362135 -31.339480 \nmax -19.161797 -30.323145 "
},
"metadata": {},
"execution_count": 60
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.describe()",
"execution_count": 50,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>0.668691</td>\n <td>-0.968646</td>\n <td>0.158687</td>\n <td>-19.440759</td>\n <td>-32.889188</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.032722</td>\n <td>0.024853</td>\n <td>0.235912</td>\n <td>0.106314</td>\n <td>8.074543</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.600025</td>\n <td>-1.039645</td>\n <td>-0.696508</td>\n <td>-19.675358</td>\n <td>-376.111321</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.643433</td>\n <td>-0.987242</td>\n <td>-0.006980</td>\n <td>-19.521646</td>\n <td>-33.024221</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.669829</td>\n <td>-0.972507</td>\n <td>0.159408</td>\n <td>-19.434529</td>\n <td>-32.030694</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.692519</td>\n <td>-0.952751</td>\n <td>0.340747</td>\n <td>-19.362135</td>\n <td>-31.339480</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.759541</td>\n <td>-0.853597</td>\n <td>0.757280</td>\n <td>-19.161797</td>\n <td>-30.323145</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " h0 w wa m \\\ncount 128000.000000 128000.000000 128000.000000 128000.000000 \nmean 0.668691 -0.968646 0.158687 -19.440759 \nstd 0.032722 0.024853 0.235912 0.106314 \nmin 0.600025 -1.039645 -0.696508 -19.675358 \n25% 0.643433 -0.987242 -0.006980 -19.521646 \n50% 0.669829 -0.972507 0.159408 -19.434529 \n75% 0.692519 -0.952751 0.340747 -19.362135 \nmax 0.759541 -0.853597 0.757280 -19.161797 \n\n LogLike \ncount 128000.000000 \nmean -32.889188 \nstd 8.074543 \nmin -376.111321 \n25% -33.024221 \n50% -32.030694 \n75% -31.339480 \nmax -30.323145 "
},
"metadata": {},
"execution_count": 50
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.query('wa > -0.05 and wa < 0.05').plot(x='omegam', y='w', kind='scatter')",
"execution_count": 71,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x10e026a90>"
},
"metadata": {},
"execution_count": 71
},
{
"output_type": "display_data",
"data": {
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4Pf30gqweNTU1zJ8/XyOyFKWNoyJHUZqRbt268cwz1dTUvMLDDz/Mww8/TNeu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\nCfNBCwAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x10afd4fd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.query('wa > 0.5').plot(x='w', y='m', kind='scatter')",
"execution_count": 72,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x10f4f2550>"
},
"metadata": {},
"execution_count": 72
},
{
"output_type": "display_data",
"data": {
"image/png": 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O91nGV9XWlwbvVYkL87xt1c+h9bOZrrKaAPaZJ/VcPtUkRI6yWTMqLEv2kPgs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"text/plain": "<matplotlib.figure.Figure at 0x10d489dd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.m.hist()",
"execution_count": 73,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x10c488ad0>"
},
"metadata": {},
"execution_count": 73
},
{
"output_type": "display_data",
"data": {
"image/png": 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XUKSpqam2S1ADjZuViLhvRDw6Ih5TL3pk/f1D6+9fBvx+RDwjIn4ceC3wOap9\njKSUjlIdCPtXEfG4iPhpqn2d06k6EwiqU5K/Bfx1RPxoRGwGns/xB9S+HHhqRFweEedGxBTVtV/8\nwIexG8cZRWcaM8tjbs2ZWY71682tJDkH2P4E8PdUu4MSdzcQrwEuTintjYhVVNdNeQDw/wFPTXdf\nYwWqa6LsozoL6C7gjVSnIgOQqjOILqjHfJD6DdmU0oG+Me+LiC3AS+rb/wIuSmf4NVYkSVppcq6z\n8m6G7JFJKU1xmn2TKaWvUV8A7jRjPgo8eciYN3Hyow0lSdIK4QcZagSDZ0VoODPLY27NmVmOwbNy\n1G02KxrB8l0dc+Uwszzm1pyZ5VjOq/7qnrNZ0Qj2t11Agcwsj7k1Z2Y59u83t5LYrEiSpE6zWZEk\nSZ1msyJJkjrNZkUjONlnp+j0zCyPuTVnZjlO9tk96i6bFY3g0rYLKJCZ5TG35swsx6WXmltJbFY0\ngk1tF1AgM8tjbs2ZWY5Nm8ytJDYrkiSp02xWJElSp9msaAQH2y6gQGaWx9yaM7McBw+aW0lsVjSC\n6bYLKJCZ5TG35swsx/S0uZXEZkUjuL7tAgpkZnnMrTkzy3H99eZWEpsVSZLUaTYrkiSp02xWJElS\np9msaATb2i6gQGaWx9yaM7Mc27aZW0lsVjQCr/TYnJnlMbfmzCyHV7Ati82KRrCl7QIKZGZ5zK05\nM8uxZYu5lcRmRZIkdZrNiiRJ6jSbFY3gSNsFFMjM8phbc2aW48gRcyuJzYpGsLftAgpkZnnMrTkz\ny7F3r7mVxGZFI7iu7QIKZGZ5zK05M8tx3XXmVhKbFY1gVdsFFMjM8phbc2aWY9UqcyuJzYokSeo0\nmxVJktRpNisawc62CyiQmeUxt+bMLMfOneZWEpsVjWBt2wUUyMzymFtzZpZj7VpzK4nNikZwWdsF\nFMjM8phbc2aW47LLzK0kNiuSJKnTbFYkSVKn2axoBEfbLqBAZpbH3JozsxxHj5pbSWxWNIJdbRdQ\nIDPLY27NmVmOXbvMrSQ2KxrBvrYLKJCZ5TG35swsx7595lYSmxWNwFP8mjOzPObWnJnl8NTlstis\nSJKkTrNZkSRJnWazohHsabuAAplZHnNrzsxy7NljbiWxWdEIFtsuoEBmlsfcmjOzHIuL5lYSmxWN\n4Iq2CyiQmeUxt+bMLMcVV5hbSWxWJElSp9msSJKkTrNZ0QgW2i6gQGaWx9yaM7McCwvmVhKbFY3g\n4rYLKJDjaJrbAAAQLklEQVSZ5TG35swsx8UXm1tJbFY0gqm2CyjQVNsFFGqq7QIKNNV2AUWamppq\nuwQ1YLOiEaxvu4ACmVkec2vOzHKsX29uJTm77QJKlFLiZS97GZ/85CfbLuWkbrvttrZLkCRpbGxW\nMszNzXH55Zdz9tk/TMR92y7nBHfeeUvbJUiSNDY2KxlSSgB85zuvATa2W8xJvRjYPcb1HQAuGeP6\nzgRmlsfcmjOzHAcOHOCSS8ytFGM/ZiUidkfEXQO3j/fdf5+I2B8RCxHxbxHxxoj4/oF1PDQi3hoR\nd0TELRGxNyLOGhjzlIiYiYhjEfGJiHjuuOeiJbNtF1AgM8tjbs2ZWY7ZWXMryaQOsP0Y8GBgTX37\nmb77XgY8DfgV4EnADwBvWrqzbkreRrXX5wnAc4HnUe0uWBrzcOAtwI3Ao4GXA9dExC9MZjpnuv1t\nF1AgM8tjbs2ZWY79+82tJJN6G+g7KaUTjvKMiPtRXRTg11JK766XbQPmIuInU0ofAC4AfgT42ZTS\nAvDRiHgR8McRMZVS+g7w28CnUkq76lXfFBE/A+wA3jmhOUmSpBZMqln54Yj4PHAMeB/weymlzwIb\n6ue8cWlgSummiJinOvjjA1R7Uz5aNypLDgF/DvwY8JF6zA0Dz3kIuGoy05EkLZmbm2u7hFNavXo1\na9eubbsMjdkkmpX3U71tcxPwEKorFr0nIv4z1VtC30op3T7wmFvr+6i/3nqS+5fu+8hpxtwvIu6T\nUvrmPZ+GJOl4XwTOYuvWrW0XckrnnLOKm26as2FZYcZ+zEpK6VBK6U0ppY+llN4JXAg8EPg/T/Ow\nANIoqx+yjmFjuPDCC+n1esfdNm7cyMGDB48bd/jwYXq93gmP3759O29605sGls4CPU78jI7dwJ6B\nZfP12KMDy68Gdg4sW6zHHhlYPg1sO6E22AwcHFh2uF7HoO1UZxH0O9U8zmUy83gHyzuPJj8PqA6v\n6tfk59FjcvMYfP1Bt15X7xpY1uTn8fNMdh4fHFi23K+rSfw8eizfPL4G3AU8B/h1YKbvdoTqMMRr\nBpa/BHjGwLIZ4BeAPx1Ytq9ex+DYXwVeNLDs2nrsDcctO3ZskT/90z89fhbz8/R6PY4evfvn0ev1\nuPrqq9m58/ifx+LiIr1ejyNHjv95TE9Ps23biT+PzZs3N/r7ceDA8T+P2dlZer3eCZ9VtHv3bvbs\nOf7ncbJ5AGOfx/T09L//bVyzZg29Xo8dO3ac8JhllVKa+I3q7Z2XAD8L3Ancb+D+zwAvqP99BTA7\ncP/DqbaQ8+rv3w1cOTDmecBXT1PDeiDNzMyke+pjH/tYAhK8N0Hq4O2Kur6ZMa3v0Jjru3bM9Y37\nNo76xp3ZmZLfJHNbqdlNOrOS8ptJo/6eP3To0D3+W3AmmZmZqX/2rE9p8n3D4G3il9uPiO8Gfgj4\nAlXr+x3g/L77HwWsBd5bL3of8OMRsbpvNZuArwNzfWPO53ib6uUau01tF1AgM8tjbs2ZWY5Nm8yt\nJJO4zsqfRMSTIuJhEfFTwN9SNSjXpepYlQPAlfV1UjYArwL+IaX0T/UqDgMfB14XEedFxAXAHwD7\nUkrfrse8EvihiNgTEedGxO8AzwSuHPd8JElSuyZxgO0PAq8Hvhe4jeqNzCeklL5c37+D6q2gNwL3\noTpwYfvSg1NKd0XE06nO/nkvcAfwavouyZpS+kxEPI2qOXk+8DngkpTS4BlCkiSpcGNvVlJKW4bc\n/03gsvp2qjGfBZ4+ZD3vpjoVWhN3EPiltosojJnlMbfmzCzHwYMH+aVfMrdSTPyYFa0E020XUCAz\ny2NuzZlZjulpcyuJzYpGcH3bBRTIzPKYW3NmluP6682tJDYrkiSp02xWJElSp9msSJKkTrNZ0QhO\ndslvnZ6Z5TG35swsx8kuOa/uslnRCLzSY3NmlsfcmjOzHF7Btiw2KxrBaS+do5Myszzm1pyZ5diy\nxdxKYrMiSZI6zWZFkiR1ms2KRnCk7QIKZGZ5zK05M8tx5Ii5lcRmRSPY23YBBTKzPObWnJnl2LvX\n3Epis6IRXNd2AQUyszzm1pyZ5bjuOnMric2KRrCq7QIKZGZ5zK05M8uxapW5lcRmRZIkdZrNiiRJ\n6jSbFY1gZ9sFFMjM8phbc2aWY+dOcyuJzYpGsLbtAgpkZnnMrTkzy7F2rbmVxGZFI7is7QIKZGZ5\nzK05M8tx2WXmVhKbFUmS1Gk2K5IkqdNsVjSCo20XUCAzy2NuzZlZjqNHza0kNisawa62CyiQmeUx\nt+bMLMeuXeZWEpsVjWBf2wUUyMzymFtzZpZj3z5zK4nNikbgKX7NmVkec2vOzHJ46nJZbFYkSVKn\n2axIkqROs1nRCPa0XUCBzCyPuTVnZjn27DG3ktisaASLbRdQIDPLY27NmVmOxUVzK4nNikZwRdsF\nFMjM8phbc2aW44orzK0kNiuSJKnTbFYkSVKn2axoBAttF1AgM8tjbs2ZWY6FBXMric2KRnBx2wUU\nyMzymFtzZpbj4ovNrSQ2KxrBVNsFFGiq7QIKNdV2AQWaaruAIk1NTbVdghqwWdEI1rddQIHMLI+5\nNWdmOdavN7eS2KxIkqROs1mRJEmdZrOiERxou4ACmVkec2vOzHIcOGBuJbFZ0Qhm2y6gQGaWx9ya\nM7Mcs7PmVhKbFY1gf9sFFMjM8phbc2aWY/9+cyuJzYokSeq0s9suQJKkcZqbm2u7hFNavXo1a9eu\nbbuM4tisSJJWiC8CZ7F169a2Czmlc85ZxU03zdmwNGSzohH0gDe3XURhzCyPuTVnZnf7GnAXcC2w\nbsjYHcBVE6/oeHMcO7aVhYUFm5WGbFY0gkvbLqBAZpbH3JozsxOtY/iVff+vEcaoKzzAViPY1HYB\nBTKzPObWnJnlMbeS2KxIkqROs1mRJEmdZrOiERxsu4ACmVkec2vOzPKYW0lsVjSCPW0XUCAzy2Nu\nzZlZHnMrSfHNSkRsj4hPR8Q3IuL9EfG4tmtaeb6v7QIKZGZ5zK05M8tjbiUpulmJiM3AS4HdwGOB\njwCHImJ1q4VJkqSxKbpZobqqz1+klF6bUjoK/BawCFzcblmSJGlcim1WIuLewAbgxqVlKaUE3ABs\nbKsuSZI0XiVfwXY1cC/g1oHltwLnnmT8OTCeD7j65Cc/Wf/r74CP3uP1jd8H669vA8bxgV7/APzN\nGNbTvz4YX33jNo76xp3Z4LphZeY3ydyW1g8rK7tJZzb4XLAy8lvO3JZ8Guj2By2eSl/N57Tx/FHt\njChPRDwE+DywMaX0j33L9wI/k1L6qYHxz2L5X5mSJK0kz04pvX65n7TkPSsLwJ3AgweWfz8n7m0B\nOAQ8G/gMcGyilUmStLKcAzyc6m/psit2zwpARLwf+MeU0gvq7wOYB/4spfQnrRYnSZLGouQ9KwBX\nAq+JiBngA1RnB60CXt1mUZIkaXyKblZSSm+or6nyYqq3gz4MXJBSuq3dyiRJ0rgU/TaQJEla+Yq9\nzookSToz2KxIkqROW1HNSkT894j4h4i4IyK+coox59djbo+Iz0fEH0fEKXOIiIdFxF0RcWf9tf/2\nK5ObzfKYRGZ9j9sYETdGxP+OiK9HxLsi4j7jn8Xym1RudUb9r7E7I+IVk5nF8prka63v8W+vc+uN\nr/J2TfC19sqI+NeIWIyIL0XEwYg42QU1izOhvwUPjIg/i4ij9XpvjoiXR8T9JjeT5TXB19p/jYi/\nr/8O3JWT2YpqVoB7A28A/vxkd0bEecBbqS5v+Bjg14Ae8MenWec8sAZ4SP11DdUHJ/5v4O3jKrxF\nk8iMiNhIlc87gJ+ob/uAu8ZVeMsmkhuQgL+kOmB86XW3azwlt25SmS09fgfVtZdW2oF4k8rtg8Dz\ngB8BNgFB9UGwMZaq2zWJzH6Aanu8HPjPwHOBXwSuGVvV7ZvUa+27qP4evITc7TOltOJuVC+ir5xk\n+UuorsvSv+zpwB3AfRusfxb4y7bn2eXMgPcBU23Pq8Dc/h64su15lZRZPe7RwM1UF4W8C+i1Pc8S\ncht4zI9TNXuPaHuuBWX2TOAbwFltz7WE3IAn16+x+zWtaaXtWRnmPpx49dpjVFfm2zDKCiJiA1VH\neWC8pXVW48wi4vuAxwML9e7CW+q3N356sqV2yj15rT07Im6LiI9GxB9GxHdNpMLuycqszuf1wPaU\n0pcmV15njeP32n2pPq3+U8Bnx1pdN93jzGoPAG5PKa2UPcbDjCu3xs60ZuUQ8FMR8WsRcVZE/Efg\nRfV9DxlxHZcAH099n0e0wuVk9sj6627gL4ALqPZG3RgRPzTRarsj97X2N8BW4CnAHwK/DrxukoV2\nSG5mVwFHUkpvmXiF3ZT9ey0ifjsi/g34N6q3gjallL4z2XI74R7/LYjqGl+/T/U77kwxjr+hWTrf\nrETEH8WJB7YOHoD4qFHWlVJ6J7CT6v24bwJHqd5/C6pdU8NqOQfYQsffo+xAZkuvq1emlF6bUvpI\nSuly4Caq/711UgdyI6V0TUrpnSmlf0kpTQPPAX45Ih5xjyc4AW1nFtWBtD9HdfXqYrSdW59rqfYU\nPwn4X8D/iIj/kDuvSepQZkTE99TjPwZckTun5dCl3O6Jzl8ULiK+F/jeIcM+1f+/gYh4LnBVSulB\np1nvGuCrwCOAjwOPSynNDKnl14G/Av5jSunLI05h2bWdWUQ8nGp38tbU9+mcEXEd8O2U0q+PPpvl\n03Zup3jsKqqDuS+of1F0StuZRcRVwGUcf9DevaiOW3lPSunnRp3Lcmo7t1M89t71Yy9JKV0/ymOW\nU1cyi4jvBg5T7Y16RkrpW6PPYvl1Jbf6MU8G/l/ggSml20ecAlDA5fbrpmDsjUFK6RaAiHgW1Rk/\nsyM87GLgzV1uVKD9zFJKn4mILwCDp0E+iuoo8k5qO7dTeCzVH+IvjruucehAZn9E9R+Ifh8DXgB0\n9m2hDuR2MmdR/Q+5k5cX6EJm9R6VQ1QH1fa63qhAN3Ibh843K01ExEOBBwEPA+4VEY+u7/rXlNId\n9ZjfpTqd9i7gV6hOC/3VVO9iiogfAG4Efj2l9MG+df8nql2lv7hM01kWE8zsT4CpiPhnqs9seh5V\n81L8tWlgMrlFxCOBZ1E1dF+mOsPlSuDdKaWPLdvkJmQSmdUH1H5p4HkAPptSunnys5q8Cb3WHgFs\nptpDcBvwUOC/AYt0+D8Uo5pQZt8NvJPqYNJnAw+Iu8/yvm0lHGQ7qb8HEbF0KYYfpmqIz4vqWKn5\nlNJXRyqu6elDXb4Br6J632zw9qS+MTcCX6E61eq9VAeU9a/jYYOPSXefsvWZtudYWGa7qE4n/Tfg\nCLCx7fl2OTfgB4F3Uf3xWKQ6xuePgO9ue75dzewUz3MnK+jU5Qm91h5CdazBF6nO5riZ6kDuH257\nvh3O7MknWd9d9de1bc+5q7nVy3b3ZdV/e86otXX+mBVJknRm6/zZQJIk6cxmsyJJkjrNZkWSJHWa\nzYokSeo0mxVJktRpNiuSJKnTbFYkSVKn2axIkqROs1mRJEmdZrMiSZI6zWZFkiR12v8P+3AgwIFT\nVjAAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x10f503450>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.plot(x='wa', y='m', kind='scatter')",
"execution_count": 74,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x10be08a90>"
},
"metadata": {},
"execution_count": 74
},
{
"output_type": "display_data",
"data": {
"image/png": 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nnXWOyvOvWXWzfXNEKGgh18QY9e1GXnWaHcm/xepyQCuvs0VCJnh9NClQRlNC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\nBcRKrHcBgKTDSSOcBvIfdyxwS72CxszMzLpPVxQ1j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"text/plain": "<matplotlib.figure.Figure at 0x10b128550>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "import seaborn as sns",
"execution_count": 75,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "sns.set_style('whitegrid')",
"execution_count": 77,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "??sns.jointplot",
"execution_count": 79,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "import numpy as np",
"execution_count": 82,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "tips = sns.load_dataset('tips')",
"execution_count": 84,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "np.random.random((len(tips), 3))",
"execution_count": 85,
"outputs": [
{
"output_type": "execute_result",
"data": {
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5.43689249e-01, 9.67854430e-02],\n [ 1.43878994e-01, 3.95358217e-01, 7.20984172e-01]])"
},
"metadata": {},
"execution_count": 85
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "import matplotlib.pyplot as plt",
"execution_count": 86,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "sns.jointplot(data=df.query('h0 > 0.66 and h0 < 0.68'), x='w', y='wa', kind='reg')",
"execution_count": 147,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<seaborn.axisgrid.JointGrid at 0x111936bd0>"
},
"metadata": {},
"execution_count": 147
},
{
"output_type": "display_data",
"data": {
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Xr8bmzZsRExMDALjnnnuwZcsWfPvtt3jssccQFxeHe+65x3m+O+64A1u3bsXa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\n7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IiIpGKYciCzWcCu/72A//nXeTSd9UAG4JHkcMx/bDQUbUycSERERK6NYcpBamoN+NWf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\nAElFTkSuQmCC\n",
"text/plain": "<matplotlib.figure.Figure at 0x11a63fbd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "sns.jointplot(data=df.query('omegam > 0.31 and omegam < 0.32'), x='w', y='wa', kind='reg')",
"execution_count": 146,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<seaborn.axisgrid.JointGrid at 0x1118ae250>"
},
"metadata": {},
"execution_count": 146
},
{
"output_type": "display_data",
"data": {
"image/png": 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w8MMPO85payn56quv0NTUhFGjRuGPf/wjpk2bBgBoaGjACy+8gJycHOh0OsTH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\nhOiXSN4Tp0tA6Vl9wPtaO4D7/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rTXc2cUZQYMusIRTrmFgW5jM3xQMBUpCqYIISSOVNYZ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\n",
"text/plain": "<matplotlib.figure.Figure at 0x111910710>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "sns.jointplot(data=df, x='w', y='wa', kind='reg')\n#plt.scatter(df.w, df.wa)#, c=plt.)",
"execution_count": 145,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<seaborn.axisgrid.JointGrid at 0x11a435510>"
},
"metadata": {},
"execution_count": 145
},
{
"output_type": "display_data",
"data": {
"image/png": 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A22+/jbFjx7b69XQEKcaEnBvDFBGRHZmZmTYfZ2RkICYmBoIgYODAgTCZTKis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\nERGRBn8Bk7y9fc2lmowAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x11a435810>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "-0.9 + (1 - 1/1.7)*0.5",
"execution_count": 88,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "-0.6941176470588235"
},
"metadata": {},
"execution_count": 88
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 91,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>omegam</th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>0.315581</td>\n <td>0.672851</td>\n <td>-0.998576</td>\n <td>-0.000876</td>\n <td>-19.429752</td>\n <td>-176.996944</td>\n </tr>\n <tr>\n <th>1</th>\n <td>0.315706</td>\n <td>0.672609</td>\n <td>-0.999524</td>\n <td>0.001975</td>\n <td>-19.430313</td>\n <td>-156.198080</td>\n </tr>\n <tr>\n <th>2</th>\n <td>0.315502</td>\n <td>0.672771</td>\n <td>-1.003914</td>\n <td>-0.000895</td>\n <td>-19.430080</td>\n <td>-101.925356</td>\n </tr>\n <tr>\n <th>3</th>\n <td>0.315311</td>\n <td>0.672845</td>\n <td>-1.000489</td>\n <td>-0.004831</td>\n <td>-19.428990</td>\n <td>-92.639634</td>\n </tr>\n <tr>\n <th>4</th>\n <td>0.315923</td>\n <td>0.672679</td>\n <td>-1.001743</td>\n <td>-0.004003</td>\n <td>-19.430807</td>\n <td>-163.644762</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " omegam h0 w wa m LogLike\n0 0.315581 0.672851 -0.998576 -0.000876 -19.429752 -176.996944\n1 0.315706 0.672609 -0.999524 0.001975 -19.430313 -156.198080\n2 0.315502 0.672771 -1.003914 -0.000895 -19.430080 -101.925356\n3 0.315311 0.672845 -1.000489 -0.004831 -19.428990 -92.639634\n4 0.315923 0.672679 -1.001743 -0.004003 -19.430807 -163.644762"
},
"metadata": {},
"execution_count": 91
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "from astropy.cosmology import Flatw0waCDM",
"execution_count": 90,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false,
"scrolled": true
},
"cell_type": "code",
"source": "for i, row in df.iterrows():\n print(row.omegam)\n if i > 5:\n break",
"execution_count": 93,
"outputs": [
{
"output_type": "stream",
"text": "0.31558140808\n0.315706095395\n0.315501854884\n0.315311267905\n0.315922710904\n0.313917093459\n0.315470158883\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "cosmo = Flatw0waCDM(0.3, 70,)",
"execution_count": 94,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "cosmo.distmod(0.7).value -19.3",
"execution_count": 96,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "31.64831532738462"
},
"metadata": {},
"execution_count": 96
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "def mudiffp7(df, z=0.7, name='mp7'):\n x = np.zeros(len(df))\n j = 0\n for i, row in df.iterrows():\n cosmo = Flatw0waCDM(Om0=row.omegam, H0=100*row.h0, w0=row.w, wa=row.wa)\n x[j] = cosmo.distmod(z).value + row.m\n j += 1\n df[name]=x",
"execution_count": 103,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "mudiffp7(df)",
"execution_count": 104,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "mudiffp7(df, z=0.3, name='mp3')",
"execution_count": 130,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 105,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>omegam</th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n <th>mp7</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>0.315581</td>\n <td>0.672851</td>\n <td>-0.998576</td>\n <td>-0.000876</td>\n <td>-19.429752</td>\n <td>-176.996944</td>\n <td>23.787071</td>\n </tr>\n <tr>\n <th>1</th>\n <td>0.315706</td>\n <td>0.672609</td>\n <td>-0.999524</td>\n <td>0.001975</td>\n <td>-19.430313</td>\n <td>-156.198080</td>\n <td>23.787368</td>\n </tr>\n <tr>\n <th>2</th>\n <td>0.315502</td>\n <td>0.672771</td>\n <td>-1.003914</td>\n <td>-0.000895</td>\n <td>-19.430080</td>\n <td>-101.925356</td>\n <td>23.789095</td>\n </tr>\n <tr>\n <th>3</th>\n <td>0.315311</td>\n <td>0.672845</td>\n <td>-1.000489</td>\n <td>-0.004831</td>\n <td>-19.428990</td>\n <td>-92.639634</td>\n <td>23.789057</td>\n </tr>\n <tr>\n <th>4</th>\n <td>0.315923</td>\n <td>0.672679</td>\n <td>-1.001743</td>\n <td>-0.004003</td>\n <td>-19.430807</td>\n <td>-163.644762</td>\n <td>23.787606</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " omegam h0 w wa m LogLike mp7\n0 0.315581 0.672851 -0.998576 -0.000876 -19.429752 -176.996944 23.787071\n1 0.315706 0.672609 -0.999524 0.001975 -19.430313 -156.198080 23.787368\n2 0.315502 0.672771 -1.003914 -0.000895 -19.430080 -101.925356 23.789095\n3 0.315311 0.672845 -1.000489 -0.004831 -19.428990 -92.639634 23.789057\n4 0.315923 0.672679 -1.001743 -0.004003 -19.430807 -163.644762 23.787606"
},
"metadata": {},
"execution_count": 105
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.describe()",
"execution_count": 131,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>omegam</th>\n <th>h0</th>\n <th>w</th>\n <th>wa</th>\n <th>m</th>\n <th>LogLike</th>\n <th>mp7</th>\n <th>M</th>\n <th>mp3</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n <td>128000.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>0.292810</td>\n <td>0.668691</td>\n <td>-0.968646</td>\n <td>0.158687</td>\n <td>-19.440759</td>\n <td>-32.889188</td>\n <td>23.791093</td>\n <td>-10.317231</td>\n <td>21.608159</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.026427</td>\n <td>0.032722</td>\n <td>0.024853</td>\n <td>0.235912</td>\n <td>0.106314</td>\n <td>8.074543</td>\n <td>0.000611</td>\n <td>0.212597</td>\n <td>0.000428</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.176005</td>\n <td>0.600025</td>\n <td>-1.039645</td>\n <td>-0.696508</td>\n <td>-19.675358</td>\n <td>-376.111321</td>\n <td>23.784703</td>\n <td>-10.783253</td>\n <td>21.601594</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.274787</td>\n <td>0.643433</td>\n <td>-0.987242</td>\n <td>-0.006980</td>\n <td>-19.521646</td>\n <td>-33.024221</td>\n <td>23.790709</td>\n <td>-10.479016</td>\n <td>21.607943</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.296756</td>\n <td>0.669829</td>\n <td>-0.972507</td>\n <td>0.159408</td>\n <td>-19.434529</td>\n <td>-32.030694</td>\n <td>23.791102</td>\n <td>-10.304768</td>\n <td>21.608179</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.313249</td>\n <td>0.692519</td>\n <td>-0.952751</td>\n <td>0.340747</td>\n <td>-19.362135</td>\n <td>-31.339480</td>\n <td>23.791499</td>\n <td>-10.160167</td>\n <td>21.608404</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.357024</td>\n <td>0.759541</td>\n <td>-0.853597</td>\n <td>0.757280</td>\n <td>-19.161797</td>\n <td>-30.323145</td>\n <td>23.794497</td>\n <td>-9.759611</td>\n <td>21.609581</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " omegam h0 w wa \\\ncount 128000.000000 128000.000000 128000.000000 128000.000000 \nmean 0.292810 0.668691 -0.968646 0.158687 \nstd 0.026427 0.032722 0.024853 0.235912 \nmin 0.176005 0.600025 -1.039645 -0.696508 \n25% 0.274787 0.643433 -0.987242 -0.006980 \n50% 0.296756 0.669829 -0.972507 0.159408 \n75% 0.313249 0.692519 -0.952751 0.340747 \nmax 0.357024 0.759541 -0.853597 0.757280 \n\n m LogLike mp7 M \\\ncount 128000.000000 128000.000000 128000.000000 128000.000000 \nmean -19.440759 -32.889188 23.791093 -10.317231 \nstd 0.106314 8.074543 0.000611 0.212597 \nmin -19.675358 -376.111321 23.784703 -10.783253 \n25% -19.521646 -33.024221 23.790709 -10.479016 \n50% -19.434529 -32.030694 23.791102 -10.304768 \n75% -19.362135 -31.339480 23.791499 -10.160167 \nmax -19.161797 -30.323145 23.794497 -9.759611 \n\n mp3 \ncount 128000.000000 \nmean 21.608159 \nstd 0.000428 \nmin 21.601594 \n25% 21.607943 \n50% 21.608179 \n75% 21.608404 \nmax 21.609581 "
},
"metadata": {},
"execution_count": 131
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "df['M'] = 5* np.log10(100 *df.h0) + df.m",
"execution_count": 108,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.M.hist()",
"execution_count": 109,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x114bcd550>"
},
"metadata": {},
"execution_count": 109
},
{
"output_type": "display_data",
"data": {
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JkgQYxpIkSRJgGEuSJEmAYSxJkiQB0DbSE5B0rKqqKvLz8yM9jeOqqKigsLCQ8vJy2rdv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\nJAHw/wHvpHjiFMCYVQAAAABJRU5ErkJggg==\n",
"text/plain": "<matplotlib.figure.Figure at 0x116b3ff50>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "df.mp7 - Flatw0waCDM(0.3156, 67.27, ) + 19.43",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "Flatw0waCDM(Om0=0.3156, H0=67.27).distmod(0.7).value - 19.43",
"execution_count": 118,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "23.787780302791738"
},
"metadata": {},
"execution_count": 118
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "Flatw0waCDM(Om0=0.3156, H0=67.27).distmod(0.3).value - 19.43",
"execution_count": 132,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "21.60443720647335"
},
"metadata": {},
"execution_count": 132
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "ç",
"execution_count": 128,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "23.78729443974639"
},
"metadata": {},
"execution_count": 128
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.h0.describe()",
"execution_count": 127,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "count 128000.000000\nmean 0.668691\nstd 0.032722\nmin 0.600025\n25% 0.643433\n50% 0.669829\n75% 0.692519\nmax 0.759541\nName: h0, dtype: float64"
},
"metadata": {},
"execution_count": 127
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df['resp7'] = df.mp7 - 23.78778",
"execution_count": 134,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "df['resp3'] = df.mp3 - 21.6044",
"execution_count": 135,
"outputs": []
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "df.query('wa > 0.45')[['resp7', 'resp3']].describe()",
"execution_count": 140,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>resp7</th>\n <th>resp3</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>16165.000000</td>\n <td>16165.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>0.002934</td>\n <td>0.004031</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0.000480</td>\n <td>0.000304</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0.000883</td>\n <td>0.002927</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0.002588</td>\n <td>0.003827</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0.002916</td>\n <td>0.004027</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0.003264</td>\n <td>0.004235</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0.004457</td>\n <td>0.005181</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " resp7 resp3\ncount 16165.000000 16165.000000\nmean 0.002934 0.004031\nstd 0.000480 0.000304\nmin 0.000883 0.002927\n25% 0.002588 0.003827\n50% 0.002916 0.004027\n75% 0.003264 0.004235\nmax 0.004457 0.005181"
},
"metadata": {},
"execution_count": 140
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "Flatw0waCDM(Om0=0.3156, H0=67.27, wa=0.5, w0=-1.072).distmod(0.7).value - 19.43 - 23.7877",
"execution_count": 143,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "-0.00040556025361127013"
},
"metadata": {},
"execution_count": 143
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "Flatw0waCDM(Om0=0.3156, H0=67.27, wa=0.5, w0=-1.07).distmod(0.3).value - 19.43 -21.6044",
"execution_count": 144,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "0.007272937999964313"
},
"metadata": {},
"execution_count": 144
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python2",
"display_name": "Python [default]",
"language": "python"
},
"anaconda-cloud": {},
"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"
}
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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