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@rbiswas4
Last active March 6, 2018 20:46
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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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\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": 149,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<seaborn.axisgrid.JointGrid at 0x11c5fb390>"
},
"metadata": {},
"execution_count": 149
},
{
"output_type": "display_data",
"data": {
"image/png": 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f/OIXzJo1C4AjR47whz/8gQ0bNlBdXU1WVhY/+tGP+MY3vtHmOSaTiddff50x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FdZlREffV2J//fuCd99nTdU5Goof6q3BttuPm//PY8g4rNvmyCIAMcC00apYGo1wtJmivUQA1Aw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\n",
"text/plain": "<matplotlib.figure.Figure at 0x11c5edcd0>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true,
"collapsed": false
},
"cell_type": "code",
"source": "sns.jointplot(data=df.query('omegam > 0.25 and omegam < 0.4'), x='w', y='wa', kind='reg')",
"execution_count": 148,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "<seaborn.axisgrid.JointGrid at 0x11a834910>"
},
"metadata": {},
"execution_count": 148
},
{
"output_type": "display_data",
"data": {
"image/png": 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FOrzyyW7Y7C7IZRL84bbhCA10oL6+HjqdrnXzNqJO0mhCkJAQi+RTewKKoohjRUUw2aSA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\ny5uCrvVV3ycDjmNvJBeg22ytTCwqBHzbzHuOVLN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SrigcKGvgrid2YO8MPUevxTY8jdxE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\n8nMWLFjArl27uPnmmwPXdu7cyYIFCyJ67EmTJmEyRX+OVkdHB6dPn47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raycYYwnfk0ZR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\nUlwENi2ZiAEpUeiq1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"text/plain": "<matplotlib.figure.Figure at 0x119a71b50>"
},
"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"
}
},
"gist_id": "2b4550a5dfb9748551b78978b3962a01"
},
"nbformat": 4,
"nbformat_minor": 1
}
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