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rbiswas4/plasticc_plots_by_type.ipynb

Created March 21, 2019 15:15
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plasticc_plots_by_type.ipynb
{
"cells": [
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import os\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import seaborn as sns\nsns.set_style('whitegrid')\nsns.set_context('notebook')\nfrom matplotlib.backends.backend_pdf import PdfPages",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "dirname = '/Users/rbiswas/data/LSST/plasticc/snmachine_files'",
"execution_count": 3,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "meta_fname = os.path.join('/Users/rbiswas/Downloads/', 'plasticc_train_metadata.csv')\nlc_fname = os.path.join('/Users/rbiswas/Downloads/', 'plasticc_train_lightcurves.csv')",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata = pd.read_csv(meta_fname)\nlcs = pd.read_csv(lc_fname)\nlcs['SNR'] = lcs.flux / lcs.flux_err",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata.head()",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
"text/plain": " object_id ra decl ddf_bool hostgal_specz hostgal_photoz \\\n0 615 349.0461 -61.9438 1 0.000 0.000 \n1 713 53.0859 -27.7844 1 1.818 1.627 \n2 730 33.5742 -6.5796 1 0.232 0.226 \n3 745 0.1899 -45.5867 1 0.304 0.281 \n4 1124 352.7113 -63.8237 1 0.193 0.241 \n\n hostgal_photoz_err distmod mwebv target ... true_rv true_av \\\n0 0.000 -9.000 0.017 92 ... 0.0 0.0 \n1 0.255 45.406 0.007 88 ... 0.0 0.0 \n2 0.016 40.256 0.021 42 ... 0.0 0.0 \n3 1.152 40.795 0.007 90 ... 0.0 0.0 \n4 0.018 40.417 0.024 90 ... 0.0 0.0 \n\n true_peakmjd libid_cadence tflux_u tflux_g tflux_r tflux_i tflux_z \\\n0 59570.000 69 484.7 3286.7 3214.1 3039.7 2854.5 \n1 59570.000 34 108.7 117.7 119.9 149.6 147.9 \n2 60444.379 9 0.0 0.0 0.0 0.0 0.0 \n3 60130.453 38 0.0 0.0 0.0 0.0 0.0 \n4 60452.641 1 0.0 0.0 0.0 0.0 0.0 \n\n tflux_y \n0 2837.0 \n1 150.5 \n2 0.0 \n3 0.0 \n4 0.0 \n\n[5 rows x 26 columns]",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>object_id</th>\n <th>ra</th>\n <th>decl</th>\n <th>ddf_bool</th>\n <th>hostgal_specz</th>\n <th>hostgal_photoz</th>\n <th>hostgal_photoz_err</th>\n <th>distmod</th>\n <th>mwebv</th>\n <th>target</th>\n <th>...</th>\n <th>true_rv</th>\n <th>true_av</th>\n <th>true_peakmjd</th>\n <th>libid_cadence</th>\n <th>tflux_u</th>\n <th>tflux_g</th>\n <th>tflux_r</th>\n <th>tflux_i</th>\n <th>tflux_z</th>\n <th>tflux_y</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>615</td>\n <td>349.0461</td>\n <td>-61.9438</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.017</td>\n <td>92</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>59570.000</td>\n <td>69</td>\n <td>484.7</td>\n <td>3286.7</td>\n <td>3214.1</td>\n <td>3039.7</td>\n <td>2854.5</td>\n <td>2837.0</td>\n </tr>\n <tr>\n <th>1</th>\n <td>713</td>\n <td>53.0859</td>\n <td>-27.7844</td>\n <td>1</td>\n <td>1.818</td>\n <td>1.627</td>\n <td>0.255</td>\n <td>45.406</td>\n <td>0.007</td>\n <td>88</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>59570.000</td>\n <td>34</td>\n <td>108.7</td>\n <td>117.7</td>\n <td>119.9</td>\n <td>149.6</td>\n <td>147.9</td>\n <td>150.5</td>\n </tr>\n <tr>\n <th>2</th>\n <td>730</td>\n <td>33.5742</td>\n <td>-6.5796</td>\n <td>1</td>\n <td>0.232</td>\n <td>0.226</td>\n <td>0.016</td>\n <td>40.256</td>\n <td>0.021</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>60444.379</td>\n <td>9</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>3</th>\n <td>745</td>\n <td>0.1899</td>\n <td>-45.5867</td>\n <td>1</td>\n <td>0.304</td>\n <td>0.281</td>\n <td>1.152</td>\n <td>40.795</td>\n <td>0.007</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>60130.453</td>\n <td>38</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1124</td>\n <td>352.7113</td>\n <td>-63.8237</td>\n <td>1</td>\n <td>0.193</td>\n <td>0.241</td>\n <td>0.018</td>\n <td>40.417</td>\n <td>0.024</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>60452.641</td>\n <td>1</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n </tbody>\n</table>\n<p>5 rows × 26 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "lcs.head()",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": " object_id mjd passband flux flux_err detected_bool \\\n0 615 59750.4229 2 -544.810303 3.622952 1 \n1 615 59750.4306 1 -816.434326 5.553370 1 \n2 615 59750.4383 3 -471.385529 3.801213 1 \n3 615 59750.4450 4 -388.984985 11.395031 1 \n4 615 59752.4070 2 -681.858887 4.041204 1 \n\n SNR \n0 -150.377455 \n1 -147.016015 \n2 -124.009238 \n3 -34.136369 \n4 -168.726668 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>object_id</th>\n <th>mjd</th>\n <th>passband</th>\n <th>flux</th>\n <th>flux_err</th>\n <th>detected_bool</th>\n <th>SNR</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>615</td>\n <td>59750.4229</td>\n <td>2</td>\n <td>-544.810303</td>\n <td>3.622952</td>\n <td>1</td>\n <td>-150.377455</td>\n </tr>\n <tr>\n <th>1</th>\n <td>615</td>\n <td>59750.4306</td>\n <td>1</td>\n <td>-816.434326</td>\n <td>5.553370</td>\n <td>1</td>\n <td>-147.016015</td>\n </tr>\n <tr>\n <th>2</th>\n <td>615</td>\n <td>59750.4383</td>\n <td>3</td>\n <td>-471.385529</td>\n <td>3.801213</td>\n <td>1</td>\n <td>-124.009238</td>\n </tr>\n <tr>\n <th>3</th>\n <td>615</td>\n <td>59750.4450</td>\n <td>4</td>\n <td>-388.984985</td>\n <td>11.395031</td>\n <td>1</td>\n <td>-34.136369</td>\n </tr>\n <tr>\n <th>4</th>\n <td>615</td>\n <td>59752.4070</td>\n <td>2</td>\n <td>-681.858887</td>\n <td>4.041204</td>\n <td>1</td>\n <td>-168.726668</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata.target.unique()",
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 8,
"data": {
"text/plain": "array([92, 88, 42, 90, 65, 16, 67, 95, 62, 15, 52, 6, 64, 53])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata.groupby('target').agg(dict(ra='count'))",
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 9,
"data": {
"text/plain": " ra\ntarget \n6 151\n15 495\n16 924\n42 1193\n52 183\n53 30\n62 484\n64 102\n65 981\n67 208\n88 370\n90 2313\n92 239\n95 175",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>ra</th>\n </tr>\n <tr>\n <th>target</th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>6</th>\n <td>151</td>\n </tr>\n <tr>\n <th>15</th>\n <td>495</td>\n </tr>\n <tr>\n <th>16</th>\n <td>924</td>\n </tr>\n <tr>\n <th>42</th>\n <td>1193</td>\n </tr>\n <tr>\n <th>52</th>\n <td>183</td>\n </tr>\n <tr>\n <th>53</th>\n <td>30</td>\n </tr>\n <tr>\n <th>62</th>\n <td>484</td>\n </tr>\n <tr>\n <th>64</th>\n <td>102</td>\n </tr>\n <tr>\n <th>65</th>\n <td>981</td>\n </tr>\n <tr>\n <th>67</th>\n <td>208</td>\n </tr>\n <tr>\n <th>88</th>\n <td>370</td>\n </tr>\n <tr>\n <th>90</th>\n <td>2313</td>\n </tr>\n <tr>\n <th>92</th>\n <td>239</td>\n </tr>\n <tr>\n <th>95</th>\n <td>175</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "lcs = lcs.merge(metadata[['object_id','target']], on='object_id')",
"execution_count": 10,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def plot_redshifts(metadata, object_class):\n \n fig, (ax, ay) = plt.subplots(2, 1, squeeze=True, gridspec_kw=dict(height_ratios=[1., 0.3]), sharex=True)\n df = metadata.query('target == @object_class')\n ax.plot(df.hostgal_specz, df.hostgal_photoz, 'k.')\n ax.set_xlim(left=0)\n ax.set_ylim(bottom=0)\n #xlims = ax.get_xlim()\n #ylims = ax.get_ylim()\n #maxlim = max(xlims[1], ylims[1])\n #ax.set_xlim(xmax=maxlim)\n #ax.set_ylim(ymax=maxlim)\n \n #if ax.xlim\n #ax.set_aspect('equal')\n ay.errorbar(df.hostgal_specz, df.hostgal_photoz - df.hostgal_specz, yerr=df.hostgal_photoz_err, fmt='.')\n ay.set_xlabel('spec_z')\n ax.set_ylabel('photo_z')\n ay.set_ylabel(r'$\\Delta$ z')\n return fig, (ax, ay)",
"execution_count": 42,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def plot_zhist(metadata, object_class):\n \n \n df = metadata.query('target == @object_class')\n fig, ax = plt.subplots()\n sns.distplot(df.hostgal_specz, label='specz', rug=False, ax=ax)\n sns.distplot(df.hostgal_photoz, label='photoz', rug=False, ax=ax)\n plt.legend(loc='best')\n ax.set_xlabel('z')\n return fig, ax",
"execution_count": 12,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def plot_lc(lc):\n grouped = lc.groupby('passband')\n fig, ax = plt.subplots() #1, 2, figsize=(12, 6))\n for band in grouped.groups:\n x = grouped.get_group(band)\n ax.errorbar(x['mjd'], x['flux'], yerr=x['flux_err'],\n label=band, fmt='.')\n ax.set_xlabel('mjd')\n ax.set_ylabel('flux')\n plt.legend(loc='best')\n return fig, ax",
"execution_count": 16,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata.set_index('object_id')",
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 17,
"data": {
"text/plain": " ra decl ddf_bool hostgal_specz hostgal_photoz \\\nobject_id \n615 349.0461 -61.9438 1 0.000 0.000 \n713 53.0859 -27.7844 1 1.818 1.627 \n730 33.5742 -6.5796 1 0.232 0.226 \n745 0.1899 -45.5867 1 0.304 0.281 \n1124 352.7113 -63.8237 1 0.193 0.241 \n1227 35.6836 -5.3794 1 0.000 0.000 \n1598 347.8467 -64.7609 1 0.135 0.182 \n1632 348.5959 -63.0726 1 0.686 0.701 \n1920 149.4141 3.4338 1 0.309 0.323 \n1926 149.4141 1.9401 1 0.000 0.000 \n2072 0.9657 -46.3751 1 0.152 0.190 \n2103 346.5000 -62.3204 1 0.170 0.541 \n2300 359.4467 -44.2015 1 0.236 2.747 \n2330 359.8052 -46.7685 1 0.454 0.574 \n2624 346.6552 -63.2605 1 0.000 0.000 \n2677 53.9648 -28.6310 1 0.000 0.000 \n2922 352.3987 -62.6967 1 0.154 0.147 \n3041 346.1301 -63.0726 1 0.107 0.127 \n3285 150.8203 1.6415 1 0.161 0.182 \n3423 349.6154 -63.6360 1 1.988 1.121 \n3489 150.1172 2.8361 1 1.133 1.438 \n3910 0.5895 -47.1613 1 0.197 2.677 \n4088 0.9657 -46.3751 1 0.483 0.464 \n4132 359.8117 -45.1916 1 0.056 0.056 \n4171 2.0975 -45.7840 1 0.000 0.000 \n4173 152.0508 3.2844 1 0.515 0.551 \n4220 358.6481 -46.3751 1 0.120 0.132 \n4389 151.6992 3.5833 1 0.233 0.221 \n4595 349.6154 -63.6360 1 0.592 0.600 \n4819 35.3320 -5.9792 1 0.305 0.287 \n... ... ... ... ... ... \n130219752 355.1635 -50.0915 0 0.000 0.000 \n130231675 22.8516 -18.6818 0 0.095 0.166 \n130263372 86.1328 -13.7083 0 0.246 0.302 \n130312781 133.2422 -24.7886 0 0.000 0.000 \n130319749 11.0742 -8.0840 0 0.076 0.069 \n130330088 340.8398 -32.4429 0 0.000 0.000 \n130359176 138.1641 -40.0330 0 0.040 0.077 \n130375489 356.1328 -27.1119 0 0.289 0.294 \n130386135 28.8281 -25.1177 0 0.000 0.000 \n130402542 140.9766 3.7328 0 0.152 0.180 \n130408188 314.2969 -40.0330 0 0.000 0.000 \n130414189 36.4806 -51.6430 0 0.054 0.082 \n130489916 209.7070 -38.3009 0 0.000 0.000 \n130552230 54.3164 -18.5244 0 0.123 0.144 \n130595291 304.9805 -14.1695 0 0.209 0.202 \n130617044 68.3789 -16.3348 0 0.142 0.165 \n130622528 132.5391 -1.6415 0 0.000 0.000 \n130639669 164.0039 -31.0392 0 0.276 0.285 \n130659834 174.9023 -2.0894 0 0.422 0.377 \n130678775 142.7344 -23.4805 0 0.058 0.088 \n130684460 117.9492 -0.8953 0 0.000 0.000 \n130695262 90.0000 -20.2645 0 0.127 2.611 \n130698059 142.7344 -18.9971 0 0.059 0.057 \n130716752 337.3729 -57.2091 0 0.000 0.000 \n130727624 294.9609 -4.0319 0 0.000 0.000 \n130739978 26.7188 -14.9403 0 0.000 0.000 \n130755807 120.1013 -62.6967 0 0.172 2.561 \n130762946 203.1081 -55.6821 0 0.000 0.000 \n130772921 79.1016 -35.5018 0 0.000 0.000 \n130779836 301.9922 -17.4263 0 0.000 0.000 \n\n hostgal_photoz_err distmod mwebv target true_target ... \\\nobject_id ... \n615 0.000 -9.000 0.017 92 92 ... \n713 0.255 45.406 0.007 88 88 ... \n730 0.016 40.256 0.021 42 42 ... \n745 1.152 40.795 0.007 90 90 ... \n1124 0.018 40.417 0.024 90 90 ... \n1227 0.000 -9.000 0.020 65 65 ... \n1598 0.030 39.728 0.019 90 90 ... \n1632 0.010 43.152 0.021 42 42 ... \n1920 0.336 41.140 0.027 90 90 ... \n1926 0.000 -9.000 0.018 65 65 ... \n2072 0.010 39.832 0.007 90 90 ... \n2103 0.228 42.467 0.020 42 42 ... \n2300 0.534 46.796 0.010 42 42 ... \n2330 0.283 42.621 0.011 90 90 ... \n2624 0.000 -9.000 0.019 65 65 ... \n2677 0.000 -9.000 0.009 16 16 ... \n2922 0.009 39.217 0.020 67 67 ... \n3041 0.020 38.880 0.020 67 67 ... \n3285 0.008 39.726 0.020 42 42 ... \n3423 0.159 44.408 0.018 95 95 ... \n3489 0.217 45.075 0.016 88 88 ... \n3910 0.593 46.727 0.009 62 62 ... \n4088 0.032 42.069 0.007 88 88 ... \n4132 0.030 36.975 0.010 42 42 ... \n4171 0.000 -9.000 0.011 16 16 ... \n4173 0.022 42.516 0.019 15 15 ... \n4220 0.335 38.968 0.009 42 42 ... \n4389 0.967 40.194 0.016 90 90 ... \n4595 0.013 42.737 0.018 90 90 ... \n4819 0.008 40.845 0.022 90 90 ... \n... ... ... ... ... ... ... \n130219752 0.000 -9.000 0.013 6 6 ... \n130231675 0.026 39.501 0.014 42 42 ... \n130263372 0.058 40.968 0.187 90 90 ... \n130312781 0.000 -9.000 0.131 16 16 ... \n130319749 0.019 37.450 0.028 42 42 ... \n130330088 0.000 -9.000 0.010 65 65 ... \n130359176 0.015 37.709 0.417 52 52 ... \n130375489 0.009 40.904 0.016 90 90 ... \n130386135 0.000 -9.000 0.011 65 65 ... \n130402542 0.030 39.699 0.032 15 15 ... \n130408188 0.000 -9.000 0.036 16 16 ... \n130414189 0.014 37.845 0.024 90 90 ... \n130489916 0.000 -9.000 0.074 16 16 ... \n130552230 0.017 39.170 0.061 42 42 ... \n130595291 0.012 39.984 0.061 15 15 ... \n130617044 0.011 39.488 0.035 52 52 ... \n130622528 0.000 -9.000 0.015 65 65 ... \n130639669 0.011 40.825 0.070 62 62 ... \n130659834 0.021 41.536 0.024 42 42 ... \n130678775 0.015 38.032 0.056 64 64 ... \n130684460 0.000 -9.000 0.053 16 16 ... \n130695262 0.973 46.662 0.043 15 15 ... \n130698059 0.025 37.025 0.045 67 67 ... \n130716752 0.000 -9.000 0.016 16 16 ... \n130727624 0.000 -9.000 0.291 65 65 ... \n130739978 0.000 -9.000 0.013 65 65 ... \n130755807 1.115 46.611 0.136 90 90 ... \n130762946 0.000 -9.000 0.430 16 16 ... \n130772921 0.000 -9.000 0.034 65 65 ... \n130779836 0.000 -9.000 0.091 6 6 ... \n\n true_rv true_av true_peakmjd libid_cadence tflux_u tflux_g \\\nobject_id \n615 0.0 0.000 59570.000 69 484.7 3286.7 \n713 0.0 0.000 59570.000 34 108.7 117.7 \n730 0.0 0.000 60444.379 9 0.0 0.0 \n745 0.0 0.000 60130.453 38 0.0 0.0 \n1124 0.0 0.000 60452.641 1 0.0 0.0 \n1227 0.0 0.000 59570.000 47 2.3 11.6 \n1598 0.0 0.000 60628.816 20 0.0 0.0 \n1632 3.1 0.051 59602.090 93 0.0 0.0 \n1920 0.0 0.000 59996.625 107 0.0 0.0 \n1926 0.0 0.000 59570.000 15 16.6 130.6 \n2072 0.0 0.000 59652.648 96 0.0 0.0 \n2103 0.0 0.000 60220.684 75 0.0 0.0 \n2300 0.0 0.000 59582.930 13 0.0 0.0 \n2330 0.0 0.000 60385.449 119 0.0 0.0 \n2624 0.0 0.000 59570.000 17 56.4 441.7 \n2677 0.0 0.000 59570.000 121 169.8 2841.8 \n2922 0.0 0.000 60116.340 131 0.0 0.0 \n3041 0.0 0.000 60387.473 14 0.0 0.0 \n3285 0.0 0.000 60403.363 60 0.0 0.0 \n3423 3.1 0.056 59970.930 81 0.0 0.0 \n3489 0.0 0.000 59570.000 106 39.6 41.2 \n3910 3.1 0.062 60545.609 10 0.0 0.0 \n4088 0.0 0.000 59570.000 96 174.7 190.5 \n4132 0.0 0.000 59613.430 105 0.0 0.0 \n4171 0.0 0.000 59570.000 24 24.3 269.7 \n4173 3.1 0.090 59908.965 94 0.0 0.0 \n4220 0.0 0.000 60206.613 117 0.0 0.0 \n4389 0.0 0.000 60277.695 64 0.0 0.0 \n4595 0.0 0.000 60218.465 81 0.0 0.0 \n4819 0.0 0.000 60558.340 61 0.0 0.0 \n... ... ... ... ... ... ... \n130219752 0.0 0.000 60456.777 26398 32.6 295.1 \n130231675 0.0 0.000 59977.652 1090 0.0 0.0 \n130263372 0.0 0.000 60349.887 14938 0.0 0.0 \n130312781 0.0 0.000 59570.000 10566 1575.3 11938.4 \n130319749 0.0 0.000 60018.941 33178 0.0 0.0 \n130330088 0.0 0.000 59570.000 7240 12.2 95.3 \n130359176 0.0 0.000 59789.855 5027 0.0 0.0 \n130375489 0.0 0.000 59722.523 23047 0.0 0.0 \n130386135 0.0 0.000 59570.000 23085 12.4 124.2 \n130402542 3.1 0.000 59629.789 26555 0.0 0.0 \n130408188 0.0 0.000 59570.000 2340 719.1 11916.9 \n130414189 0.0 0.000 60594.297 49714 0.0 0.0 \n130489916 0.0 0.000 59570.000 32499 110.6 1685.8 \n130552230 0.0 0.000 59952.922 43222 0.0 0.0 \n130595291 3.1 0.116 60507.305 48923 0.0 0.0 \n130617044 0.0 0.000 59794.699 25157 0.0 0.0 \n130622528 0.0 0.000 59570.000 45993 81.1 755.6 \n130639669 3.1 0.015 59957.750 10242 0.0 0.0 \n130659834 3.1 0.166 60337.598 27460 0.0 0.0 \n130678775 3.1 0.446 60386.914 12712 0.0 0.0 \n130684460 0.0 0.000 59570.000 16801 1218.4 15515.9 \n130695262 3.1 0.066 60198.840 41525 0.0 0.0 \n130698059 0.0 0.000 59759.762 15224 0.0 0.0 \n130716752 0.0 0.000 59570.000 8190 54.1 399.8 \n130727624 0.0 0.000 59570.000 32184 2.6 15.8 \n130739978 0.0 0.000 59570.000 18232 26.4 267.6 \n130755807 0.0 0.000 60056.809 14934 0.0 0.0 \n130762946 0.0 0.000 59570.000 47805 83.8 1124.7 \n130772921 0.0 0.000 59570.000 22240 1.9 14.4 \n130779836 0.0 0.000 59905.160 305 6134.1 23008.9 \n\n tflux_r tflux_i tflux_z tflux_y \nobject_id \n615 3214.1 3039.7 2854.5 2837.0 \n713 119.9 149.6 147.9 150.5 \n730 0.0 0.0 0.0 0.0 \n745 0.0 0.0 0.0 0.0 \n1124 0.0 0.0 0.0 0.0 \n1227 31.6 240.0 632.4 1187.7 \n1598 0.0 0.0 0.0 0.0 \n1632 0.0 0.0 0.0 0.0 \n1920 0.0 0.0 0.0 0.0 \n1926 450.4 2237.3 4903.2 8229.6 \n2072 0.0 0.0 0.0 0.0 \n2103 0.0 0.0 0.0 0.0 \n2300 0.0 0.0 0.0 0.0 \n2330 0.0 0.0 0.0 0.0 \n2624 1520.8 7549.5 16540.2 27756.7 \n2677 4410.2 4036.8 2970.1 1363.7 \n2922 0.0 0.0 0.0 0.0 \n3041 0.0 0.0 0.0 0.0 \n3285 0.0 0.0 0.0 0.0 \n3423 0.0 0.0 0.0 0.0 \n3489 47.9 46.2 43.2 49.8 \n3910 0.0 0.0 0.0 0.0 \n4088 182.7 222.2 239.6 376.7 \n4132 0.0 0.0 0.0 0.0 \n4171 314.2 240.7 158.9 67.9 \n4173 0.0 0.0 0.0 0.0 \n4220 0.0 0.0 0.0 0.0 \n4389 0.0 0.0 0.0 0.0 \n4595 0.0 0.0 0.0 0.0 \n4819 0.0 0.0 0.0 0.0 \n... ... ... ... ... \n130219752 736.1 1005.1 1187.0 1322.6 \n130231675 0.0 0.0 0.0 0.0 \n130263372 0.0 0.0 0.0 0.0 \n130312781 10462.2 6781.8 4087.4 1645.0 \n130319749 0.0 0.0 0.0 0.0 \n130330088 328.1 1628.8 3565.7 5980.7 \n130359176 0.0 0.0 0.0 0.0 \n130375489 0.0 0.0 0.0 0.0 \n130386135 355.0 1304.3 2246.9 2879.8 \n130402542 0.0 0.0 0.0 0.0 \n130408188 18321.4 16665.9 12244.1 5614.3 \n130414189 0.0 0.0 0.0 0.0 \n130489916 2432.3 2125.9 1528.9 690.9 \n130552230 0.0 0.0 0.0 0.0 \n130595291 0.0 0.0 0.0 0.0 \n130617044 0.0 0.0 0.0 0.0 \n130622528 2219.8 6788.0 11020.4 13775.4 \n130639669 0.0 0.0 0.0 0.0 \n130659834 0.0 0.0 0.0 0.0 \n130678775 0.0 0.0 0.0 0.0 \n130684460 19774.3 16017.1 10969.7 4800.3 \n130695262 0.0 0.0 0.0 0.0 \n130698059 0.0 0.0 0.0 0.0 \n130716752 348.8 225.4 134.4 53.7 \n130727624 50.6 244.4 540.8 915.7 \n130739978 742.8 3295.1 6047.5 7955.2 \n130755807 0.0 0.0 0.0 0.0 \n130762946 1445.1 1191.2 848.9 382.5 \n130772921 49.4 244.3 534.8 897.2 \n130779836 36299.5 41257.7 43047.7 44230.7 \n\n[7848 rows x 25 columns]",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>ra</th>\n <th>decl</th>\n <th>ddf_bool</th>\n <th>hostgal_specz</th>\n <th>hostgal_photoz</th>\n <th>hostgal_photoz_err</th>\n <th>distmod</th>\n <th>mwebv</th>\n <th>target</th>\n <th>true_target</th>\n <th>...</th>\n <th>true_rv</th>\n <th>true_av</th>\n <th>true_peakmjd</th>\n <th>libid_cadence</th>\n <th>tflux_u</th>\n <th>tflux_g</th>\n <th>tflux_r</th>\n <th>tflux_i</th>\n <th>tflux_z</th>\n <th>tflux_y</th>\n </tr>\n <tr>\n <th>object_id</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>615</th>\n <td>349.0461</td>\n <td>-61.9438</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.017</td>\n <td>92</td>\n <td>92</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>69</td>\n <td>484.7</td>\n <td>3286.7</td>\n <td>3214.1</td>\n <td>3039.7</td>\n <td>2854.5</td>\n <td>2837.0</td>\n </tr>\n <tr>\n <th>713</th>\n <td>53.0859</td>\n <td>-27.7844</td>\n <td>1</td>\n <td>1.818</td>\n <td>1.627</td>\n <td>0.255</td>\n <td>45.406</td>\n <td>0.007</td>\n <td>88</td>\n <td>88</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>34</td>\n <td>108.7</td>\n <td>117.7</td>\n <td>119.9</td>\n <td>149.6</td>\n <td>147.9</td>\n <td>150.5</td>\n </tr>\n <tr>\n <th>730</th>\n <td>33.5742</td>\n <td>-6.5796</td>\n <td>1</td>\n <td>0.232</td>\n <td>0.226</td>\n <td>0.016</td>\n <td>40.256</td>\n <td>0.021</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60444.379</td>\n <td>9</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>745</th>\n <td>0.1899</td>\n <td>-45.5867</td>\n <td>1</td>\n <td>0.304</td>\n <td>0.281</td>\n <td>1.152</td>\n <td>40.795</td>\n <td>0.007</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60130.453</td>\n <td>38</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1124</th>\n <td>352.7113</td>\n <td>-63.8237</td>\n <td>1</td>\n <td>0.193</td>\n <td>0.241</td>\n <td>0.018</td>\n <td>40.417</td>\n <td>0.024</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60452.641</td>\n <td>1</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1227</th>\n <td>35.6836</td>\n <td>-5.3794</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.020</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>47</td>\n <td>2.3</td>\n <td>11.6</td>\n <td>31.6</td>\n <td>240.0</td>\n <td>632.4</td>\n <td>1187.7</td>\n </tr>\n <tr>\n <th>1598</th>\n <td>347.8467</td>\n <td>-64.7609</td>\n <td>1</td>\n <td>0.135</td>\n <td>0.182</td>\n <td>0.030</td>\n <td>39.728</td>\n <td>0.019</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60628.816</td>\n <td>20</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1632</th>\n <td>348.5959</td>\n <td>-63.0726</td>\n <td>1</td>\n <td>0.686</td>\n <td>0.701</td>\n <td>0.010</td>\n <td>43.152</td>\n <td>0.021</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.051</td>\n <td>59602.090</td>\n <td>93</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1920</th>\n <td>149.4141</td>\n <td>3.4338</td>\n <td>1</td>\n <td>0.309</td>\n <td>0.323</td>\n <td>0.336</td>\n <td>41.140</td>\n <td>0.027</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59996.625</td>\n <td>107</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1926</th>\n <td>149.4141</td>\n <td>1.9401</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.018</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>15</td>\n <td>16.6</td>\n <td>130.6</td>\n <td>450.4</td>\n <td>2237.3</td>\n <td>4903.2</td>\n <td>8229.6</td>\n </tr>\n <tr>\n <th>2072</th>\n <td>0.9657</td>\n <td>-46.3751</td>\n <td>1</td>\n <td>0.152</td>\n <td>0.190</td>\n <td>0.010</td>\n <td>39.832</td>\n <td>0.007</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59652.648</td>\n <td>96</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>2103</th>\n <td>346.5000</td>\n <td>-62.3204</td>\n <td>1</td>\n <td>0.170</td>\n <td>0.541</td>\n <td>0.228</td>\n <td>42.467</td>\n <td>0.020</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60220.684</td>\n <td>75</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>2300</th>\n <td>359.4467</td>\n <td>-44.2015</td>\n <td>1</td>\n <td>0.236</td>\n <td>2.747</td>\n <td>0.534</td>\n <td>46.796</td>\n <td>0.010</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59582.930</td>\n <td>13</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>2330</th>\n <td>359.8052</td>\n <td>-46.7685</td>\n <td>1</td>\n <td>0.454</td>\n <td>0.574</td>\n <td>0.283</td>\n <td>42.621</td>\n <td>0.011</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60385.449</td>\n <td>119</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>2624</th>\n <td>346.6552</td>\n <td>-63.2605</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.019</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>17</td>\n <td>56.4</td>\n <td>441.7</td>\n <td>1520.8</td>\n <td>7549.5</td>\n <td>16540.2</td>\n <td>27756.7</td>\n </tr>\n <tr>\n <th>2677</th>\n <td>53.9648</td>\n <td>-28.6310</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.009</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>121</td>\n <td>169.8</td>\n <td>2841.8</td>\n <td>4410.2</td>\n <td>4036.8</td>\n <td>2970.1</td>\n <td>1363.7</td>\n </tr>\n <tr>\n <th>2922</th>\n <td>352.3987</td>\n <td>-62.6967</td>\n <td>1</td>\n <td>0.154</td>\n <td>0.147</td>\n <td>0.009</td>\n <td>39.217</td>\n <td>0.020</td>\n <td>67</td>\n <td>67</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60116.340</td>\n <td>131</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>3041</th>\n <td>346.1301</td>\n <td>-63.0726</td>\n <td>1</td>\n <td>0.107</td>\n <td>0.127</td>\n <td>0.020</td>\n <td>38.880</td>\n <td>0.020</td>\n <td>67</td>\n <td>67</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60387.473</td>\n <td>14</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>3285</th>\n <td>150.8203</td>\n <td>1.6415</td>\n <td>1</td>\n <td>0.161</td>\n <td>0.182</td>\n <td>0.008</td>\n <td>39.726</td>\n <td>0.020</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60403.363</td>\n <td>60</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>3423</th>\n <td>349.6154</td>\n <td>-63.6360</td>\n <td>1</td>\n <td>1.988</td>\n <td>1.121</td>\n <td>0.159</td>\n <td>44.408</td>\n <td>0.018</td>\n <td>95</td>\n <td>95</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.056</td>\n <td>59970.930</td>\n <td>81</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>3489</th>\n <td>150.1172</td>\n <td>2.8361</td>\n <td>1</td>\n <td>1.133</td>\n <td>1.438</td>\n <td>0.217</td>\n <td>45.075</td>\n <td>0.016</td>\n <td>88</td>\n <td>88</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>106</td>\n <td>39.6</td>\n <td>41.2</td>\n <td>47.9</td>\n <td>46.2</td>\n <td>43.2</td>\n <td>49.8</td>\n </tr>\n <tr>\n <th>3910</th>\n <td>0.5895</td>\n <td>-47.1613</td>\n <td>1</td>\n <td>0.197</td>\n <td>2.677</td>\n <td>0.593</td>\n <td>46.727</td>\n <td>0.009</td>\n <td>62</td>\n <td>62</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.062</td>\n <td>60545.609</td>\n <td>10</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4088</th>\n <td>0.9657</td>\n <td>-46.3751</td>\n <td>1</td>\n <td>0.483</td>\n <td>0.464</td>\n <td>0.032</td>\n <td>42.069</td>\n <td>0.007</td>\n <td>88</td>\n <td>88</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>96</td>\n <td>174.7</td>\n <td>190.5</td>\n <td>182.7</td>\n <td>222.2</td>\n <td>239.6</td>\n <td>376.7</td>\n </tr>\n <tr>\n <th>4132</th>\n <td>359.8117</td>\n <td>-45.1916</td>\n <td>1</td>\n <td>0.056</td>\n <td>0.056</td>\n <td>0.030</td>\n <td>36.975</td>\n <td>0.010</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59613.430</td>\n <td>105</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4171</th>\n <td>2.0975</td>\n <td>-45.7840</td>\n <td>1</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.011</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>24</td>\n <td>24.3</td>\n <td>269.7</td>\n <td>314.2</td>\n <td>240.7</td>\n <td>158.9</td>\n <td>67.9</td>\n </tr>\n <tr>\n <th>4173</th>\n <td>152.0508</td>\n <td>3.2844</td>\n <td>1</td>\n <td>0.515</td>\n <td>0.551</td>\n <td>0.022</td>\n <td>42.516</td>\n <td>0.019</td>\n <td>15</td>\n <td>15</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.090</td>\n <td>59908.965</td>\n <td>94</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4220</th>\n <td>358.6481</td>\n <td>-46.3751</td>\n <td>1</td>\n <td>0.120</td>\n <td>0.132</td>\n <td>0.335</td>\n <td>38.968</td>\n <td>0.009</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60206.613</td>\n <td>117</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4389</th>\n <td>151.6992</td>\n <td>3.5833</td>\n <td>1</td>\n <td>0.233</td>\n <td>0.221</td>\n <td>0.967</td>\n <td>40.194</td>\n <td>0.016</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60277.695</td>\n <td>64</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4595</th>\n <td>349.6154</td>\n <td>-63.6360</td>\n <td>1</td>\n <td>0.592</td>\n <td>0.600</td>\n <td>0.013</td>\n <td>42.737</td>\n <td>0.018</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60218.465</td>\n <td>81</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>4819</th>\n <td>35.3320</td>\n <td>-5.9792</td>\n <td>1</td>\n <td>0.305</td>\n <td>0.287</td>\n <td>0.008</td>\n <td>40.845</td>\n <td>0.022</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60558.340</td>\n <td>61</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>130219752</th>\n <td>355.1635</td>\n <td>-50.0915</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.013</td>\n <td>6</td>\n <td>6</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60456.777</td>\n <td>26398</td>\n <td>32.6</td>\n <td>295.1</td>\n <td>736.1</td>\n <td>1005.1</td>\n <td>1187.0</td>\n <td>1322.6</td>\n </tr>\n <tr>\n <th>130231675</th>\n <td>22.8516</td>\n <td>-18.6818</td>\n <td>0</td>\n <td>0.095</td>\n <td>0.166</td>\n <td>0.026</td>\n <td>39.501</td>\n <td>0.014</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59977.652</td>\n <td>1090</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130263372</th>\n <td>86.1328</td>\n <td>-13.7083</td>\n <td>0</td>\n <td>0.246</td>\n <td>0.302</td>\n <td>0.058</td>\n <td>40.968</td>\n <td>0.187</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60349.887</td>\n <td>14938</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130312781</th>\n <td>133.2422</td>\n <td>-24.7886</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.131</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>10566</td>\n <td>1575.3</td>\n <td>11938.4</td>\n <td>10462.2</td>\n <td>6781.8</td>\n <td>4087.4</td>\n <td>1645.0</td>\n </tr>\n <tr>\n <th>130319749</th>\n <td>11.0742</td>\n <td>-8.0840</td>\n <td>0</td>\n <td>0.076</td>\n <td>0.069</td>\n <td>0.019</td>\n <td>37.450</td>\n <td>0.028</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60018.941</td>\n <td>33178</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130330088</th>\n <td>340.8398</td>\n <td>-32.4429</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.010</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>7240</td>\n <td>12.2</td>\n <td>95.3</td>\n <td>328.1</td>\n <td>1628.8</td>\n <td>3565.7</td>\n <td>5980.7</td>\n </tr>\n <tr>\n <th>130359176</th>\n <td>138.1641</td>\n <td>-40.0330</td>\n <td>0</td>\n <td>0.040</td>\n <td>0.077</td>\n <td>0.015</td>\n <td>37.709</td>\n <td>0.417</td>\n <td>52</td>\n <td>52</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59789.855</td>\n <td>5027</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130375489</th>\n <td>356.1328</td>\n <td>-27.1119</td>\n <td>0</td>\n <td>0.289</td>\n <td>0.294</td>\n <td>0.009</td>\n <td>40.904</td>\n <td>0.016</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59722.523</td>\n <td>23047</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130386135</th>\n <td>28.8281</td>\n <td>-25.1177</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.011</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>23085</td>\n <td>12.4</td>\n <td>124.2</td>\n <td>355.0</td>\n <td>1304.3</td>\n <td>2246.9</td>\n <td>2879.8</td>\n </tr>\n <tr>\n <th>130402542</th>\n <td>140.9766</td>\n <td>3.7328</td>\n <td>0</td>\n <td>0.152</td>\n <td>0.180</td>\n <td>0.030</td>\n <td>39.699</td>\n <td>0.032</td>\n <td>15</td>\n <td>15</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.000</td>\n <td>59629.789</td>\n <td>26555</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130408188</th>\n <td>314.2969</td>\n <td>-40.0330</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.036</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>2340</td>\n <td>719.1</td>\n <td>11916.9</td>\n <td>18321.4</td>\n <td>16665.9</td>\n <td>12244.1</td>\n <td>5614.3</td>\n </tr>\n <tr>\n <th>130414189</th>\n <td>36.4806</td>\n <td>-51.6430</td>\n <td>0</td>\n <td>0.054</td>\n <td>0.082</td>\n <td>0.014</td>\n <td>37.845</td>\n <td>0.024</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60594.297</td>\n <td>49714</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130489916</th>\n <td>209.7070</td>\n <td>-38.3009</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.074</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>32499</td>\n <td>110.6</td>\n <td>1685.8</td>\n <td>2432.3</td>\n <td>2125.9</td>\n <td>1528.9</td>\n <td>690.9</td>\n </tr>\n <tr>\n <th>130552230</th>\n <td>54.3164</td>\n <td>-18.5244</td>\n <td>0</td>\n <td>0.123</td>\n <td>0.144</td>\n <td>0.017</td>\n <td>39.170</td>\n <td>0.061</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59952.922</td>\n <td>43222</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130595291</th>\n <td>304.9805</td>\n <td>-14.1695</td>\n <td>0</td>\n <td>0.209</td>\n <td>0.202</td>\n <td>0.012</td>\n <td>39.984</td>\n <td>0.061</td>\n <td>15</td>\n <td>15</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.116</td>\n <td>60507.305</td>\n <td>48923</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130617044</th>\n <td>68.3789</td>\n <td>-16.3348</td>\n <td>0</td>\n <td>0.142</td>\n <td>0.165</td>\n <td>0.011</td>\n <td>39.488</td>\n <td>0.035</td>\n <td>52</td>\n <td>52</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59794.699</td>\n <td>25157</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130622528</th>\n <td>132.5391</td>\n <td>-1.6415</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.015</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>45993</td>\n <td>81.1</td>\n <td>755.6</td>\n <td>2219.8</td>\n <td>6788.0</td>\n <td>11020.4</td>\n <td>13775.4</td>\n </tr>\n <tr>\n <th>130639669</th>\n <td>164.0039</td>\n <td>-31.0392</td>\n <td>0</td>\n <td>0.276</td>\n <td>0.285</td>\n <td>0.011</td>\n <td>40.825</td>\n <td>0.070</td>\n <td>62</td>\n <td>62</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.015</td>\n <td>59957.750</td>\n <td>10242</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130659834</th>\n <td>174.9023</td>\n <td>-2.0894</td>\n <td>0</td>\n <td>0.422</td>\n <td>0.377</td>\n <td>0.021</td>\n <td>41.536</td>\n <td>0.024</td>\n <td>42</td>\n <td>42</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.166</td>\n <td>60337.598</td>\n <td>27460</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130678775</th>\n <td>142.7344</td>\n <td>-23.4805</td>\n <td>0</td>\n <td>0.058</td>\n <td>0.088</td>\n <td>0.015</td>\n <td>38.032</td>\n <td>0.056</td>\n <td>64</td>\n <td>64</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.446</td>\n <td>60386.914</td>\n <td>12712</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130684460</th>\n <td>117.9492</td>\n <td>-0.8953</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.053</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>16801</td>\n <td>1218.4</td>\n <td>15515.9</td>\n <td>19774.3</td>\n <td>16017.1</td>\n <td>10969.7</td>\n <td>4800.3</td>\n </tr>\n <tr>\n <th>130695262</th>\n <td>90.0000</td>\n <td>-20.2645</td>\n <td>0</td>\n <td>0.127</td>\n <td>2.611</td>\n <td>0.973</td>\n <td>46.662</td>\n <td>0.043</td>\n <td>15</td>\n <td>15</td>\n <td>...</td>\n <td>3.1</td>\n <td>0.066</td>\n <td>60198.840</td>\n <td>41525</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130698059</th>\n <td>142.7344</td>\n <td>-18.9971</td>\n <td>0</td>\n <td>0.059</td>\n <td>0.057</td>\n <td>0.025</td>\n <td>37.025</td>\n <td>0.045</td>\n <td>67</td>\n <td>67</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59759.762</td>\n <td>15224</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130716752</th>\n <td>337.3729</td>\n <td>-57.2091</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.016</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>8190</td>\n <td>54.1</td>\n <td>399.8</td>\n <td>348.8</td>\n <td>225.4</td>\n <td>134.4</td>\n <td>53.7</td>\n </tr>\n <tr>\n <th>130727624</th>\n <td>294.9609</td>\n <td>-4.0319</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.291</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>32184</td>\n <td>2.6</td>\n <td>15.8</td>\n <td>50.6</td>\n <td>244.4</td>\n <td>540.8</td>\n <td>915.7</td>\n </tr>\n <tr>\n <th>130739978</th>\n <td>26.7188</td>\n <td>-14.9403</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.013</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>18232</td>\n <td>26.4</td>\n <td>267.6</td>\n <td>742.8</td>\n <td>3295.1</td>\n <td>6047.5</td>\n <td>7955.2</td>\n </tr>\n <tr>\n <th>130755807</th>\n <td>120.1013</td>\n <td>-62.6967</td>\n <td>0</td>\n <td>0.172</td>\n <td>2.561</td>\n <td>1.115</td>\n <td>46.611</td>\n <td>0.136</td>\n <td>90</td>\n <td>90</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>60056.809</td>\n <td>14934</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>130762946</th>\n <td>203.1081</td>\n <td>-55.6821</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.430</td>\n <td>16</td>\n <td>16</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>47805</td>\n <td>83.8</td>\n <td>1124.7</td>\n <td>1445.1</td>\n <td>1191.2</td>\n <td>848.9</td>\n <td>382.5</td>\n </tr>\n <tr>\n <th>130772921</th>\n <td>79.1016</td>\n <td>-35.5018</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.034</td>\n <td>65</td>\n <td>65</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59570.000</td>\n <td>22240</td>\n <td>1.9</td>\n <td>14.4</td>\n <td>49.4</td>\n <td>244.3</td>\n <td>534.8</td>\n <td>897.2</td>\n </tr>\n <tr>\n <th>130779836</th>\n <td>301.9922</td>\n <td>-17.4263</td>\n <td>0</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>0.000</td>\n <td>-9.000</td>\n <td>0.091</td>\n <td>6</td>\n <td>6</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.000</td>\n <td>59905.160</td>\n <td>305</td>\n <td>6134.1</td>\n <td>23008.9</td>\n <td>36299.5</td>\n <td>41257.7</td>\n <td>43047.7</td>\n <td>44230.7</td>\n </tr>\n </tbody>\n</table>\n<p>7848 rows × 25 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metas = metadata.query('target == 53').sort_values(by='ddf_bool', ascending=False)\n ",
"execution_count": 18,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def make_plots(lcs, metadata, obj_class, fname=None):\n if fname is None:\n fname = 'plasticc_training_{}.pdf'.format(obj_class)\n # cut down on class size\n lcs = lcs.query('target == @obj_class')\n metas = metadata.query('target == @obj_class').sort_values(by='ddf_bool',\n ascending=False)\n with PdfPages(fname) as pdf:\n \n fig, ax = plot_zhist(metadata, obj_class)\n plt.title('redshift dist, object class = {}'.format(obj_class))\n pdf.savefig(fig)\n plt.close(fig)\n \n fig, ax = plot_redshifts(metadata, obj_class)\n plt.title('redshifts, object class = {}'.format(obj_class))\n pdf.savefig(fig)\n plt.close(fig)\n \n for count, (tid, ddf_bool, pz) in enumerate(metas[['object_id', 'ddf_bool', 'hostgal_photoz']].values):\n lc = lcs.query('object_id == @tid')\n fig, ax = plot_lc(lc)\n plt.title('Num = {3}, object_id = {0}, ddf = {1:1d}, pz = {2:1.2f}'.format(int(tid), int(ddf_bool), pz, count))\n pdf.savefig(fig)\n plt.close(fig)\n return 0",
"execution_count": 38,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "metadata.target.unique()",
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 35,
"data": {
"text/plain": "array([92, 88, 42, 90, 65, 16, 67, 95, 62, 15, 52, 6, 64, 53])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "make_plots(lcs, metadata, 53)",
"execution_count": 39,
"outputs": [
{
"output_type": "stream",
"text": "/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n",
"name": "stderr"
},
{
"output_type": "execute_result",
"execution_count": 39,
"data": {
"text/plain": "0"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "extra_galactic = metadata.query('hostgal_photoz > 0').target.unique()",
"execution_count": 23,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "extra_galactic",
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 24,
"data": {
"text/plain": "array([88, 42, 90, 67, 95, 62, 15, 52, 64])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "for target in metadata.target.unique():\n make_plots(lcs, metadata, target)",
"execution_count": 25,
"outputs": [
{
"output_type": "stream",
"text": "/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3215: MatplotlibDeprecationWarning: \nThe `xmin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `left` instead.\n alternative='`left`', obj_type='argument')\n/Users/rbiswas/soft/mypython3/lib/python3.7/site-packages/matplotlib/axes/_base.py:3604: MatplotlibDeprecationWarning: \nThe `ymin` argument was deprecated in Matplotlib 3.0 and will be removed in 3.2. Use `bottom` instead.\n alternative='`bottom`', obj_type='argument')\n",
"name": "stderr"
}
]
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.7.1",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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