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retest and rebuild
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Examples/Database/large_example.ipynb

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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2021-12-16 10:27:57.488079\n",
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"2021-12-16 10:28:04.934592\n"
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"2021-12-16 11:24:06.452428\n",
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"2021-12-16 11:24:14.182734\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2021-12-16 10:28:04.938398\n",
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"1189598\n",
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"2021-12-16 10:28:16.759611\n"
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"2021-12-16 11:24:14.186599\n",
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"1191091\n",
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"2021-12-16 11:24:26.104339\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2021-12-16 10:28:16.764426\n",
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"62734179\n",
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"2021-12-16 10:33:22.756291\n"
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"2021-12-16 11:24:26.108886\n",
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"62877328\n",
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"2021-12-16 11:29:41.264248\n"
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]
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}
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],

Examples/Database/update_joins.ipynb

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Examples/Database/vtreat_db_adapter.ipynb

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"outputs": [
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{
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"data": {
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"text/plain": " encounter_id weight_is_bad patient_nbr readmitted orig_index \\\n0 8860284 1.0 94419315 0 995 \n1 8860944 1.0 338247 0 996 \n2 8864718 1.0 695439 0 997 \n3 8866632 0.0 103586670 0 998 \n4 8867106 1.0 4988970 0 999 \n\n weight_lev__NA_ weight_logit_code weight_prevalence_code \\\n0 1.0 0.005825 0.99397 \n1 1.0 0.005825 0.99397 \n2 1.0 0.005825 0.99397 \n3 0.0 0.000000 0.00000 \n4 1.0 0.005825 0.99397 \n\n time_in_hospital \n0 3 \n1 4 \n2 1 \n3 6 \n4 9 ",
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"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>encounter_id</th>\n <th>weight_is_bad</th>\n <th>patient_nbr</th>\n <th>readmitted</th>\n <th>orig_index</th>\n <th>weight_lev__NA_</th>\n <th>weight_logit_code</th>\n <th>weight_prevalence_code</th>\n <th>time_in_hospital</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>8860284</td>\n <td>1.0</td>\n <td>94419315</td>\n <td>0</td>\n <td>995</td>\n <td>1.0</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>3</td>\n </tr>\n <tr>\n <th>1</th>\n <td>8860944</td>\n <td>1.0</td>\n <td>338247</td>\n <td>0</td>\n <td>996</td>\n <td>1.0</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>4</td>\n </tr>\n <tr>\n <th>2</th>\n <td>8864718</td>\n <td>1.0</td>\n <td>695439</td>\n <td>0</td>\n <td>997</td>\n <td>1.0</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>8866632</td>\n <td>0.0</td>\n <td>103586670</td>\n <td>0</td>\n <td>998</td>\n <td>0.0</td>\n <td>0.000000</td>\n <td>0.00000</td>\n <td>6</td>\n </tr>\n <tr>\n <th>4</th>\n <td>8867106</td>\n <td>1.0</td>\n <td>4988970</td>\n <td>0</td>\n <td>999</td>\n <td>1.0</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>9</td>\n </tr>\n </tbody>\n</table>\n</div>"
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"text/plain": " patient_nbr weight_is_bad orig_index weight_lev__NA_ readmitted \\\n0 94419315 1.0 995 1.0 0 \n1 338247 1.0 996 1.0 0 \n2 695439 1.0 997 1.0 0 \n3 103586670 0.0 998 0.0 0 \n4 4988970 1.0 999 1.0 0 \n\n encounter_id weight_logit_code weight_prevalence_code time_in_hospital \n0 8860284 0.005825 0.99397 3 \n1 8860944 0.005825 0.99397 4 \n2 8864718 0.005825 0.99397 1 \n3 8866632 0.000000 0.00000 6 \n4 8867106 0.005825 0.99397 9 ",
374+
"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>patient_nbr</th>\n <th>weight_is_bad</th>\n <th>orig_index</th>\n <th>weight_lev__NA_</th>\n <th>readmitted</th>\n <th>encounter_id</th>\n <th>weight_logit_code</th>\n <th>weight_prevalence_code</th>\n <th>time_in_hospital</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>94419315</td>\n <td>1.0</td>\n <td>995</td>\n <td>1.0</td>\n <td>0</td>\n <td>8860284</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>3</td>\n </tr>\n <tr>\n <th>1</th>\n <td>338247</td>\n <td>1.0</td>\n <td>996</td>\n <td>1.0</td>\n <td>0</td>\n <td>8860944</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>4</td>\n </tr>\n <tr>\n <th>2</th>\n <td>695439</td>\n <td>1.0</td>\n <td>997</td>\n <td>1.0</td>\n <td>0</td>\n <td>8864718</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>103586670</td>\n <td>0.0</td>\n <td>998</td>\n <td>0.0</td>\n <td>0</td>\n <td>8866632</td>\n <td>0.000000</td>\n <td>0.00000</td>\n <td>6</td>\n </tr>\n <tr>\n <th>4</th>\n <td>4988970</td>\n <td>1.0</td>\n <td>999</td>\n <td>1.0</td>\n <td>0</td>\n <td>8867106</td>\n <td>0.005825</td>\n <td>0.99397</td>\n <td>9</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 11,
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"metadata": {},
@@ -520,12 +520,12 @@
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" \"extend_1\"\n",
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" )\n",
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"SELECT -- .extend({ 'weight_logit_code': 'weight_logit_code.coalesce(0.0)', 'weight_prevalence_code': 'weight_prevalence_code.coalesce(0.0)', 'time_in_hospital': 'time_in_hospital.coalesce(4.8030150753768845)'})\n",
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" \"encounter_id\" ,\n",
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" \"weight_is_bad\" ,\n",
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" \"patient_nbr\" ,\n",
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" \"readmitted\" ,\n",
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" \"weight_is_bad\" ,\n",
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" \"orig_index\" ,\n",
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" \"weight_lev__NA_\" ,\n",
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" \"readmitted\" ,\n",
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" \"encounter_id\" ,\n",
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" COALESCE(\"weight_logit_code\", 0.0) AS \"weight_logit_code\" ,\n",
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" COALESCE(\"weight_prevalence_code\", 0.0) AS \"weight_prevalence_code\" ,\n",
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" COALESCE(\"time_in_hospital\", 4.8030150753768845) AS \"time_in_hospital\"\n",

coverage.txt

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TOTAL 1362 150 89%
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============================= 32 passed in 21.10s ==============================
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============================= 32 passed in 21.98s ==============================

docs/vtreat.html

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<span class="kn">from</span> <span class="nn">vtreat.vtreat_api</span> <span class="kn">import</span> <span class="o">*</span>
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<span class="n">__docformat__</span> <span class="o">=</span> <span class="s2">&quot;restructuredtext&quot;</span>
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<span class="n">__version__</span> <span class="o">=</span> <span class="s2">&quot;1.0.2&quot;</span>
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<span class="n">__version__</span> <span class="o">=</span> <span class="s2">&quot;1.1.0&quot;</span>
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<span class="vm">__doc__</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
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<span class="s2">This&lt;https://github.com/WinVector/pyvtreat&gt; is the Python version of the vtreat data preparation system</span>
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<span class="kn">from</span> <span class="nn">vtreat.vtreat_api</span> <span class="kn">import</span> <span class="o">*</span>
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<span class="n">__docformat__</span> <span class="o">=</span> <span class="s2">&quot;restructuredtext&quot;</span>
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<span class="n">__version__</span> <span class="o">=</span> <span class="s2">&quot;1.0.2&quot;</span>
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<span class="n">__version__</span> <span class="o">=</span> <span class="s2">&quot;1.1.0&quot;</span>
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<span class="vm">__doc__</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
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<span class="s2">This&lt;https://github.com/WinVector/pyvtreat&gt; is the Python version of the vtreat data preparation system</span>

pkg/build/lib/vtreat/__init__.py

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from vtreat.vtreat_api import *
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__docformat__ = "restructuredtext"
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__version__ = "1.0.2"
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__version__ = "1.1.0"
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__doc__ = """
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This<https://github.com/WinVector/pyvtreat> is the Python version of the vtreat data preparation system

pkg/dist/vtreat-1.0.2.tar.gz

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pkg/dist/vtreat-1.1.0.tar.gz

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pkg/setup.py

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setuptools.setup(
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name='vtreat',
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version='1.0.2',
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version='1.1.0',
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author='John Mount, Nina Zumel',
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author_email='[email protected]',
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url='https://github.com/WinVector/pyvtreat',

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