renaming columns
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@@ -20,7 +20,7 @@
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'Disabilities': 3,
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'Life Threatening Illnesses': 4,
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'Company': 5,
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'Lethality (%)': 6
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'Lethality': 6
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};
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$('#batchCodeTable').DataTable(
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{
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@@ -46,7 +46,7 @@
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columnIndex['Disabilities'],
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columnIndex['Life Threatening Illnesses'],
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columnIndex['Company'],
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columnIndex['Lethality (%)']
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columnIndex['Lethality']
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]
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},
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{
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@@ -54,7 +54,7 @@
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const lethality = parseFloat(data);
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return !isNaN(lethality) ? lethality.toFixed(2) + " %" : '';
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},
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targets: [columnIndex['Lethality (%)']]
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targets: [columnIndex['Lethality']]
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}
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]
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});
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@@ -87,7 +87,7 @@
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<th>Disabilities</th>
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<th>Life Threatening Illnesses</th>
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<th>Company</th>
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<th>Lethality (%)</th>
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<th>Lethality</th>
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</tr>
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</thead>
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</table>
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File diff suppressed because one or more lines are too long
@@ -239,10 +239,10 @@
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" 'Disabilities',\n",
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" 'Life Threatening Illnesses',\n",
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" 'Company',\n",
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" 'Lethality (%)'\n",
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" 'Lethality'\n",
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" ]]\n",
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" if minADRsForLethality is not None:\n",
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" batchCodeTable.loc[batchCodeTable['Total Number of Adverse Reaction Reports'] < minADRsForLethality, 'Lethality (%)'] = np.nan\n",
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" batchCodeTable.loc[batchCodeTable['Total Number of Adverse Reaction Reports'] < minADRsForLethality, 'Lethality'] = np.nan\n",
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" return batchCodeTable\n",
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"\n",
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" # create table from https://www.howbadismybatch.com/combined.html\n",
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@@ -264,7 +264,7 @@
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" @staticmethod\n",
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" def _createSummationTableByVAX_LOT(dataFrame):\n",
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" batchCodeTable = SummationTableFactory.createSummationTable(dataFrame.groupby('VAX_LOT'))\n",
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" batchCodeTable['Lethality (%)'] = batchCodeTable['Deaths'] / batchCodeTable['Total Number of Adverse Reaction Reports'] * 100\n",
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" batchCodeTable['Lethality'] = batchCodeTable['Deaths'] / batchCodeTable['Total Number of Adverse Reaction Reports'] * 100\n",
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" batchCodeTable = batchCodeTable[\n",
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" [\n",
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" 'Total Number of Adverse Reaction Reports',\n",
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@@ -273,7 +273,7 @@
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" 'Life Threatening Illnesses',\n",
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" 'Hospitalisations',\n",
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" 'Emergency Room or Doctor Visits',\n",
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" 'Lethality (%)'\n",
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" 'Lethality'\n",
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" ]]\n",
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" batchCodeTable = batchCodeTable.sort_values(by = 'Total Number of Adverse Reaction Reports', ascending = False)\n",
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" return BatchCodeTableFactory._addCompanyColumn(batchCodeTable, BatchCodeTableFactory._createCompanyByBatchCodeTable(dataFrame))\n",
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@@ -845,7 +845,7 @@
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" 'Disabilities': [2, 0],\n",
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" 'Life Threatening Illnesses': [0, 0],\n",
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" 'Company': ['MODERNA', 'MODERNA'],\n",
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" 'Lethality (%)': [0/2 * 100, np.nan]\n",
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" 'Lethality': [0/2 * 100, np.nan]\n",
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" },\n",
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" index = pd.Index(['025L20A', '037K20A'], name = 'VAX_LOT'))\n",
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" assert_frame_equal(batchCodeTable, batchCodeTableExpected, check_dtype = False)\n",
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@@ -870,7 +870,7 @@
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" 'Disabilities': [2, 0],\n",
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" 'Life Threatening Illnesses': [0, 0],\n",
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" 'Company': ['MODERNA', 'MODERNA'],\n",
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" 'Lethality (%)': [0/2 * 100, 1/1 * 100]\n",
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" 'Lethality': [0/2 * 100, 1/1 * 100]\n",
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" },\n",
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" index = pd.Index(['025L20A', '037K20A'], name = 'VAX_LOT'))\n",
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" assert_frame_equal(batchCodeTable, batchCodeTableExpected, check_dtype = False)\n"
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