naming index
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@@ -117,6 +117,7 @@
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" return createManufacturerByBatchCodeTable(df).rename(columns = {\"VAX_MANU\": \"COMPANY\"})\n",
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"\n",
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"# create table from https://www.howbadismybatch.com/combined.html\n",
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"# FK-TODO: DRY with createBatchCodeTable()\n",
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"def createSevereEffectsBatchCodeTable(df):\n",
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" def filterDataFrame(df, col):\n",
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" return df[df[col] == 'Y']['VAX_LOT']\n",
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@@ -130,6 +131,7 @@
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" 'EMERGENCY ROOM OR DOCTOR VISITS': filterDataFrame(df, 'ER_VISIT').value_counts()\n",
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" }\n",
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" batchCodeTable = pd.concat(batchCodeTableDict, axis = 'columns')\n",
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" batchCodeTable.index.name = 'VAX_LOT'\n",
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" # add Company column:\n",
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" batchCodeTable = pd.merge(\n",
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" batchCodeTable,\n",
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@@ -454,7 +456,7 @@
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" 'EMERGENCY ROOM OR DOCTOR VISITS': [1, 1],\n",
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" 'COMPANY': ['MODERNA', 'PFIZER\\BIONTECH']\n",
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" },\n",
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" index = pd.Index(['037K20A', '025L20A']))\n",
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" index = pd.Index(['037K20A', '025L20A'], name='VAX_LOT'))\n",
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" assert_frame_equal(batchCodeTable, batchCodeTableExpected, check_dtype = False)\n",
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"\n",
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" def createDataFrame(self, index, columns, data, dtypes = {}):\n",
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