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removing unused code

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frankknoll
2022-02-21 12:57:44 +01:00
parent 90c1359975
commit ee333f0d1f
1 changed files with 1 additions and 53 deletions
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54
src/HowBadIsMyBatch.ipynb
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@@ -304,18 +304,11 @@
" self.dataFrame = DataFrameFilter().filterByCovid19(dataFrame)\n",
" self.batchCodeTableByCountryFactory = BatchCodeTableByCountryFactory(dataFrame)\n",
"\n",
" def createInternationalLotTable(self):\n",
" internationalLotTable = self._createInternationalLotTable()\n",
" return internationalLotTable.sort_values(by = 'Severe reports', ascending = False)\n",
"\n",
" def createBatchCodeTableByCountry(self, country):\n",
" return self.batchCodeTableByCountryFactory.createBatchCodeTableByCountry(country)\n",
"\n",
" def createGlobalBatchCodeTable(self):\n",
" return self.createBatchCodeTableByCountry(None)\n",
"\n",
" def _createInternationalLotTable(self):\n",
" return SummationTableFactory.createSummationTableHavingSevereReportsColumn(self.dataFrame.groupby(self.dataFrame['COUNTRY']))\n"
" return self.createBatchCodeTableByCountry(None)\n"
]
},
{
@@ -564,43 +557,6 @@
"\n",
"class InternationalLotTableFactoryTest(unittest.TestCase):\n",
"\n",
" def test_createInternationalLotTable(self):\n",
" # Given\n",
" dataFrame = TestHelper.createDataFrame(\n",
" columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE', 'HOSPITAL', 'ER_VISIT', 'COUNTRY'],\n",
" data = [ [1, 0, 0, 'COVID19', 'MODERNA', '016M20A', '2', 'GBPFIZER INC2020486806', 0, 0, 'United Kingdom'],\n",
" [1, 0, 0, 'COVID19', 'MODERNA', '030L20A', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],\n",
" [1, 1, 1, 'COVID19', 'MODERNA', '030L20B', '1', 'FRMODERNATX, INC.MOD20224', 0, 0, 'France'],\n",
" [0, 0, 0, 'COVID19', 'MODERNA', '030L20B', '1', 'dummy', 0, 0, 'Unknown Country'],\n",
" [0, 0, 0, 'COVID19', 'MODERNA', '030L20B', '1', 123, 0, 0, 'Unknown Country']],\n",
" index = [\n",
" \"1048786\",\n",
" \"1048786\",\n",
" \"4711\",\n",
" \"0815\",\n",
" \"0816\"])\n",
" dataFrame = SevereColumnAdder.addSevereColumn(dataFrame)\n",
" internationalLotTableFactory = InternationalLotTableFactory(dataFrame)\n",
" \n",
" # When\n",
" internationalLotTable = internationalLotTableFactory.createInternationalLotTable()\n",
"\n",
" # Then\n",
" assert_frame_equal(\n",
" internationalLotTable,\n",
" TestHelper.createDataFrame(\n",
" columns = ['Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports', 'Lethality'],\n",
" data = [ [2, 2, 1, 1, 2/2 * 100, 2/2 * 100],\n",
" [1, 1, 0, 0, 1/1 * 100, 1/1 * 100],\n",
" [2, 0, 0, 0, 0/2 * 100, 0/2 * 100]],\n",
" index = pd.Index(\n",
" [\n",
" 'France',\n",
" 'United Kingdom',\n",
" 'Unknown Country'\n",
" ],\n",
" name = 'COUNTRY')))\n",
"\n",
" def test_createBatchCodeTableByCountry(self):\n",
" # Given\n",
" dataFrame = TestHelper.createDataFrame(\n",
@@ -845,14 +801,6 @@
" country = 'Global',\n",
" minADRsForLethality = minADRsForLethality)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "376b9193",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {