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refactoring

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frankknoll
2022-01-28 20:41:30 +01:00
parent 08ad895d3a
commit a40f3fe038
1 changed files with 37 additions and 25 deletions
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HowBadIsMyBatch.ipynb
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@@ -91,53 +91,65 @@
"source": [
"from pandas.testing import assert_frame_equal\n",
"\n",
"\n",
"class BatchCodeTableTest(unittest.TestCase):\n",
"\n",
" def test_createBatchCodeTable2(self):\n",
" vaersData2021 = pd.DataFrame(columns = ['DIED', 'L_THREAT', 'DISABLE'], index = ['0916600', '0916601'])\n",
" vaersData2021.loc['0916600'] = pd.Series({'DIED': 'Y', 'L_THREAT': np.NaN, 'DISABLE': np.NaN})\n",
" vaersData2021.loc['0916601'] = pd.Series({'DIED': np.NaN, 'L_THREAT': np.NaN, 'DISABLE': 'Y'})\n",
"\n",
" vaersVax2021 = pd.DataFrame(columns = ['VAX_TYPE', 'VAX_MANU', 'VAX_LOT'], index = ['0916600', '0916601'])\n",
" vaersVax2021.loc['0916600'] = pd.Series({'VAX_TYPE': 'COVID19', 'VAX_MANU': 'MODERNA', 'VAX_LOT': '037K20A'})\n",
" vaersVax2021.loc['0916601'] = pd.Series({'VAX_TYPE': 'COVID19', 'VAX_MANU': 'MODERNA', 'VAX_LOT': '025L20A'})\n",
"\n",
" vaersData2022 = pd.DataFrame(columns = ['DIED', 'L_THREAT', 'DISABLE'], index = ['1996873', '1996874'])\n",
" vaersData2022.loc['1996873'] = pd.Series({'DIED': np.NaN, 'L_THREAT': np.NaN, 'DISABLE': np.NaN})\n",
" vaersData2022.loc['1996874'] = pd.Series({'DIED': np.NaN, 'L_THREAT': np.NaN, 'DISABLE': 'Y'})\n",
"\n",
" vaersVax2022 = pd.DataFrame(columns = ['VAX_TYPE', 'VAX_MANU', 'VAX_LOT'], index = ['1996873', '1996874'])\n",
" vaersVax2022.loc['1996873'] = pd.Series({'VAX_TYPE': 'HPV9', 'VAX_MANU': 'MERCK & CO. INC.', 'VAX_LOT': 'R017624'})\n",
" vaersVax2022.loc['1996874'] = pd.Series({'VAX_TYPE': 'COVID19', 'VAX_MANU': 'MODERNA', 'VAX_LOT': '025L20A'})\n",
" \n",
" dataFrame = _createDataFrame(\n",
" [\n",
" {'VAERSDATA': vaersData2021, 'VAERSVAX': vaersVax2021},\n",
" {'VAERSDATA': vaersData2022, 'VAERSVAX': vaersVax2022}\n",
" {\n",
" 'VAERSDATA': self.createDataFrame(\n",
" [ 'DIED', 'L_THREAT', 'DISABLE'],\n",
" {\n",
" '0916600': ['Y', np.NaN, np.NaN],\n",
" '0916601': [np.NaN, np.NaN, 'Y']\n",
" }),\n",
" 'VAERSVAX': self.createDataFrame(\n",
" [ 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT'],\n",
" {\n",
" '0916600': ['COVID19', 'MODERNA', '037K20A'],\n",
" '0916601': ['COVID19', 'MODERNA', '025L20A']\n",
" })\n",
" },\n",
" {\n",
" 'VAERSDATA': self.createDataFrame(\n",
" [ 'DIED', 'L_THREAT', 'DISABLE'],\n",
" {\n",
" '1996873': [np.NaN, np.NaN, np.NaN],\n",
" '1996874': [np.NaN, np.NaN, 'Y']\n",
" }),\n",
" 'VAERSVAX': self.createDataFrame(\n",
" [ 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT'],\n",
" {\n",
" '1996873': ['HPV9', 'MERCK & CO. INC.', 'R017624'],\n",
" '1996874': ['COVID19', 'MODERNA', '025L20A']\n",
" })\n",
" }\n",
" ],\n",
" \"MODERNA\")\n",
"\n",
" self._test_createBatchCodeTable(dataFrame);\n",
" \n",
"\n",
" def test_createBatchCodeTable(self):\n",
" self._test_createBatchCodeTable(createDataFrame(\"test/VAERS\", \"MODERNA\"));\n",
"\n",
" def _test_createBatchCodeTable(self, dataFrame):\n",
" # When\n",
" batchCodeTable = createBatchCodeTable(dataFrame)\n",
" batchCodeTable=createBatchCodeTable(dataFrame)\n",
"\n",
" # Then\n",
" batchCodeTableExpected = pd.DataFrame(\n",
" data = {\n",
" batchCodeTableExpected=pd.DataFrame(\n",
" data={\n",
" 'ADRs': [2, 1],\n",
" 'DEATHS': [0, 1],\n",
" 'DISABILITIES': [2, 0],\n",
" 'LIFE THREATENING ILLNESSES': [0, 0]\n",
" },\n",
" index = pd.MultiIndex.from_arrays([['025L20A', '037K20A']], names = ('VAX_LOT',)))\n",
" assert_frame_equal(batchCodeTable, batchCodeTableExpected, check_dtype = False)\n",
" index=pd.MultiIndex.from_arrays([['025L20A', '037K20A']], names = ('VAX_LOT',)))\n",
" assert_frame_equal(batchCodeTable, batchCodeTableExpected, check_dtype=False)\n",
"\n",
" "
" def createDataFrame(self, columns, data):\n",
" return pd.DataFrame.from_dict(data, columns = columns, orient = 'index')\n"
]
},
{