renaming a column
This commit is contained in:
@@ -1 +1 @@
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{"columns":["Batch","Total Number of Adverse Reaction Reports","Deaths","Disabilities","Life Threatening Illnesses","Severe reports (%)"],"data":[["3002188",1,0,0,1,null],["EX2405",1,0,1,0,null],["FL350",1,0,1,0,null],["FF3438",1,0,1,0,null],["FE8163",2,0,2,0,null],["FF4222",1,0,1,0,null],["EP2163 SERIAL 1",1,1,0,0,null],["FF4206",2,0,1,0,null],["NO BATCH NUMBER",33,4,0,0,null],["UNKNOWN",58,1,4,2,null],["FA7338",1,0,0,0,null],["FE3712",1,0,0,0,null],["ER7449",1,0,0,0,null],["3006325",1,0,0,0,null],["FG1657",1,0,0,0,null],["FG3712",1,0,0,0,null],["FG7372",1,0,0,0,null],["FH3219",1,0,0,0,null],["EJ8516",1,0,0,0,null],["FL3560",1,0,0,0,null],["FN0565",1,0,0,0,null],["UNSURE",1,0,0,0,null]]}
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{"columns":["Batch","Total Number of Adverse Reaction Reports","Deaths","Disabilities","Life Threatening Illnesses","Severe reports"],"data":[["3002188",1,0,0,1,null],["EX2405",1,0,1,0,null],["FL350",1,0,1,0,null],["FF3438",1,0,1,0,null],["FE8163",2,0,2,0,null],["FF4222",1,0,1,0,null],["EP2163 SERIAL 1",1,1,0,0,null],["FF4206",2,0,1,0,null],["NO BATCH NUMBER",33,4,0,0,null],["UNKNOWN",58,1,4,2,null],["FA7338",1,0,0,0,null],["FE3712",1,0,0,0,null],["ER7449",1,0,0,0,null],["3006325",1,0,0,0,null],["FG1657",1,0,0,0,null],["FG3712",1,0,0,0,null],["FG7372",1,0,0,0,null],["FH3219",1,0,0,0,null],["EJ8516",1,0,0,0,null],["FL3560",1,0,0,0,null],["FN0565",1,0,0,0,null],["UNSURE",1,0,0,0,null]]}
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@@ -19,7 +19,7 @@
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'Deaths': 2,
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'Disabilities': 3,
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'Life Threatening Illnesses': 4,
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'Severe reports (%)': 5,
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'Severe reports': 5,
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};
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return $('#batchCodeTable').DataTable(
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{
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@@ -43,7 +43,7 @@
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columnIndex['Deaths'],
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columnIndex['Disabilities'],
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columnIndex['Life Threatening Illnesses'],
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columnIndex['Severe reports (%)']
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columnIndex['Severe reports']
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]
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},
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{
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@@ -51,7 +51,7 @@
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const severeReports = parseFloat(data);
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return !isNaN(severeReports) ? severeReports.toFixed(2) + " %" : '';
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},
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targets: [columnIndex['Severe reports (%)']]
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targets: [columnIndex['Severe reports']]
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}
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]
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});
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@@ -112,7 +112,7 @@
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<th>Deaths</th>
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<th>Disabilities</th>
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<th>Life Threatening Illnesses</th>
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<th>Severe reports (%)</th>
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<th>Severe reports</th>
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</tr>
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</thead>
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</table>
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@@ -212,8 +212,8 @@
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" \"DISABLE_sum\": \"Disabilities\",\n",
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" \"SEVERE_sum\": \"Severities\"\n",
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" })\n",
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" summationTable['Severe reports (%)'] = summationTable['Severities'] / summationTable['Total Number of Adverse Reaction Reports'] * 100\n",
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" summationTable = summationTable[['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports (%)']]\n",
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" summationTable['Severe reports'] = summationTable['Severities'] / summationTable['Total Number of Adverse Reaction Reports'] * 100\n",
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" summationTable = summationTable[['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports']]\n",
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" return summationTable\n",
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"\n",
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" @staticmethod\n",
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@@ -392,13 +392,13 @@
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" def createInternationalLotTable(dataFrame):\n",
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" dataFrame = DataFrameFilter().filterByCovid19(dataFrame)\n",
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" internationalLotTable = InternationalLotTableFactory._createInternationalLotTable(dataFrame)\n",
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" return internationalLotTable.sort_values(by = 'Severe reports (%)', ascending = False)\n",
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" return internationalLotTable.sort_values(by = 'Severe reports', ascending = False)\n",
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"\n",
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" @staticmethod\n",
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" def createBatchCodeTableByCountry(dataFrame : pd.DataFrame, country):\n",
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" dataFrame = DataFrameFilter().filterByCovid19(dataFrame)\n",
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" batchCodeTable = InternationalLotTableFactory._createBatchCodeTableByCountry(dataFrame, country)\n",
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" return batchCodeTable.sort_values(by = 'Severe reports (%)', ascending = False)\n",
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" return batchCodeTable.sort_values(by = 'Severe reports', ascending = False)\n",
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"\n",
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" @staticmethod\n",
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" def _createInternationalLotTable(dataFrame):\n",
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@@ -1005,7 +1005,7 @@
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" 'Deaths': [2, 1],\n",
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" 'Disabilities': [1, 0],\n",
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" 'Life Threatening Illnesses': [1, 0],\n",
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" 'Severe reports (%)': [2/2 * 100, 1/1 * 100]\n",
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" 'Severe reports': [2/2 * 100, 1/1 * 100]\n",
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" },\n",
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" index = pd.Index(['1', '2'], dtype = \"string\", name = 'Dose')))\n",
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" \n",
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@@ -1036,7 +1036,7 @@
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" 'Deaths': [2, 1],\n",
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" 'Disabilities': [1, 0],\n",
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" 'Life Threatening Illnesses': [1, 0],\n",
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" 'Severe reports (%)': [2/2 * 100, 1/1 * 100]\n",
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" 'Severe reports': [2/2 * 100, 1/1 * 100]\n",
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" },\n",
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" index = pd.MultiIndex.from_tuples(\n",
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" [\n",
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@@ -1082,7 +1082,7 @@
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" assert_frame_equal(\n",
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" internationalLotTable,\n",
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" TestHelper.createDataFrame(\n",
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" columns = ['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports (%)'],\n",
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" columns = ['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports'],\n",
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" data = [ [2, 2, 1, 1, 2/2 * 100],\n",
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" [1, 1, 0, 0, 1/1 * 100],\n",
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" [2, 0, 0, 0, 0/2 * 100]],\n",
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@@ -1117,7 +1117,7 @@
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" assert_frame_equal(\n",
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" batchCodeTable,\n",
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" TestHelper.createDataFrame(\n",
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" columns = ['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports (%)'],\n",
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" columns = ['Total Number of Adverse Reaction Reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports'],\n",
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" data = [ [2, 1, 2, 2, 2/2 * 100],\n",
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" [1, 0, 0, 0, 0/1 * 100]],\n",
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" index = pd.Index(\n",
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@@ -1353,10 +1353,12 @@
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"outputs": [],
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"source": [
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"def createAndSaveAndDisplayBatchCodeTableByCountry(nonDomesticVaers, country, minADRsForLethality = None):\n",
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" # FK-TODO: add Lethality column\n",
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" # FK-TODO: add Company column\n",
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" batchCodeTable = InternationalLotTableFactory.createBatchCodeTableByCountry(nonDomesticVaers, country)\n",
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" batchCodeTable.index.set_names(\"Batch\", inplace = True)\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, 'Severe reports (%)'] = np.nan\n",
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" batchCodeTable.loc[batchCodeTable['Total Number of Adverse Reaction Reports'] < minADRsForLethality, 'Severe reports'] = np.nan\n",
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" IOUtils.saveDataFrame(batchCodeTable, '../data/' + country)\n",
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" display(country + \":\", batchCodeTable)\n",
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"\n",
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@@ -1374,6 +1376,7 @@
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"source": [
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"createAndSaveAndDisplayBatchCodeTablesByCountry(\n",
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" nonDomesticVaers,\n",
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" # FK-TODO: create BatchCodeTables for all available countries\n",
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" [\n",
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" 'United Kingdom',\n",
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" 'France',\n",
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@@ -8,6 +8,7 @@ FK-FIXME:
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FK-TODO:
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- rename project and html-page to VaccineAdverseEventInfo ?
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- move html pages to docs folder
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- publish all figures and tables (as interactive HTML-Pages?)
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- Vergleich Grippe mit Covid19:
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- https://www.bitchute.com/video/4HlIyBmOEJeY/
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