From f0f089fcea9b8915add49d242447913ab655b291 Mon Sep 17 00:00:00 2001 From: frankknoll Date: Fri, 4 Feb 2022 09:52:01 +0100 Subject: [PATCH] formating --- HowBadIsMyBatch.ipynb | 6 +++--- help.txt | 1 + 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb index 282dabdbb41..70d5951fe28 100644 --- a/HowBadIsMyBatch.ipynb +++ b/HowBadIsMyBatch.ipynb @@ -97,7 +97,7 @@ "class DataFrameFilter:\n", " \n", " def __init__(self, dataFrame):\n", - " self.dataFrame = dataFrame \n", + " self.dataFrame = dataFrame\n", "\n", " def filterBy(self, manufacturer = None, dose = None):\n", " return self.dataFrame[self._isCovid19() & self._isManufacturer(manufacturer) & self._isDose(dose)]\n", @@ -330,14 +330,14 @@ " 'VAERSDATA': self.createDataFrame(\n", " columns = ['DIED', 'L_THREAT', 'DISABLE', 'HOSPITAL', 'ER_VISIT'],\n", " data = [ ['Y', 'Y', np.NaN, 'Y', 'Y'],\n", - " [np.NaN, np.NaN, 'Y', np.NaN, 'Y']],\n", + " [np.NaN, np.NaN, 'Y', np.NaN, 'Y']],\n", " index = [\n", " \"0916600\",\n", " \"0916601\"]),\n", " 'VAERSVAX': self.createDataFrame(\n", " columns = ['VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES'],\n", " data = [ ['COVID19', 'MODERNA', '037K20A', '1'],\n", - " ['COVID19', 'PFIZER\\BIONTECH', '025L20A', '1']],\n", + " ['COVID19', 'PFIZER\\BIONTECH', '025L20A', '1']],\n", " index = [\n", " \"0916600\",\n", " \"0916601\"],\n", diff --git a/help.txt b/help.txt index 114f27e31ef..e4258f023c7 100644 --- a/help.txt +++ b/help.txt @@ -6,6 +6,7 @@ get VAERS data: FK-TODO: - https://www.howbadismybatch.com/firstsecond.html nachprogrammieren - VAX_LOT-Spalte normalisieren, d.h. mindestens toUpperCase() darauf anwenden +- handle VAX_DOSE_SERIES = 'UNK' or 'N/A' like '1'? - Format des jeweiligen Herstellers berücksichtigen und "verschmutzte" Einträge säubern, denn sie stellen alle dieselbe Charge dar: 039k20a MOD039K20A