francois/HowBadIsMyBatch
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frankknoll
2022-02-04 09:52:01 +01:00
parent c41459908e
commit f0f089fcea
2 changed files with 4 additions and 3 deletions
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6
HowBadIsMyBatch.ipynb
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@@ -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",

1
help.txt
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@@ -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