35 lines
890 B
Python
35 lines
890 B
Python
import pandas as pd
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VARIABLES_TO_TRANSLATE = {
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"Gebruikersnaam": "username",
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"Geslacht": "gender",
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"Geboortedatum": "date_of_birth",
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}
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filenames = snakemake.input["data"]
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baseline_dfs = []
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for fn in filenames:
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baseline_dfs.append(pd.read_csv(fn,
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parse_dates=["Geboortedatum"],
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infer_datetime_format=True,
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cache_dates=True,
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))
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baseline = (
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pd.concat(baseline_dfs, join="inner")
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.reset_index()
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.drop(columns="index")
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)
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baseline.rename(columns=VARIABLES_TO_TRANSLATE, copy=False, inplace=True)
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now = pd.Timestamp("now")
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baseline = baseline.assign(
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age=lambda x: (now - x.date_of_birth).dt.days / 365.25245,
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)
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baseline.to_csv(snakemake.output[0],
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index=False,
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encoding="utf-8",)
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