I want to drop all rows that don't have in column Value (dtype is float64) a 0 or NaN
df = df.drop(df[(df["Value"] != 0) & df["Value"].notna()].index, inplace=True)
But when I do it this way my df turns out being a NoneType.
What's the issue?
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Natoshi SakiSaki
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