drop values in column with single frequency
counts_col2 = df.groupby("Col2")["Col2"].transform(len)
counts_col3 = df.groupby("Col3")["Col3"].transform(len)
mask = (counts_col2 > 5) & (counts_col3 > 5)
df[mask]drop values in column with single frequency
counts_col2 = df.groupby("Col2")["Col2"].transform(len)
counts_col3 = df.groupby("Col3")["Col3"].transform(len)
mask = (counts_col2 > 5) & (counts_col3 > 5)
df[mask]Copyright © 2021 Codeinu
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