pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)fillna with mean pandas
sub2['income'].fillna((sub2['income'].mean()), inplace=True)python fillna with mean in a dataframe
df["newColumName"] = df["originalColumnName"].fillna(df["originalColumnName"].mean())df.fillna(-999,inplace=True)
df2.replace(-999, np.nan, inplace=True)
df2.fillna(df2.mean())
EventId A B C
0 100000 0.91 124.711 2.666000
1 100001 0.91 124.711 -0.202838
2 100002 0.91 124.711 -0.202838
3 100003 0.91 124.711 -0.202838Copyright © 2021 Codeinu
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