Answers for "df.fillna pandas"

pandas replace nan

data["Gender"].fillna("No Gender", inplace = True)

fillna with mean pandas

sub2['income'].fillna((sub2['income'].mean()), inplace=True)

dataframe fillna with 0

df['column'] = df['column'].fillna(0)

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 -0.202838