replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)python dataframe replace nan with 0
In [7]: df
Out[7]:
0 1
0 NaN NaN
1 -0.494375 0.570994
2 NaN NaN
3 1.876360 -0.229738
4 NaN NaN
In [8]: df.fillna(0)
Out[8]:
0 1
0 0.000000 0.000000
1 -0.494375 0.570994
2 0.000000 0.000000
3 1.876360 -0.229738
4 0.000000 0.000000replace nan in pandas column with mode and printing it
def exercise4(df):
df1 = df.select_dtypes(np.number)
df2 = df.select_dtypes(exclude = 'float')
mode = df2.mode()
df3 = df1.fillna(df.mean())
df4 = df2.fillna(mode.iloc[0,:])
new_df = [df3,df4]
df5 = pd.concat(new_df,axis=1)
new_cols = list(df.columns)
df6 = df5[new_cols]
return df6Copyright © 2021 Codeinu
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