replace nan in pandas column with mode and printing it

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Renata
17 Jul 2016
1def exercise4(df):
2    df1 = df.select_dtypes(np.number)
3    df2 = df.select_dtypes(exclude = 'float')
4    mode = df2.mode()
5    df3 = df1.fillna(df.mean())
6    df4 = df2.fillna(mode.iloc[0,:])
7    new_df = [df3,df4]
8    df5 = pd.concat(new_df,axis=1)
9    new_cols = list(df.columns)
10    df6 = df5[new_cols]
11    return df6
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