replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)how to replace nan with 0 in pandas
df['product']=df['product'].fillna(0)
df['context']=df['context'].fillna(0)
dfpandas replace null values with values from another column
#Python
#Col 1 = where you want the values replaced
#Col 2 = where you want to take the values from
df["Col 1"].fillna(df["Col 2"], inplace=True)replace 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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