fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)pandas replace nan
data["Gender"].fillna("No Gender", inplace = True)how to fill nan values with mean in pandas
df.fillna(df.mean())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
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
