pandas replace empty string with nan
df = df.replace(r'^s*$', np.NaN, regex=True)pandas replace empty string with nan
df = df.replace(r'^s*$', np.NaN, regex=True)replace error with nan pandas
df['workclass'].replace('?', np.NaN)fill na with mode and mean python
cateogry_columns=df.select_dtypes(include=['object']).columns.tolist()
integer_columns=df.select_dtypes(include=['int64','float64']).columns.tolist()
for column in df:
if df[column].isnull().any():
if(column in cateogry_columns):
df[column]=df[column].fillna(df[column].mode()[0])
else:
df[column]=df[column].fillna(df[column].mean)Copyright © 2021 Codeinu
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