replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)replace nan in pandas
df['DataFrame Column'] = df['DataFrame Column'].fillna(0)pandas replace empty string with nan
df = df.replace(r'^s*$', np.NaN, regex=True)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)python fillna with mode
data['Native Country'] = data['Native Country'].fillna(data['Native Country'].mode()[0])Copyright © 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
