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])fillna pandas inplace
When inplace = True , the data is modified in place, which means it will return nothing and the dataframe is now updated. When inplace = False , which is the default, then the operation is performed and it returns a copy of the object. You then need to save it to something.Copyright © 2021 Codeinu
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