Python

df['DataFrame Column'] = df['DataFrame Column'].fillna(0)

df.replace(np.nan,0)

df.fillna('', inplace=True)

df['workclass'].replace('?', np.NaN)

data['horsepower'].replace(to_replace='?' , value = np.nan,inplace = True)
data['horsepower'].unique()

df = df.where(pd.notnull(df), None)

df['salary'] = df['salary'].fillna(df['salary'].mode()[0])

#nan replace mode in string 
df['Brand'].fillna(df['Brand'].mode()[0], inplace=True)

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