replace nan
df['salary'] = df['salary'].fillna(df['salary'].mode()[0])replace nan
df['salary'] = df['salary'].fillna(df['salary'].mode()[0])python list replace nan with 0
mylist = [0 if x != x else x for x in mylist]Copyright © 2021 Codeinu
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