Informatics Practices
The fillna() can also fill individual missing values for different columns.
Python Pandas
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Answer
True
Reason — The fillna() function in pandas can be used to fill individual missing values for different columns. This can be done by passing a dictionary with column names as keys and the corresponding filling values as values to the fillna() function.
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