Bright Tutorials Bright Tutorials
CBSE Class 12 Informatics Practices Question 57 of 101

Python Pandas — II — Question 12

Back to all questions
12
Question

Question 12

The fillna() can also fill individual missing values for different columns.

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.