Pandas - No difference between Pandas isna() function and isnull()

The isna() and isnull() functions in Pandas are essentially identical in functionality. Both are used to detect missing or NA (Not Available) values in a DataFrame or Series. They return the same result and are often interchangeable.

 

Key Takeaway:

• No functional difference between the two.

• The choice to use one over the other is just a matter of preference or convention.

• isna() is more common in NumPy and other libraries, while isnull() is historically more common in Pandas, but both are perfectly valid.