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Pandas: Data Manipulation - isna() function

isna() function

The isna() function is used to detect missing values for an array-like object.

This function takes a scalar or array-like object and indicates whether values are missing (NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike).

Syntax:

pandas.isna(obj)

Parameters:

Name Description Type Required / Optional
obj Object to check for null or missing values. scalar or array-like Required

Returns: bool or array-like of bool
For scalar input, returns a scalar boolean. For array input, returns an array of boolean indicating whether each corresponding element is missing.

Example:


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