Pandas: Data Manipulation - notna() function

notna() function

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

This function takes a scalar or array-like object and indicates whether values are valid (not missing, which is NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike).




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 valid.


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