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).
Syntax:
pandas.notna(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 valid.
Example:
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