Pandas: Data Manipulation - isnull() function
isnull() function
The isnull() 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.isnull(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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