Pandas DataFrame: squeeze() function
DataFrame - squeeze() function
The squeeze() function is used to squeeze 1 dimensional axis objects into scalars.
Series or DataFrames with a single element are squeezed to a scalar. DataFrames with a single column or a single row are squeezed to a Series. Otherwise the object is unchanged.
Syntax:
DataFrame.squeeze(self, axis=None)
Parameters:
| Name | Description | Type/Default Value | Required / Optional |
|---|---|---|---|
| axis | A specific axis to squeeze. By default, all length-1 axes are squeezed. | {0 or ‘index’, 1 or ‘columns’, None} Default Value: None |
Required |
This method is most useful when you don’t know if your object is a Series or DataFrame, but you do know it has just a single column. In that case you can safely call squeeze to ensure you have a Series.
Returns: DataFrame, Series, or scalar
The projection after squeezing axis or all the axes.
Example:
Download the Pandas DataFrame Notebooks from here.
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