Pandas Series: rpow() function
Exponential power of Pandas series
The rpow() function is used to get exponential power of series and other, element-wise (binary operator rpow).
Syntax:
Series.rpow(self, other, level=None, fill_value=None, axis=0)[source]
Parameters:
| Name | Description | Type/Default Value | Required / Optional |
|---|---|---|---|
| other | Series or scalar value | Required | |
| fill_value | Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result will be missing. | None or float value Default Value: None (NaN) |
Required |
| level | Broadcast across a level, matching Index values on the passed MultiIndex level. | int or name | Required |
Returns: Series
The result of the operation.
Example:
Download the above Notebook from here.
Previous: Modulo of Pandas series and other
Next: Combine the Series with a Series in Pandas
- New Content published on w3resource :
- Python Numpy exercises
- Python GeoPy Package exercises
- Python Pandas exercises
- Python nltk exercises
- Python BeautifulSoup exercises
- Form Template
- Composer - PHP Package Manager
- PHPUnit - PHP Testing
- Laravel - PHP Framework
- Angular - JavaScript Framework
- React - JavaScript Library
- Vue - JavaScript Framework
- Jest - JavaScript Testing Framework