Pandas: Data Manipulation - period_range() function
period_range() function
The period_range() function is used to concatenate pandas objects along a particular axis with optional set logic along the other axes.
Syntax:
pandas.period_range(start=None, end=None, periods=None, freq=None, name=None)
Parameters:
Name | Description | Type / Default Value | Required / Optional |
---|---|---|---|
start | Left bound for generating periods | string or period-like Default Value: None |
Required |
end | Right bound for generating periods | string or period-like Default Value: None |
Required |
periods | Number of periods to generate. | integer Default Value: None |
Required |
freq | Frequency alias. By default the freq is taken from start or end if those are Period objects. Otherwise, the default is "D" for daily frequency. | string or DateOffset | Optional |
name | Name of the resulting PeriodIndex | string Default Value: None |
Required |
Returns: prng - PeriodIndex
Notes
Of the three parameters: start, end, and periods, exactly two must be specified.
Example:
Download the Pandas DataFrame Notebooks from here.
Previous: bdate_range() function
Next: timedelta_range() function
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/pandas/period_range.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics