Pandas: Data Manipulation - interval_range() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

interval_range() function

The interval_range() function is used to concatenate pandas objects along a particular axis with optional set logic along the other axes.

Syntax:

pandas.interval_range(start=None, end=None, periods=None, freq=None, name=None, closed='right')

Return a fixed frequency IntervalIndex

Parameters:

Name	Description	Type	Default Value	Required / Optional
start	Left bound for generating intervals	numeric or datetime-like	None	Required
end	Right bound for generating intervals	numeric or datetime-like	None	Required
periods	Number of periods to generate	integer	None	Required
freq	The length of each interval. Must be consistent with the type of start and end, e.g. 2 for numeric, or ‘5H’ for datetime-like. Default is 1 for numeric and ‘D’ for datetime-like.	numeric, string, or DateOffset	None	Required
name	Name of the resulting IntervalIndex	string	None	Required
closed	Whether the intervals are closed on the left-side, right-side, both or neither.	{‘left’, ‘right’, ‘both’, ‘neither’}	‘right’	Required

Returns: rng- IntervalIndex

Notes:

Of the four parameters start, end, periods, and freq, exactly three must be specified. If freq is omitted, the resulting IntervalIndex will have periods linearly spaced elements between start and end, inclusively.

Example:

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