Pandas: Data Manipulation - date_range() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

date_range() function

The date_range() function is usede to get a fixed frequency DatetimeIndex.

Syntax:

pandas.date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs)

Parameters:

Name	Description	Type / Default Value	Required / Optional
start	Left bound for generating dates.	str or datetime-like	Optional
end	Right bound for generating dates.	str or datetime-like	Optional
periods	Number of periods to generate.	integer	Optional
freq	Frequency strings can have multiples, e.g. ‘5H’.	str or DateOffset Default Value: 'D'	Required
tz	Time zone name for returning localized DatetimeIndex, for example ‘Asia/Hong_Kong’.	str or tzinfo Default Value: The resulting DatetimeIndex is timezone-naive.	Optional
normalize	Normalize start/end dates to midnight before generating date range.	bool Default Value : False.	Required
name	Name of the resulting DatetimeIndex.	str Default Value: None	Required
closed	Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides.	{None, ‘left’, ‘right’} Default Value: None	Optional
**kwargs	For compatibility. Has no effect on the result.

Returns: rng - DatetimeIndex

Example:

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