Pandas.date_range() Syntax
Syntax: pandas.date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs)
Parameters:
start : Left bound for generating dates.
end : Right bound for generating dates.
periods : Number of periods to generate.
freq : Frequency strings can have multiples, e.g. ‘5H’. See here for a list of frequency aliases.
tz : Time zone name for returning localized DatetimeIndex. By default, the resulting DatetimeIndex is timezone-naive.
normalize : Normalize start/end dates to midnight before generating date range.
name : Name of the resulting DatetimeIndex.
closed : Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None, the default).
Returns: DatetimeIndex
Python | pandas.date_range() method
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages that makes importing and analyzing data much easier.
pandas.date_range() is one of the general functions in Pandas which is used to return a fixed frequency DatetimeIndex.