This method is used to return a fixed frequency DatetimeIndex, with the business day as the default frequency.
Syntax : pandas.bdate_range(start=None, end=None, periods=None, freq=’B’, tz=None, normalize=True, name=None, weekmask=None, holidays=None, closed=None, **kwargs,)
Parameters :
- start : string or datetime-like, default None, Left bound for generating dates.
- end : string or datetime-like, default None, Right bound for generating dates.
- periods : integer, default None, Number of periods to generate.
- freq : string or DateOffset, default ‘B’ (business daily), Frequency strings can have multiples, e.g. ‘5H’.
- tz : string or None, Time zone name for returning localized DatetimeIndex, for example Asia/Beijing.
Below is the implementation of the above method with some examples :
Example 1 :
Python3
# importing packages import pandas # using pandas.bdate_range() method print (pandas.bdate_range(start = '8/1/2020' , end = '8/20/2020' )) |
Output:
Example 2 :
Python3
# importing packages import pandas # using pandas.bdate_range() method print (pandas.bdate_range(start = '8/1/2020' , end = '8/5/2020' , freq = '5H' )) |
Output :