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pandas.bdate_range() function in Python

  • Last Updated : 14 Aug, 2020

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,)

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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 :




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