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  * [ Input/output ](../io.html)
  * [ General functions ](../general_functions.html) __
    * [ pandas.melt ](pandas.melt.html)
    * [ pandas.pivot ](pandas.pivot.html)
    * [ pandas.pivot_table ](pandas.pivot_table.html)
    * [ pandas.crosstab ](pandas.crosstab.html)
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    * [ pandas.qcut ](pandas.qcut.html)
    * [ pandas.merge ](pandas.merge.html)
    * [ pandas.merge_ordered ](pandas.merge_ordered.html)
    * [ pandas.merge_asof ](pandas.merge_asof.html)
    * [ pandas.concat ](pandas.concat.html)
    * [ pandas.get_dummies ](pandas.get_dummies.html)
    * [ pandas.from_dummies ](pandas.from_dummies.html)
    * [ pandas.factorize ](pandas.factorize.html)
    * [ pandas.unique ](pandas.unique.html)
    * [ pandas.lreshape ](pandas.lreshape.html)
    * [ pandas.wide_to_long ](pandas.wide_to_long.html)
    * [ pandas.isna ](pandas.isna.html)
    * [ pandas.isnull ](pandas.isnull.html)
    * [ pandas.notna ](pandas.notna.html)
    * [ pandas.notnull ](pandas.notnull.html)
    * [ pandas.to_numeric ](pandas.to_numeric.html)
    * [ pandas.to_datetime ](pandas.to_datetime.html)
    * [ pandas.to_timedelta ](pandas.to_timedelta.html)
    * [ pandas.date_range ](pandas.date_range.html)
    * pandas.bdate_range 
    * [ pandas.period_range ](pandas.period_range.html)
    * [ pandas.timedelta_range ](pandas.timedelta_range.html)
    * [ pandas.infer_freq ](pandas.infer_freq.html)
    * [ pandas.interval_range ](pandas.interval_range.html)
    * [ pandas.eval ](pandas.eval.html)
    * [ pandas.tseries.api.guess_datetime_format ](pandas.tseries.api.guess_datetime_format.html)
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    * [ pandas.util.hash_pandas_object ](pandas.util.hash_pandas_object.html)
    * [ pandas.api.interchange.from_dataframe ](pandas.api.interchange.from_dataframe.html)
  * [ Series ](../series.html)
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  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
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  * pandas.bdate_range 

#  pandas.bdate_range  #

pandas.  bdate_range  (  _ start  =  None  _ , _ end  =  None  _ , _ periods
=  None  _ , _ freq  =  'B'  _ , _ tz  =  None  _ , _ normalize  =  True  _ ,
_ name  =  None  _ , _ weekmask  =  None  _ , _ holidays  =  None  _ , _
inclusive  =  'both'  _ , _ **  kwargs  _ )  [ [source]
](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/dat