_categories ](pandas.Series.cat.reorder_categories.html)
    * [ pandas.Series.cat.add_categories ](pandas.Series.cat.add_categories.html)
    * [ pandas.Series.cat.remove_categories ](pandas.Series.cat.remove_categories.html)
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    * [ pandas.Series.cat.set_categories ](pandas.Series.cat.set_categories.html)
    * [ pandas.Series.cat.as_ordered ](pandas.Series.cat.as_ordered.html)
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    * [ pandas.Series.sparse.npoints ](pandas.Series.sparse.npoints.html)
    * [ pandas.Series.sparse.density ](pandas.Series.sparse.density.html)
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    * [ pandas.Series.sparse.from_coo ](pandas.Series.sparse.from_coo.html)
    * [ pandas.Series.sparse.to_coo ](pandas.Series.sparse.to_coo.html)
    * [ pandas.Series.list.flatten ](pandas.Series.list.flatten.html)
    * [ pandas.Series.list.len ](pandas.Series.list.len.html)
    * [ pandas.Series.list.__getitem__ ](pandas.Series.list.__getitem__.html)
    * [ pandas.Series.struct.dtypes ](pandas.Series.struct.dtypes.html)
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    * [ pandas.Series.to_pickle ](pandas.Series.to_pickle.html)
    * [ pandas.Series.to_csv ](pandas.Series.to_csv.html)
    * [ pandas.Series.to_dict ](pandas.Series.to_dict.html)
    * [ pandas.Series.to_excel ](pandas.Series.to_excel.html)
    * [ pandas.Series.to_frame ](pandas.Series.to_frame.html)
    * [ pandas.Series.to_xarray ](pandas.Series.to_xarray.html)
    * [ pandas.Series.to_hdf ](pandas.Series.to_hdf.html)
    * [ pandas.Series.to_sql ](pandas.Series.to_sql.html)
    * [ pandas.Series.to_json ](pandas.Series.to_json.html)
    * [ pandas.Series.to_string ](pandas.Series.to_string.html)
    * [ pandas.Series.to_clipboard ](pandas.Series.to_clipboard.html)
    * [ pandas.Series.to_latex ](pandas.Series.to_latex.html)
    * [ pandas.Series.to_markdown ](pandas.Series.to_markdown.html)
  * [ DataFrame ](../frame.html)
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  * [ Options and settings ](../options.html)
  * [ Extensions ](../extensions.html)
  * [ Testing ](../testing.html)
  * [ Missing values ](../missing_value.html)

  * [ __ ](../../index.html)
  * [ API reference ](../index.html)
  * [ Series ](../series.html)
  * pandas.Serie... 

#  pandas.Series.str.match  #

Series.str.  match  (  _ pat  _ , _ case  =  True  _ , _ flags  =  0  _ , _ na
=  None  _ )  [ [source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/strings/accessor.py#L1338-L1377) #

    

Determine if each string starts with a match of a regular expression.

Parameters  :