parameters: (self, func, *args, **kwargs)
return_statement: return com._pipe(self, func, *args, **kwargs)
docstring: Apply ``func(self, *args, **kwargs)``, and return the result.
  
          .. versionadded:: 0.24.0
  
          Parameters
          ----------
          func : function
              Function to apply to the Styler.  Alternatively, a
              ``(callable, keyword)`` tuple where ``keyword`` is a string
              indicating the keyword of ``callable`` that expects the Styler.
          *args, **kwargs :
              Arguments passed to `func`.
  
          Returns
          -------
          object :
              The value returned by ``func``.
  
          See Also
          --------
          DataFrame.pipe : Analogous method for DataFrame.
          Styler.apply : Apply a function row-wise, column-wise, or table-wise to
              modify the dataframe's styling.
  
          Notes
          -----
          Like :meth:`DataFrame.pipe`, this method can simplify the
          application of several user-defined functions to a styler.  Instead
          of writing:
  
          .. code-block:: python
  
              f(g(df.style.set_precision(3), arg1=a), arg2=b, arg3=c)
  
          users can write:
  
          .. code-block:: python
  
              (df.style.set_precision(3)
                 .pipe(g, arg1=a)
                 .pipe(f, arg2=b, arg3=c))
  
          In particular, this allows users to define functions that take a
          styler object, along with other parameters, and return the styler after
          making styling changes (such as calling :meth:`Styler.apply` or
          :meth:`Styler.set_properties`).  Using ``.pipe``, these user-defined
          style "transformations" can be interleaved with calls to the built-in
          Styler interface.
  
          Examples
          --------
          >>> def format_conversion(styler):
          ...     return (styler.set_properties(**{'text-align': 'right'})
          ...                   .format({'conversion': '{:.1%}'}))
  
          The user-defined ``format_conversion`` function above can be called
          within a sequence of other style modifications:
  
          >>> df = pd.DataFrame({'trial': list(range(5)),
          ...                    'conversion': [0.75, 0.85, np.nan, 0.7, 0.72]})
          >>> (df.style
          ...    .highlight_min(subset=['conversion'], color='yellow')
          ...    .pipe(format_conversion)
          ...    .set_caption("Results with minimum conversion highlighted."))
docstring_summary: Apply ``func(self, *args, **kwargs)``, and return the result.
docstring_tokens: Apply func ( self * args ** kwargs ) and return the result .
function: def pipe(self, func, *args, **kwargs):
          """
          Apply ``func(self, *args, **kwargs)``, and return the result.
  
          .. versionadded:: 0.24.0
  
          Parameters
          ----------
          func : function
              Function to apply to the Styler.  Alternatively, a
              ``(callable, keyword)`` tuple where ``keyword`` is a string
              indicating the keyword of ``callable`` that expects the Styler.
          *args, **kwargs :
              Arguments passed to `func`.
  
          Returns
          -------
          object :
              The value returned by ``func``.
  
          See Also
          --------
          DataFrame.pipe : Analogous method for DataFrame.
          Styler.apply : Apply a function row-wise, column-wise, or table-wise to
              modify the dataframe's styling.
  
          Notes
          -----
          Like :meth:`DataFrame.pipe`, this method can simplify the
          application of several user-defined functions to a styler.  Instead
          of writing:
  
          .. code-block:: python
  
              f(g(df.style.set_precision(3), arg1=a), arg2=b, arg3=c)
  
          users can write:
  
          .. code-block:: python
  
              (df.style.set_precision(3)
                 .pipe(g, arg1=a)
                 .pipe(f, arg2=b, arg3=c))
  
          In particular, this allows users to define functions that take a
          styler object, along with other parameters, and return the styler after
          making styling changes (such as calling :meth:`Styler.apply` or
          :meth:`Styler.set_properties`).  Using ``.pipe``, these user-defined
          style "transformations" can be interleaved with calls to the built-in
          Styler interface.
  
          Examples
          --------
          >>> def format_conversion(styler):
          ...     return (styler.set_properties(**{'text-align': 'right'})
          ...                   .format({'conversion': '{:.1%}'}))
  
          The user-defined ``format_conversion`` function above can be called
          within a sequence of other style modifications:
  
          >>> df = pd.DataFrame({'trial': list(range(5)),
          ...                    'conversion': [0.75, 0.85, np.nan, 0.7, 0.72]})
          >>> (df.style
          ...    .highlight_min(subset=['conversion'], color='yellow')
          ...    .pipe(format_conversion)
          ...    .set_caption("Results with minimum conversion highlighted."))
          """
          return com._pipe(self, func, *args, **kwargs)
function_tokens: def pipe ( self , func , * args , * * kwargs ) : return com . _pipe ( self , func , * args , * * kwargs )