def process_transform(transform, ax=None, data=None, return_trans=False,
                          force_trans=None):
        """Process the transform and convert data to figure or data coordinates

        Parameters
        ----------
        transform : matplotlib Transform object
            The transform applied to the data
        ax : matplotlib Axes object (optional)
            The axes the data is associated with
        data : ndarray (optional)
            The array of data to be transformed.
        return_trans : bool (optional)
            If true, return the final transform of the data
        force_trans : matplotlib.transform instance (optional)
            If supplied, first force the data to this transform

        Returns
        -------
        code : string
            Code is either "data", "axes", "figure", or "display", indicating
            the type of coordinates output.
        transform : matplotlib transform
            the transform used to map input data to output data.
            Returned only if return_trans is True
        new_data : ndarray
            Data transformed to match the given coordinate code.
            Returned only if data is specified
        """
        if isinstance(transform, transforms.BlendedGenericTransform):
            warnings.warn("Blended transforms not yet supported. "
                          "Zoom behavior may not work as expected.")

        if force_trans is not None:
            if data is not None:
                data = (transform - force_trans).transform(data)
            transform = force_trans

        code = "display"
        if ax is not None:
            for (c, trans) in [("data", ax.transData),
                               ("axes", ax.transAxes),
                               ("figure", ax.figure.transFigure),
                               ("display", transforms.IdentityTransform())]:
                if transform.contains_branch(trans):
                    code, transform = (c, transform - trans)
                    break

        if data is not None:
            if return_trans:
                return code, transform.transform(data), transform
            else:
                return code, transform.transform(data)
        else:
            if return_trans:
                return code, transform
            else:
                return code
def process_transform ( transform , ax = None , data = None , return_trans = False , force_trans = None ) : if isinstance ( transform , transforms . BlendedGenericTransform ) : warnings . warn ( "Blended transforms not yet supported. " "Zoom behavior may not work as expected." ) if force_trans is not None : if data is not None : data = ( transform - force_trans ) . transform ( data ) transform = force_trans code = "display" if ax is not None : for ( c , trans ) in [ ( "data" , ax . transData ) , ( "axes" , ax . transAxes ) , ( "figure" , ax . figure . transFigure ) , ( "display" , transforms . IdentityTransform ( ) ) ] : if transform . contains_branch ( trans ) : code , transform = ( c , transform - trans ) break if data is not None : if return_trans : return code , transform . transform ( data ) , transform else : return code , transform . transform ( data ) else : if return_trans : return code , transform else : return code
Process the transform and convert data to figure or data coordinates

        Parameters
        ----------
        transform : matplotlib Transform object
            The transform applied to the data
        ax : matplotlib Axes object (optional)
            The axes the data is associated with
        data : ndarray (optional)
            The array of data to be transformed.
        return_trans : bool (optional)
            If true, return the final transform of the data
        force_trans : matplotlib.transform instance (optional)
            If supplied, first force the data to this transform

        Returns
        -------
        code : string
            Code is either "data", "axes", "figure", or "display", indicating
            the type of coordinates output.
        transform : matplotlib transform
            the transform used to map input data to output data.
            Returned only if return_trans is True
        new_data : ndarray
            Data transformed to match the given coordinate code.
            Returned only if data is specified