How to use the hvplot.hvPlotTabular.__call__.__doc__ function in hvplot

def patch(name='hvplot', extension='bokeh', logo=False):
    from . import hvPlotTabular, post_patch

    try:
        import dask.dataframe as dd
    except:
        raise ImportError('Could not patch plotting API onto dask. '
                          'Dask could not be imported.')
    _patch_plot = lambda self: hvPlotTabular(self)
    _patch_plot.__doc__ = hvPlotTabular.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(dd.DataFrame, name, patch_property)
    setattr(dd.Series, name, patch_property)

    post_patch(extension, logo)

def patch(name='hvplot', extension='bokeh', logo=False):
    from . import hvPlotTabular, post_patch

    try:
        import pandas as pd
    except:
        raise ImportError('Could not patch plotting API onto pandas. '
                          'Pandas could not be imported.')
    _patch_plot = lambda self: hvPlotTabular(self)
    _patch_plot.__doc__ = hvPlotTabular.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(pd.DataFrame, name, patch_property)
    setattr(pd.Series, name, patch_property)

    post_patch(extension, logo)

def patch(name='hvplot', extension='bokeh', logo=False):
    from . import hvPlotTabular, post_patch

    try:
        import streamz.dataframe as sdf
    except ImportError:
        raise ImportError('Could not patch plotting API onto streamz. '
                          'Streamz could not be imported.')
    _patch_plot = lambda self: hvPlotTabular(self)
    _patch_plot.__doc__ = hvPlotTabular.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(sdf.DataFrame, name, patch_property)
    setattr(sdf.DataFrames, name, patch_property)
    setattr(sdf.Series, name, patch_property)
    setattr(sdf.Seriess, name, patch_property)

    post_patch(extension, logo)