How to use the hvplot.post_patch function in hvplot

_patch_plot = lambda self: hvPlot(self)
    _patch_plot.__doc__ = hvPlot.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(intake.source.base.DataSource, name, patch_property)
    post_patch(extension, logo)

try:
    import intake.plotting # noqa
    patch()
except:
    import intake
    if LooseVersion(intake.__version__) <= '0.1.5':
        patch()
        patch(name='plot')
    else:
        post_patch(extension='bokeh', logo=False)

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

    try:
        import xarray as xr
    except:
        raise ImportError('Could not patch plotting API onto xarray. '
                          'xarray could not be imported.')

    xr.register_dataset_accessor(name)(hvPlot)
    xr.register_dataarray_accessor(name)(hvPlot)

    post_patch(extension, logo)

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)

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)

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):
    try:
        import intake
    except:
        raise ImportError('Could not patch plotting API onto intake. '
                          'intake could not be imported.')

    _patch_plot = lambda self: hvPlot(self)
    _patch_plot.__doc__ = hvPlot.__call__.__doc__
    patch_property = property(_patch_plot)
    setattr(intake.source.base.DataSource, name, patch_property)
    post_patch(extension, logo)