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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def plot(self):
 """ Returns a hvPlot object to provide a high-level plotting API. To display in a notebook, be sure to run ``intake.output_notebook()`` first. """

        try:
            from hvplot import hvPlot
        except ImportError:
            raise ImportError("The intake plotting API requires hvplot."
                              "hvplot may be installed with:\n\n"
                              "`conda install -c pyviz hvplot` or "
                              "`pip install hvplot`.")
        metadata = self.metadata.get('plot', {})
        fields = self.metadata.get('fields', {})
        for attrs in fields.values():
            if 'range' in attrs:
                attrs['range'] = tuple(attrs['range'])
        metadata['fields'] = fields
        plots = self.metadata.get('plots', {})
        return hvPlot(self, custom_plots=plots, **metadata)