def list_metrics(self, include_deps=False):
        """Returns a dataframe containing names, descriptions and optionally dependencies for each metric."""
        cols = ['Name', 'Description', 'Dependencies']
        if include_deps:
            data = [(m['name'], m['help'], m['deps']) for m in self.metrics.values()]
        else:
            data = [(m['name'], m['help']) for m in self.metrics.values()]
            cols = cols[:-1]

        return pd.DataFrame(data, columns=cols)
Returns a dataframe containing names, descriptions and optionally dependencies for each metric.
motmetrics/metrics.py