def _extract_series_timeseries()

in src/lookoutequipment/plot.py [0:0]

• 8 lines of code
• 5 McCabe index (conditional complexity)

    def _extract_series_timeseries(self, tag_name):
        """
        Extracts all the data for the tag_name passed as an argument for dataset
        that follows the ``timeseries`` format.
        
        Parameters:
            tag_name (string):
                The name of the tag to extract
        """
        # Extract the data for the current signal:
        df = self._data[self._data[self.tag_col] == tag_name].copy()
        
        # Remove the tag name from the column list and use it as a name for
        # the last column remaining, that should contain the values:
        df = df.drop(columns=[self.tag_col])
        if self.timestamp_col is None:
            df.columns = [tag_name]
        else:
            df.columns = [self.timestamp_col, tag_name]
        
        return df