diff --git a/mlair/plotting/data_insight_plotting.py b/mlair/plotting/data_insight_plotting.py index 45f5d3d6a451200d35c8f9085b31d3c394ae62b1..cc8ba279d556726ef82ac13e0287077215d6b4d6 100644 --- a/mlair/plotting/data_insight_plotting.py +++ b/mlair/plotting/data_insight_plotting.py @@ -803,13 +803,15 @@ class PlotPeriodogram(AbstractPlotClass): # pragma: no cover plot_path = os.path.join(os.path.abspath(self.plot_folder), plot_name) logging.info(f"... plotting {plot_name}") pdf_pages = matplotlib.backends.backend_pdf.PdfPages(plot_path) - colors = ["blue", "red", "green", "orange", "purple", "black", "grey"] + colors = ["grey", "blue", "red", "green", "orange", "purple", "black"] label_names = ["orig"] + label_names max_iter = len(self.plot_data) var_keys = self.plot_data[0].keys() for var in var_keys: fig, ax = plt.subplots() for i in reversed(range(max_iter)): + if label_names[i] == "unfiltered": + continue # do not include the filter 'unfiltered' because this is equal to the 'orig' data plot_data = self.plot_data[i] c = colors[i] ma = pd.DataFrame(np.vstack(plot_data[var]).T).rolling(5, center=True, axis=0)