From 7269e186b931cef66aa446c13e0460caf33b1765 Mon Sep 17 00:00:00 2001
From: "v.gramlich1" <v.gramlichfz-juelich.de>
Date: Mon, 16 Aug 2021 13:51:26 +0200
Subject: [PATCH] debugging in postprocessing_plotting
---
mlair/plotting/postprocessing_plotting.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/mlair/plotting/postprocessing_plotting.py b/mlair/plotting/postprocessing_plotting.py
index bf73f185..da477718 100644
--- a/mlair/plotting/postprocessing_plotting.py
+++ b/mlair/plotting/postprocessing_plotting.py
@@ -145,15 +145,15 @@ class PlotOversamplingContingency(AbstractPlotClass):
obs = forecast_file.sel(type=self._obs_name)
logging.info(f"{station}: load pred")
predictions = [forecast_file.sel(type=self._model_name)]
- logging.info(f"{station}: load comp")
+ logging.info(f"{station}: load comp, comp_list:{self._comp_names}")
for comp in self._comp_names:
c = self._load_competitors(station, [comp])
if c is not None:
+ logging.info(f"{station}: {comp} is not None")
predictions.append(c.sel(type=comp))
logging.info(f"itearate over thresholds")
for threshold in range(self._min_threshold, self._max_threshold):
- for i, pred in enumerate(predictions):
- logging.info(i)
+ for pred in predictions:
ta, fa, fb, tb = self._single_contingency(obs, pred, threshold)
contingency_array.loc[dict(thresholds=threshold, contingency_cell="ta", type=pred.type.values)] = ta
contingency_array.loc[dict(thresholds=threshold, contingency_cell="fa", type=pred.type.values)] = fa
--
GitLab