+1 on every contingency cell

mlair/plotting/postprocessing_plotting.py

@@ -155,10 +155,10 @@ class PlotOversamplingContingency(AbstractPlotClass):
             for threshold in range(self._min_threshold, self._max_threshold):
                 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
-                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="fb", type=pred.type.values)] = fb
-                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="tb", type=pred.type.values)] = tb
+                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="ta", type=pred.type.values)] = ta + 1
+                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="fa", type=pred.type.values)] = fa + 1
+                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="fb", type=pred.type.values)] = fb + 1
+                    contingency_array.loc[dict(thresholds=threshold, contingency_cell="tb", type=pred.type.values)] = tb + 1
             logging.info(f"{station}: finished")
         return contingency_array