Honour counting_bins_per_evaluation setting for automatic determination of dt range

Author: eltos

xplt/timestructure.py

@@ -1598,7 +1598,8 @@ def check_insufficient_statistics():
                     50 * duration / ntotal
                 )  # at least 50 particles per bin (on average)
             if counting_dt_max is None:
-                counting_dt_max = duration / 50  # at least 50 bins to calculate metric
+                # at least N bins to calculate metric
+                counting_dt_max = duration / self.counting_bins_per_evaluation
             if check_insufficient_statistics():
                 return
 
@@ -1629,7 +1630,8 @@ def check_insufficient_statistics():
             if counting_dt_min is None or counting_dt_min < 1 / timeseries.fs:
                 counting_dt_min = timeseries.dt  # at least resolution of data
             if counting_dt_max is None:
-                counting_dt_max = duration / 50  # at least 50 bins to calculate metric
+                # at least N bins to calculate metric
+                counting_dt_max = duration / self.counting_bins_per_evaluation
             if check_insufficient_statistics():
                 return