Merge remote-tracking branch 'origin/dev' into dev

core/abc.py

@@ -15,10 +15,10 @@ class PostProcessABC(ProcessABC):
         super().__init__(*args, **kwargs)
 
     @classmethod
-    def as_function(cls, data, *args, **kwargs):
+    def as_function(cls, data, *extra_data, **kwargs):
         # Find the parameter's default
         parameters = cls.default_parameters(**kwargs)
-        return cls(parameters=parameters).run(data, *args)
+        return cls(parameters=parameters).run(data, *extra_data)
 
     @classmethod
     def default_parameters(cls, *args, **kwargs):

routines/mean_plot.py

@@ -35,7 +35,9 @@ class _MeanPlotter(BasePlotter):
         self.ylabel = ylabel
 
         # Mean and standard error
-        self.trace_time = np.array(self.trace_df.columns) * self.unit_scaling
+        self.trace_time = (
+            np.array(self.trace_df.columns, dtype=float) * self.unit_scaling
+        )
         self.mean_ts = self.trace_df.mean(axis=0)
         self.stderr = self.trace_df.std(axis=0) / np.sqrt(len(self.trace_df))
 

routines/median_plot.py

@@ -35,7 +35,9 @@ class _MedianPlotter(BasePlotter):
         self.ylabel = ylabel
 
         # Median and interquartile range
-        self.trace_time = np.array(self.trace_df.columns) * self.unit_scaling
+        self.trace_time = (
+            np.array(self.trace_df.columns, dtype=float) * self.unit_scaling
+        )
         self.median_ts = self.trace_df.median(axis=0)
         self.quartile1_ts = self.trace_df.quantile(0.25)
         self.quartile3_ts = self.trace_df.quantile(0.75)