removing explicit casts to float for divisions (no longer supporting …

…python 2). Closes #236
stringertheory · Feb 4, 2024 · 594d1a9 · 594d1a9
1 parent 632915c
commit 594d1a9
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Showing 2 changed files with 7 additions and 7 deletions.
diff --git a/traces/histogram.py b/traces/histogram.py
@@ -68,7 +68,7 @@ def total(self):
     def _prepare_for_stats(self):
         """Removes None values and calculates total."""
         clean = self._discard_value(None)
-        total = float(clean.total())
+        total = clean.total()
         return clean, total
 
     def mean(self):
@@ -109,10 +109,10 @@ def normalized(self):
         result = Histogram()
         for value, count in self.items():
             try:
-                result[value] = count / float(total)
+                result[value] = count / total
             except UnorderableElements:
                 result = Histogram.from_dict(dict(result), key=hash)
-                result[value] = count / float(total)
+                result[value] = count / total
         return result
 
     def _discard_value(self, value):
@@ -195,7 +195,7 @@ def function(q):
                     x2 = inverse.keys()[previous_index + 1]
                     y1 = inverse[x1]
                     y2 = inverse[x2]
-                    result = (y2 - y1) * (q - x1) / float(x2 - x1) + y1
+                    result = (y2 - y1) * (q - x1) / (x2 - x1) + y1
 
             else:
                 if q in inverse:
@@ -210,7 +210,7 @@ def function(q):
                     x1 = inverse.keys()[previous_index]
                     result = inverse[x1]
 
-            return float(result)
+            return result
 
         return function
 

diff --git a/traces/timeseries.py b/traces/timeseries.py
@@ -101,7 +101,7 @@ def _get_linear_interpolate(self, time):
             if isinstance(dt_interval, datetime.timedelta):
                 dt_interval = dt_interval.total_seconds()
                 dt_start = dt_start.total_seconds()
-            slope = float(right_value - left_value) / dt_interval
+            slope = (right_value - left_value) / dt_interval
             value = slope * dt_start + left_value
             return value
 
@@ -692,7 +692,7 @@ def n_points(
             count += end_count - start_count
 
         if normalized:
-            count /= float(self.n_measurements())
+            count /= self.n_measurements()
 
         return count