Add some useful stats to histogram.

[python_utils.git] / histogram.py

diff --git a/histogram.py b/histogram.py
index 6f9c0f1e41750f0562293ffedfc4d8383a3f0aa8..9c07df9b588aef626ecf8217a70ac4fd9676eb9d 100644 (file)
--- a/histogram.py
+++ b/histogram.py
@@ -5,7 +5,7 @@
 
 import math
 from dataclasses import dataclass
-from typing import Dict, Generic, Iterable, List, NamedTuple, Optional, Tuple, TypeVar
+from typing import Dict, Generic, Iterable, List, Optional, Tuple, TypeVar
 
 T = TypeVar("T", int, float)
 Bound = int
@@ -40,7 +40,7 @@ class SimpleHistogram(Generic[T]):
                 raise Exception("Buckets overlap?!")
             self.buckets[start_end] = 0
         self.sigma: float = 0.0
-        self.median: RunningMedian = RunningMedian()
+        self.stats: RunningMedian = RunningMedian()
         self.maximum: Optional[T] = None
         self.minimum: Optional[T] = None
         self.count: Count = 0
@@ -74,7 +74,7 @@ class SimpleHistogram(Generic[T]):
         self.count += 1
         self.buckets[bucket] += 1
         self.sigma += item
-        self.median.add_number(item)
+        self.stats.add_number(item)
         if self.maximum is None or item > self.maximum:
             self.maximum = item
         if self.minimum is None or item < self.minimum:
@@ -142,4 +142,11 @@ class SimpleHistogram(Generic[T]):
         txt += sigma_label.rjust(details.max_label_width)
         txt += ' ' * (bar_width - 2)
         txt += f'Σ=(100.00% n={self.count})\n'
+        txt += ' ' * (bar_width + details.max_label_width - 2)
+        txt += f'mean(μ)={self.stats.get_mean():.3f}\n'
+        txt += ' ' * (bar_width + details.max_label_width - 2)
+        txt += f'p50(η)={self.stats.get_median():.3f}\n'
+        txt += ' ' * (bar_width + details.max_label_width - 2)
+        txt += f'stdev(σ)={self.stats.get_stdev():.3f}\n'
+        txt += '\n'
         return txt