X-Git-Url: https://wannabe.guru.org/gitweb/?a=blobdiff_plain;f=histogram.py;h=52a0d1fad558a493c6e303abdd07a6933053a045;hb=532df2c5b57c7517dfb3dddd8c1358fbadf8baf3;hp=9c07df9b588aef626ecf8217a70ac4fd9676eb9d;hpb=a4b50bb62e2653d3d084c6c7e0574abb9277b8d7;p=python_utils.git

diff --git a/histogram.py b/histogram.py
index 9c07df9..52a0d1f 100644
--- a/histogram.py
+++ b/histogram.py
@@ -1,6 +1,8 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+# © Copyright 2021-2022, Scott Gasch
+
 """A text-based simple histogram helper class."""
 
 import math
@@ -32,7 +34,7 @@ class SimpleHistogram(Generic[T]):
     NEGATIVE_INFINITY = -math.inf
 
     def __init__(self, buckets: List[Tuple[Bound, Bound]]):
-        from math_utils import RunningMedian
+        from math_utils import NumericPopulation
 
         self.buckets: Dict[Tuple[Bound, Bound], Count] = {}
         for start_end in buckets:
@@ -40,7 +42,7 @@ class SimpleHistogram(Generic[T]):
                 raise Exception("Buckets overlap?!")
             self.buckets[start_end] = 0
         self.sigma: float = 0.0
-        self.stats: RunningMedian = RunningMedian()
+        self.stats: NumericPopulation = NumericPopulation()
         self.maximum: Optional[T] = None
         self.minimum: Optional[T] = None
         self.count: Count = 0
@@ -122,9 +124,11 @@ class SimpleHistogram(Generic[T]):
         )
         if len(sigma_label) > details.max_label_width:
             details.max_label_width = len(sigma_label)
-        bar_width = width - (details.max_label_width + 16)
+        bar_width = width - (details.max_label_width + 17)
 
         for (start, end), pop in sorted(self.buckets.items(), key=lambda x: x[0]):
+            if start < details.lowest_start:
+                continue
             label = f'[{label_formatter}..{label_formatter}): ' % (start, end)
             bar = bar_graph(
                 (pop / details.max_population),
@@ -141,12 +145,14 @@ class SimpleHistogram(Generic[T]):
         txt += '-' * width + '\n'
         txt += sigma_label.rjust(details.max_label_width)
         txt += ' ' * (bar_width - 2)
-        txt += f'Σ=(100.00% n={self.count})\n'
+        txt += f'     pop(Σn)={self.count}\n'
+        txt += ' ' * (bar_width + details.max_label_width - 2)
+        txt += f'     mean(x̄)={self.stats.get_mean():.3f}\n'
         txt += ' ' * (bar_width + details.max_label_width - 2)
-        txt += f'mean(μ)={self.stats.get_mean():.3f}\n'
+        txt += f' median(p50)={self.stats.get_median():.3f}\n'
         txt += ' ' * (bar_width + details.max_label_width - 2)
-        txt += f'p50(η)={self.stats.get_median():.3f}\n'
+        txt += f'    mode(Mo)={self.stats.get_mode()[0]:.3f}\n'
         txt += ' ' * (bar_width + details.max_label_width - 2)
-        txt += f'stdev(σ)={self.stats.get_stdev():.3f}\n'
+        txt += f'    stdev(σ)={self.stats.get_stdev():.3f}\n'
         txt += '\n'
         return txt