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authorScott Gasch <[email protected]>2022-02-11 11:40:38 -0800
committerScott Gasch <[email protected]>2022-02-11 11:40:38 -0800
commit1ff5dde5b037f8da4c9d5a65e2d7ad2f6715ff60 (patch)
treea28849e405443851b2d322612f972084ccdf8dff
parent699219341e92365b7aa2f84df0c141bc4f0aa238 (diff)
Add mode.
-rw-r--r--histogram.py14
-rw-r--r--math_utils.py13
2 files changed, 21 insertions, 6 deletions
diff --git a/histogram.py b/histogram.py
index dd47319..3796470 100644
--- a/histogram.py
+++ b/histogram.py
@@ -122,9 +122,11 @@ 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 +143,14 @@ 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(μ)={self.stats.get_mean():.3f}\n'
+ txt += f' mean(x̄)={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 += f' median(p50)={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 += 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 += '\n'
return txt
diff --git a/math_utils.py b/math_utils.py
index 3a672da..156862a 100644
--- a/math_utils.py
+++ b/math_utils.py
@@ -2,10 +2,13 @@
"""Mathematical helpers."""
+import collections
import functools
import math
from heapq import heappop, heappush
-from typing import List, Optional
+from typing import Dict, List, Optional, Tuple
+
+import dict_utils
class NumericPopulation(object):
@@ -70,6 +73,14 @@ class NumericPopulation(object):
count = len(self.lowers) + len(self.highers)
return self.aggregate / count
+ def get_mode(self) -> Tuple[float, int]:
+ count: Dict[float, int] = collections.defaultdict(int)
+ for n in self.lowers:
+ count[-n] += 1
+ for n in self.highers:
+ count[n] += 1
+ return dict_utils.item_with_max_value(count)
+
def get_stdev(self) -> float:
"""Returns the stdev so far in O(n) time."""