)
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),
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
"""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):
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."""