def __init__(self, buckets: List[Tuple[T, T]]):
from math_utils import RunningMedian
+
self.buckets = {}
for start_end in buckets:
if self._get_bucket(start_end[0]) is not None:
@staticmethod
def n_evenly_spaced_buckets(
- min_bound: T,
- max_bound: T,
- n: int,
+ min_bound: T,
+ max_bound: T,
+ n: int,
) -> List[Tuple[T, T]]:
ret = []
stride = int((max_bound - min_bound) / n)
all_true = all_true and self.add_item(item)
return all_true
- def __repr__(self) -> str:
+ def __repr__(self, label_formatter='%10s') -> str:
from text_utils import bar_graph
+
max_population: Optional[int] = None
for bucket in self.buckets:
pop = self.buckets[bucket]
if pop > 0:
- last_bucket_start = bucket[0]
+ last_bucket_start = bucket[0] # beginning of range
if max_population is None or pop > max_population:
- max_population = pop
+ max_population = pop # bucket with max items
+
txt = ""
if max_population is None:
return txt
- for bucket in sorted(self.buckets, key=lambda x : x[0]):
+ for bucket in sorted(self.buckets, key=lambda x: x[0]):
pop = self.buckets[bucket]
start = bucket[0]
end = bucket[1]
bar = bar_graph(
(pop / max_population),
- include_text = False,
- width = 70,
- left_end = "",
- right_end = "")
- label = f'{start}..{end}'
- txt += f'{label:12}: ' + bar + f"({pop}) ({len(bar)})\n"
+ include_text=False,
+ width=58,
+ left_end="",
+ right_end="",
+ )
+ label = f'{label_formatter}..{label_formatter}' % (start, end)
+ txt += f'{label:20}: ' + bar + f"({pop/self.count*100.0:5.2f}% n={pop})\n"
if start == last_bucket_start:
break
-
- txt = txt + f'''{self.count} item(s)
-{self.maximum} max
-{self.minimum} min
-{self.sigma/self.count:.3f} mean
-{self.median.get_median()} median'''
return txt