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,
- label_formatter='%10s') -> str:
+ def __repr__(self, label_formatter='%10s') -> str:
from text_utils import bar_graph
max_population: Optional[int] = None
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 = 58,
- left_end = "",
- right_end = "")
+ 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: