X-Git-Url: https://wannabe.guru.org/gitweb/?a=blobdiff_plain;f=histogram.py;h=f85abea2c45f05ef65c70657bd1b2b6f53f04c04;hb=e8fbbb7306430478dec55d2c963eed116d8330cc;hp=87ef77340fd036b8ea29d5ddf3def5d902db3688;hpb=f41c2bbae228ea2305e7530148c4d2dca5131200;p=python_utils.git diff --git a/histogram.py b/histogram.py index 87ef773..f85abea 100644 --- a/histogram.py +++ b/histogram.py @@ -1,47 +1,54 @@ #!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +"""A text-based simple histogram helper class.""" import math -from numbers import Number -from typing import Generic, Iterable, List, Optional, Tuple, TypeVar +from typing import Dict, Generic, Iterable, List, Optional, Tuple, TypeVar -T = TypeVar("T", bound=Number) +T = TypeVar("T", int, float) +Bound = int +Count = int class SimpleHistogram(Generic[T]): + """A simple histogram.""" # Useful in defining wide open bottom/top bucket bounds: POSITIVE_INFINITY = math.inf NEGATIVE_INFINITY = -math.inf - def __init__(self, buckets: List[Tuple[T, T]]): + def __init__(self, buckets: List[Tuple[Bound, Bound]]): from math_utils import RunningMedian - self.buckets = {} + self.buckets: Dict[Tuple[Bound, Bound], Count] = {} for start_end in buckets: if self._get_bucket(start_end[0]) is not None: raise Exception("Buckets overlap?!") self.buckets[start_end] = 0 - self.sigma = 0 - self.median = RunningMedian() - self.maximum = None - self.minimum = None - self.count = 0 + self.sigma: float = 0.0 + self.median: RunningMedian = RunningMedian() + self.maximum: Optional[T] = None + self.minimum: Optional[T] = None + self.count: Count = 0 @staticmethod def n_evenly_spaced_buckets( min_bound: T, max_bound: T, n: int, - ) -> List[Tuple[T, T]]: - ret = [] + ) -> List[Tuple[int, int]]: + ret: List[Tuple[int, int]] = [] stride = int((max_bound - min_bound) / n) if stride <= 0: raise Exception("Min must be < Max") - for bucket_start in range(min_bound, max_bound, stride): + imax = math.ceil(max_bound) + imin = math.floor(min_bound) + for bucket_start in range(imin, imax, stride): ret.append((bucket_start, bucket_start + stride)) return ret - def _get_bucket(self, item: T) -> Optional[Tuple[T, T]]: + def _get_bucket(self, item: T) -> Optional[Tuple[int, int]]: for start_end in self.buckets: if start_end[0] <= item < start_end[1]: return start_end @@ -67,9 +74,10 @@ class SimpleHistogram(Generic[T]): all_true = all_true and self.add_item(item) return all_true - def __repr__(self, *, width: int = 80, label_formatter: str = None) -> str: + def __repr__(self, *, width: int = 80, label_formatter: str = '%d') -> str: from text_utils import bar_graph + txt = "" max_population: Optional[int] = None for bucket in self.buckets: pop = self.buckets[bucket] @@ -77,14 +85,12 @@ class SimpleHistogram(Generic[T]): last_bucket_start = bucket[0] # beginning of range if max_population is None or pop > max_population: max_population = pop # bucket with max items - - txt = "" if max_population is None: return txt - max_label_width = None - lowest_start = None - highest_end = None + max_label_width: Optional[int] = None + lowest_start: Optional[int] = None + highest_end: Optional[int] = None for bucket in sorted(self.buckets, key=lambda x: x[0]): start = bucket[0] if lowest_start is None: @@ -92,19 +98,16 @@ class SimpleHistogram(Generic[T]): end = bucket[1] if highest_end is None or end > highest_end: highest_end = end - if label_formatter is None: - if type(start) == int and type(end) == int: - label_formatter = '%d' - elif type(start) == float and type(end) == float: - label_formatter = '%.2f' - else: - label_formatter = '%s' label = f'[{label_formatter}..{label_formatter}): ' % (start, end) label_width = len(label) if max_label_width is None or label_width > max_label_width: max_label_width = label_width if start == last_bucket_start: break + assert max_label_width is not None + assert lowest_start is not None + assert highest_end is not None + sigma_label = f'[{label_formatter}..{label_formatter}): ' % ( lowest_start, highest_end,