From 5e6e2f892567dbe57c19deb6af14558857740c65 Mon Sep 17 00:00:00 2001 From: Tyler Goodlet Date: Mon, 23 Jan 2023 20:22:45 -0500 Subject: [PATCH] Add `Viz.median_from_range()` A super snappy `numpy.median()` calculator (per input range) which we slap an `lru_cache` on thanks to handy dunder method hacks for such things on mutable types XD --- piker/ui/_dataviz.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/piker/ui/_dataviz.py b/piker/ui/_dataviz.py index 494ef985..32f400a1 100644 --- a/piker/ui/_dataviz.py +++ b/piker/ui/_dataviz.py @@ -19,6 +19,7 @@ Data vizualization APIs ''' from __future__ import annotations +from functools import lru_cache from math import ( ceil, floor, @@ -282,6 +283,21 @@ class Viz(msgspec.Struct): # , frozen=True): tuple[float, float], ] = {} + # cache of median calcs from input read slice hashes + # see `.median()` + _meds: dict[ + int, + float, + ] = {} + + # to make lru_cache-ing work, see + # https://docs.python.org/3/faq/programming.html#how-do-i-cache-method-calls + def __eq__(self, other): + return self._shm._token == other._shm._token + + def __hash__(self): + return hash(self._shm._token) + @property def shm(self) -> ShmArray: return self._shm @@ -462,6 +478,19 @@ class Viz(msgspec.Struct): # , frozen=True): mxmn, ) + @lru_cache(maxsize=6116) + def median_from_range( + self, + start: int, + stop: int, + + ) -> float: + in_view = self.shm.array[start:stop] + if self.is_ohlc: + return np.median(in_view['close']) + else: + return np.median(in_view[self.name]) + def view_range(self) -> tuple[int, int]: ''' Return the start and stop x-indexes for the managed ``ViewBox``.