From 94a1fdee1ae844720bf49dd4752b12394c1d3ce3 Mon Sep 17 00:00:00 2001 From: Tyler Goodlet Date: Mon, 23 Jan 2023 20:25:16 -0500 Subject: [PATCH] Use new cached median method in overlay scaling Massively speeds up scaling transform cycles (duh). Also includes a draft for an "overlay transform" type/api; obviously still a WIP :surfer:.. --- piker/ui/_interaction.py | 59 +++++++++++++++++++++++++++++++++++----- 1 file changed, 52 insertions(+), 7 deletions(-) diff --git a/piker/ui/_interaction.py b/piker/ui/_interaction.py index 2e437af1..bf119be2 100644 --- a/piker/ui/_interaction.py +++ b/piker/ui/_interaction.py @@ -42,6 +42,7 @@ import trio from ..log import get_logger from .._profile import Profiler from .._profile import pg_profile_enabled, ms_slower_then +from ..data.types import Struct # from ._style import _min_points_to_show from ._editors import SelectRect from . import _event @@ -343,6 +344,49 @@ async def handle_viewmode_mouse( view.order_mode.submit_order() +class OverlayT(Struct): + ''' + An overlay co-domain range transformer. + + Used to translate and apply a range from one y-range + to another based on a returns logarithm: + + R(ymn, ymx, yref) = (ymx - yref)/yref + + which gives the log-scale multiplier, and + + ymx_t = yref * (1 + R) + + which gives the inverse to translate to the same value + in the target co-domain. + + ''' + viz: Viz # viz with largest measured dispersion + + mx: float = 0 + mn: float = float('inf') + + up_swing: float = 0 + down_swing: float = 0 + disp: float = 0 + + def loglin_from_range( + self, + + y_ref: float, # reference value for dispersion metric + mn: float, # min y in target log-lin range + mx: float, # max y in target log-lin range + offset: float, # y-offset to start log-scaling from + + ) -> tuple[float, float]: + r_up = (mx - y_ref) / y_ref + r_down = (mn - y_ref) / y_ref + ymn = offset * (1 + r_down) + ymx = offset * (1 + r_up) + + return ymn, ymx + + class ChartView(ViewBox): ''' Price chart view box with interaction behaviors you'd expect from @@ -1034,19 +1078,20 @@ class ChartView(ViewBox): row_start = arr[read_slc.start - 1] if viz.is_ohlc: - y_med = np.median(in_view['close']) + y_med = viz.median_from_range( + read_slc.start, + read_slc.stop, + ) y_start = row_start['open'] else: - y_med = np.median(in_view[viz.name]) + y_med = viz.median_from_range( + read_slc.start, + read_slc.stop, + ) y_start = row_start[viz.name] profiler(f'{viz.name}@{chart_name} MINOR curve median') - # x_start = ixrng[0] - # print( - # f'{viz.name} ->\n' - # f'(x_start: {x_start}, y_start: {y_start}\n' - # ) start_datums[viz.plot.vb] = ( viz, y_start,