Skip overlay handling when `N < 2` are detected

log_linearized_curve_overlays
Tyler Goodlet 2023-02-28 14:32:03 -05:00
parent 993bb47138
commit 7579863068
1 changed files with 44 additions and 38 deletions

View File

@ -201,6 +201,8 @@ def overlay_viewlists(
chart: ChartPlotWidget
for chart_name, chart in plots.items():
overlay_viz_items = chart._vizs.items()
# Common `PlotItem` maxmin table; presumes that some path
# graphics (and thus their backing data sets) are in the
# same co-domain and view box (since the were added
@ -218,6 +220,46 @@ def overlay_viewlists(
# and scale minor charts onto the major chart: the chart
# with the most dispersion in the set.
# ONLY auto-yrange the viz mapped to THIS view box
if (
not do_overlay_scaling
or len(overlay_viz_items) < 2
):
viz = active_viz
if debug_print:
print(f'ONLY ranging THIS viz: {viz.name}')
out = _maybe_calc_yrange(
viz,
yrange_kwargs,
profiler,
chart_name,
)
if out is None:
continue
read_slc, yrange_kwargs = out
viz.plot.vb._set_yrange(**yrange_kwargs)
profiler(f'{viz.name}@{chart_name} single curve yrange')
# don't iterate overlays, just move to next chart
continue
if debug_print:
print(
f'BEGIN UX GRAPHICS CYCLE: @{chart_name}\n'
+
'#'*100
+
'\n'
)
# create a group overlay log-linearized y-range transform to
# track and eventually inverse transform all overlay curves
# to a common target max dispersion range.
dnt = OverlayT()
upt = OverlayT()
# collect certain flows have grapics objects **in seperate
# plots/viewboxes** into groups and do a common calc to
# determine auto-ranging input for `._set_yrange()`.
@ -239,44 +281,8 @@ def overlay_viewlists(
],
] = {}
# ONLY auto-yrange the viz mapped to THIS view box
if not do_overlay_scaling:
viz = active_viz
if debug_print:
print(f'ONLY ranging THIS viz: {viz.name}')
out = _maybe_calc_yrange(
viz,
yrange_kwargs,
profiler,
chart_name,
)
if out is None:
continue
read_slc, yrange_kwargs = out
viz.plot.vb._set_yrange(**yrange_kwargs)
profiler(f'{viz.name}@{chart_name} single curve yrange')
# don't iterate overlays, just move to next chart
continue
# create a group overlay log-linearized y-range transform to
# track and eventually inverse transform all overlay curves
# to a common target max dispersion range.
dnt = OverlayT()
upt = OverlayT()
if debug_print:
print(
f'BEGIN UX GRAPHICS CYCLE: @{chart_name}\n'
+
'#'*100
+
'\n'
)
for name, viz in chart._vizs.items():
# multi-curve overlay processing stage
for name, viz in overlay_viz_items:
out = _maybe_calc_yrange(
viz,