Solve a final minor-should-rescale edge case
When the minor has the same scaling as the major in a given direction we should still do back-scaling against the major-target and previous minors to avoid strange edge cases where only the target-major might not be shifted correctly to show an matched intersect point? More or less this just meant making the y-mxmn checks interval-inclusive with `>=`/`<=` operators. Also adds a shite ton of detailed comments throughout the pin-to-target method blocks and moves the final major y-range call outside the final `scaled: dict` loop.log_linearized_curve_overlays
Tyler Goodlet
parent
01ea706644
commit
45e97dd4c8
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@ -81,8 +81,11 @@ class OverlayT(Struct):
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) -> float:
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return y_ref * (1 + self.rng)
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# def loglin_from_range(
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# self,
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def scalars_from_index(
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self,
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xref: float,
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) -> tuple[float, float]:
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pass
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# y_ref: float, # reference value for dispersion metric
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# mn: float, # min y in target log-lin range
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@ -359,6 +362,12 @@ def overlay_viewlists(
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key = 'open' if viz.is_ohlc else viz.name
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start_t = row_start['time']
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# TODO: call `Viz.disp_from_range()` here!
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# disp = viz.disp_from_range(yref=y_ref)
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# if disp is None:
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# print(f'{viz.name}: WTF NO DISP')
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# continue
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# returns scalars
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r_up = (ymx - y_ref) / y_ref
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r_down = (ymn - y_ref) / y_ref
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@ -489,12 +498,6 @@ def overlay_viewlists(
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profiler(msg)
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print(msg)
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# disp = viz.disp_from_range(yref=y_ref)
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# if disp is None:
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# print(f'{viz.name}: WTF NO DISP')
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# continue
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# r_up, r_dn = disp
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disp = r_up - r_down
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# register curves by a "full" dispersion metric for
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@ -576,7 +579,7 @@ def overlay_viewlists(
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mx_disp = max(overlay_table)
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mx_entry = overlay_table[mx_disp]
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(
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_, # viewbox
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mx_view, # viewbox
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mx_viz, # viz
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_, # y_ref
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mx_ymn,
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@ -586,13 +589,17 @@ def overlay_viewlists(
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r_up_mx,
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r_dn_mn,
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) = mx_entry
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mx_disp = r_up_mx - r_dn_mn
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scaled: dict[float, tuple[float, float, float]] = {}
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scaled: dict[
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float,
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tuple[Viz, float, float, float, float]
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] = {}
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# conduct "log-linearized multi-plot" scalings for all groups
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# -> iterate all curves Ci in dispersion-measure sorted order
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# going from smallest swing to largest.
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for full_disp in sorted(overlay_table):
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for full_disp in reversed(overlay_table):
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(
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view,
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viz,
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@ -620,17 +627,24 @@ def overlay_viewlists(
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match overlay_technique:
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# Pin this curve to the "major dispersion" (or other
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# target) curve by finding the intersect datum and
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# then scaling according to the returns log-lin transort
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# 'at that intersect reference data'. If the pinning
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# results in this (minor/pinned) curve being out of view
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# adjust the returns scalars to match this curves min
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# y-range to stay in view.
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case 'loglin_ref_to_curve':
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# TODO: technically we only need to do this here if
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# target) curve:
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#
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# - find the intersect datum and then scaling according
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# to the returns log-lin tranform 'at that intersect
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# reference data'.
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# - if the pinning/log-returns-based transform scaling
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# results in this minor/pinned curve being out of
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# view, adjust the scalars to match **this** curve's
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# y-range to stay in view and then backpropagate that
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# scaling to all curves, including the major-target,
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# which were previously scaled before.
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case 'loglin_ref_to_curve':
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if viz is not mx_viz:
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# calculate y-range scalars from the earliest
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# "intersect" datum with the target-major
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# (dispersion) curve so as to "pin" the curves
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# in the y-domain at that spot.
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(
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i_start,
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y_ref_major,
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@ -638,46 +652,83 @@ def overlay_viewlists(
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r_major_down_here,
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) = mx_viz.scalars_from_index(xref)
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# transform y-range scaling to be the same as the
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# equivalent "intersect" datum on the major
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# dispersion curve (or other target "pin to"
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# equivalent).
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ymn = y_start * (1 + r_major_down_here)
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if ymn > y_min:
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# if this curve's y-range is detected as **not
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# being in view** after applying the
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# target-major's transform, adjust the
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# target-major curve's range to (log-linearly)
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# include it (the extra missing range) by
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# adjusting the y-mxmn to this new y-range and
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# applying the inverse transform of the minor
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# back on the target-major (and possibly any
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# other previously-scaled-to-target/major, minor
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# curves).
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if ymn >= y_min:
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ymn = y_min
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r_dn_minor = (ymn - y_start) / y_start
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# rescale major curve's y-max to include new
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# range increase required by **this minor**.
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mx_ymn = y_ref_major * (1 + r_dn_minor)
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mx_viz.vs.yrange = mx_ymn, mx_viz.vs.yrange[1]
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# TODO: rescale all already scaled curves to
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# new increased range for this side.
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# rescale all already scaled curves to new
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# increased range for this side as
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# determined by ``y_min`` staying in view;
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# re-set the `scaled: dict` entry to
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# ensure that this minor curve will be
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# entirely in view.
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# TODO: re updating already-scaled minor curves
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# - is there a faster way to do this by
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# mutating state on some object instead?
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for _view in scaled:
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_yref, _ymn, _ymx = scaled[_view]
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new_ymn = _yref * (1 + r_dn_minor)
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_viz, _yref, _ymn, _ymx, _xref = scaled[_view]
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(
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_,
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_,
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_,
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r_major_down_here,
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) = mx_viz.scalars_from_index(_xref)
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# TODO: is there a faster way to do this
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# by mutating state on some object
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# instead?
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scaled[_view] = (_yref, new_ymn, _ymx)
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new_ymn = _yref * (1 + r_major_down_here)
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scaled[_view] = (
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_viz, _yref, new_ymn, _ymx, _xref)
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if debug_print:
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print(
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f'RESCALE {_viz.name} ymn -> {new_ymn}'
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f'RESCALE MAJ ymn -> {mx_ymn}'
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)
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ymx = y_start * (1 + r_major_up_here)
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if ymx < y_max:
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# set the `scaled: dict` entry to ensure
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# that this minor curve will be entirely in
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# view.
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# same as above but for minor being out-of-range
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# on the upside.
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if ymx <= y_max:
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ymx = y_max
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r_up_minor = (ymx - y_start) / y_start
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# adjust the target-major curve's range to
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# (log-linearly) include this extra range by
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# applying the inverse transform of the
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# minor.
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mx_ymx = y_ref_major * (1 + r_up_minor)
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mx_viz.vs.yrange = mx_viz.vs.yrange[0], mx_ymx
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for _view in scaled:
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_yref, _ymn, _ymx = scaled[_view]
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new_ymx = _yref * (1 + r_up_minor)
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scaled[_view] = (_yref, _ymn, new_ymx)
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_viz, _yref, _ymn, _ymx, _xref = scaled[_view]
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(
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_,
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_,
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r_major_up_here,
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_,
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) = mx_viz.scalars_from_index(_xref)
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new_ymx = _yref * (1 + r_major_up_here)
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scaled[_view] = (
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_viz, _yref, _ymn, new_ymx, _xref)
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if debug_print:
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print(
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f'RESCALE {_viz.name} ymn -> {new_ymx}'
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)
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if debug_print:
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print(
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@ -686,6 +737,12 @@ def overlay_viewlists(
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f'dn: {r_major_down_here}\n'
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f'up: {r_major_up_here}\n'
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)
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# register all overlays for a final pass where we
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# apply all pinned-curve y-range transform scalings.
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scaled[view] = (viz, y_start, ymn, ymx, xref)
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# target/dispersion MAJOR case
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else:
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if debug_print:
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print(
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@ -693,6 +750,7 @@ def overlay_viewlists(
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f'dn: {r_dn_mn}\n'
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f'up: {r_up_mx}\n'
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)
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# target/major curve's mxmn may have been
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# reset by minor overlay steps above.
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ymn = mx_ymn
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@ -705,25 +763,23 @@ def overlay_viewlists(
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case 'loglin_ref_to_first':
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ymn = dnt.apply_rng(y_start)
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ymx = upt.apply_rng(y_start)
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view._set_yrange(yrange=(ymn, ymx))
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# Do not pin curves by log-linearizing their y-ranges,
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# instead allow each curve to fully scale to the
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# time-series in view's min and max y-values.
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case 'mxmn':
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ymn = y_min
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ymx = y_max
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view._set_yrange(yrange=(y_min, y_max))
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case _:
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raise RuntimeError(
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f'overlay_technique is invalid `{overlay_technique}'
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)
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scaled[view] = (y_start, ymn, ymx)
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if scaled:
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for (
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view,
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(yref, ymn, ymx)
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(viz, yref, ymn, ymx, xref)
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) in scaled.items():
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# NOTE XXX: we have to set each curve's range once (and
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@ -731,9 +787,7 @@ def overlay_viewlists(
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# inside of a single render cycle (and apparently calling
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# `ViewBox.setYRange()` multiple times within one only takes
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# the first call as serious...) XD
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view._set_yrange(
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yrange=(ymn, ymx),
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)
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view._set_yrange(yrange=(ymn, ymx))
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profiler(f'{viz.name}@{chart_name} log-SCALE minor')
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if debug_print:
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@ -742,7 +796,8 @@ def overlay_viewlists(
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f'LOGLIN SCALE CYCLE: {viz.name}@{chart_name}\n'
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f'UP MAJOR C: {upt.viz.name} with disp: {upt.rng}\n'
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f'DOWN MAJOR C: {dnt.viz.name} with disp: {dnt.rng}\n'
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f'disp: {disp}\n'
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f'SIGMA MAJOR C: {mx_viz.name} -> {mx_disp}\n'
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# f'disp: {disp}\n'
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f'xref for MINOR: {xref}\n'
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f'y_start: {y_start}\n'
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f'y min: {y_min}\n'
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@ -752,9 +807,9 @@ def overlay_viewlists(
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'------------------------------\n'
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)
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# vrs = major_sigma_viz.plot.vb.viewRange()
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# if vrs[1][0] > major_mn:
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# breakpoint()
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# finally, scale major curve to possibly re-scaled/modified
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# values
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mx_view._set_yrange(yrange=(mx_ymn, mx_ymx))
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if debug_print:
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print(
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