Back-rescale previous (minor) curves from latest
For the "pin to target major/target curve" overlay method, this finally solves the longstanding issue of ensuring that any new minor curve, which requires and increase in the major/target curve y-range, also re-scales all previously scaled minor curves retroactively. Thus we now guarantee that all minor curves are correctly "pinned" to their target/major on their earliest available datum **and** are all kept in view.log_linearized_curve_overlays
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@ -651,18 +651,34 @@ def overlay_viewlists(
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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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# for (
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# view,
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# (yref, ymn, ymx)
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# ) in scaled.items():
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# pass
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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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# 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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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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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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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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if debug_print:
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print(
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f'Minor SCALARS {viz.name}:\n'
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