Move px width log scaling into `ds_m4()`
parent
927d37541f
commit
b748bc2d05
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@ -199,25 +199,13 @@ def ohlc_to_m4_line(
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use_mxmn=pretrace,
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)
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if uppx:
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# optionally log-scale down the "supposed pxs on screen"
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# as the units-per-px (uppx) get's large.
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scaler = round(
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max(
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# NOTE: found that a 16x px width brought greater
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# detail, likely due to dpi scaling?
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# px_width=px_width * 16,
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128 / (1 + math.log(uppx, 2)),
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1
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)
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)
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px_width *= scaler
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if downsample:
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bins, x, y = ds_m4(
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xpts,
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flat,
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px_width=px_width,
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uppx=uppx,
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log_scale=bool(uppx)
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)
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x = np.broadcast_to(x[:, None], y.shape)
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x = (x + np.array([-0.43, 0, 0, 0.43])).flatten()
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@ -235,6 +223,8 @@ def ds_m4(
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# this is the width of the data in view
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# in display-device-local pixel units.
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px_width: int,
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uppx: Optional[float] = None,
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log_scale: bool = True,
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) -> tuple[int, np.ndarray, np.ndarray]:
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'''
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@ -261,6 +251,22 @@ def ds_m4(
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# "i didn't show it in the sample code, but it's accounted for
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# in the start and end indices and number of bins"
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# optionally log-scale down the "supposed pxs on screen"
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# as the units-per-px (uppx) get's large.
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if log_scale:
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assert uppx, 'You must provide a `uppx` value to use log scaling!'
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scaler = round(
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max(
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# NOTE: found that a 16x px width brought greater
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# detail, likely due to dpi scaling?
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# px_width=px_width * 16,
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2**6 / (1 + math.log(uppx, 2)),
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1
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)
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)
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px_width *= scaler
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assert px_width > 1 # width of screen in pxs?
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# NOTE: if we didn't pre-slice the data to downsample
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@ -320,7 +326,7 @@ def ds_m4(
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@jit(
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nopython=True,
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# nogil=True,
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nogil=True,
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)
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def _m4(
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