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Move px width log scaling into `ds_m4()`

big_data_lines
Tyler Goodlet 2022-04-01 13:47:24 -04:00
parent 5da9f7fdb4
commit 5bcd6ac494
1 changed files with 21 additions and 15 deletions
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36
piker/ui/_compression.py
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@ -199,25 +199,13 @@ def ohlc_to_m4_line(
use_mxmn=pretrace, use_mxmn=pretrace,
) )
if uppx:
# optionally log-scale down the "supposed pxs on screen"
# as the units-per-px (uppx) get's large.
scaler = round(
max(
# NOTE: found that a 16x px width brought greater
# detail, likely due to dpi scaling?
# px_width=px_width * 16,
128 / (1 + math.log(uppx, 2)),
1
)
)
px_width *= scaler
if downsample: if downsample:
bins, x, y = ds_m4( bins, x, y = ds_m4(
xpts, xpts,
flat, flat,
px_width=px_width, px_width=px_width,
uppx=uppx,
log_scale=bool(uppx)
) )
x = np.broadcast_to(x[:, None], y.shape) x = np.broadcast_to(x[:, None], y.shape)
x = (x + np.array([-0.43, 0, 0, 0.43])).flatten() x = (x + np.array([-0.43, 0, 0, 0.43])).flatten()
@ -235,6 +223,8 @@ def ds_m4(
# this is the width of the data in view # this is the width of the data in view
# in display-device-local pixel units. # in display-device-local pixel units.
px_width: int, px_width: int,
uppx: Optional[float] = None,
log_scale: bool = True,
) -> tuple[int, np.ndarray, np.ndarray]: ) -> tuple[int, np.ndarray, np.ndarray]:
''' '''
@ -261,6 +251,22 @@ def ds_m4(
# "i didn't show it in the sample code, but it's accounted for # "i didn't show it in the sample code, but it's accounted for
# in the start and end indices and number of bins" # in the start and end indices and number of bins"
# optionally log-scale down the "supposed pxs on screen"
# as the units-per-px (uppx) get's large.
if log_scale:
assert uppx, 'You must provide a `uppx` value to use log scaling!'
scaler = round(
max(
# NOTE: found that a 16x px width brought greater
# detail, likely due to dpi scaling?
# px_width=px_width * 16,
2**6 / (1 + math.log(uppx, 2)),
1
)
)
px_width *= scaler
assert px_width > 1 # width of screen in pxs? assert px_width > 1 # width of screen in pxs?
# NOTE: if we didn't pre-slice the data to downsample # NOTE: if we didn't pre-slice the data to downsample
@ -320,7 +326,7 @@ def ds_m4(
@jit( @jit(
nopython=True, nopython=True,
# nogil=True, nogil=True,
) )
def _m4( def _m4(