When updating x or y on a ScatterGL mark, the display will not look good if the new values are at a significantly different order of magnitude compared to the original values.
The following example demonstrates the issue:
import numpy as np
from bqplot import (
Axis,
LinearScale,
ScatterGL,
Figure,
PanZoom,
)
from IPython.display import display
sc_x = LinearScale()
sc_y = LinearScale()
scatt = ScatterGL(
x=np.linspace(98.3, 98.4, 100),
y=np.linspace(1e6, 2e6, 100),
scales={"x": sc_x, "y": sc_y},
)
ax_x = Axis(scale=sc_x, label="x")
ax_y = Axis(scale=sc_y, orientation="vertical", tick_format="0.0f", label="y")
panzoom = PanZoom(scales={"x": [sc_x], "y": [sc_y]})
figure = Figure(marks=[scatt], axes=[ax_x, ax_y])
display(figure)
y = np.random.uniform(0.9, 1.1, 100)
y[0] = np.nan
scatt.y = y
sc_y.min = 0.0
sc_y.max = 2.0If run in a notebook in a single cell, this gives:
The values appear to be discretised. Showing the figure in a new cell works fine:
When updating
xoryon aScatterGLmark, the display will not look good if the new values are at a significantly different order of magnitude compared to the original values.The following example demonstrates the issue:
If run in a notebook in a single cell, this gives:
The values appear to be discretised. Showing the figure in a new cell works fine: