Description
I tried the .animate method and noticed that the dims=[from,to] parameter does not have any influence on the axis ranges.
I also tried to pass a pre-configured axis (with the axis ranges set manually via the matplotlib api) to the method using ax=myaxes, but this complains about ax getting passed twice in some nested function.
I trying this using the "%matplotlib widget" pragma, since I am using jupyter lab / notebook 7 or newer.
BTW I found that passing an axis to the .plot() method is the only way to avoid getting two figures in stead of one in that context. When I run
T1 = spatialmath.SE3.Trans(1,2,3)
fig=plt.figure()
T1.plot()
plt.show()
I get two figures.
Running
fig=plt.figure()
T1 = spatialmath.SE3.Trans(1,2,3)
ax = fig.add_subplot(111, projection='3d')
T1.plot(ax=ax)
plt.show()
shows correctly just one figure.
This allows me to set the axis ranges in a plot:
fig=plt.figure()
T1 = spatialmath.SE3.Trans(1,2,3)
T1.plot(dims=[-3,5])
plt.show()
But the axis ranges are not set with animate (instead the default range 0,1 is shown):
T1 = spatialmath.SE3.Trans(1,2,3)
fig=plt.figure()
T1.animate(dims=[-3,3])
plt.show()
and it is also not possible to pass ax=ax to animate.
Package versions:
spatialmath 1.1.10
matplotlib 3.9.0
IPython 8.26.0
notebook 7.2.1
jupyter 1.0.0
jupyterlab 4.2.3
ipywidgets 8.1.3