Hi Gurus:
I'm having a serious problem with MultiCursor and autoscaling...
If I do the code below with both MultiCursor instantiations commented
out, then all plots are xscaled to [50,55] and yscaled to each plot's
appropriate ylimits.
If I uncomment the top MultiCursor instantiation, then both the xlimits
and ylimits are screwed up: xlim=[0,60] and ylim is all over the place,
certainly not autoscaled tight.
If I uncomment the bottom MultiCursor instantiation, then the xlimit
appears to be scaled correctly, [50,55], but two of the four plots
(lower left and upper right) are not autoscaled in y.
How to I instantiate MultiCursor to get the normal and expected
autoscaling behavior?
Not that it should matter, but I'm using here Tk and Python3 with MPL
1.5dev1 (91ca2a3724ae91d28d97)
Thanks for any help,
M
=============
from matplotlib import pyplot as pl
from matplotlib.widgets import MultiCursor
from matplotlib import gridspec
import numpy as np
if __name__ == "__main__":
fig = pl.gcf()
gs = gridspec.GridSpec(2,2)
ax = None
for g in gs:
ax = pl.subplot(g, sharex=ax)
#multi = MultiCursor(fig.canvas, tuple(fig.axes),
# useblit=True, horizOn=True, color='k', lw=1)
x = np.arange(50,55,0.01)
y1 = np.sin(x)
y2 = np.cos(x) + 4
y3 = 0.2*np.cos(x) - 4
y4 = np.cos(2*x) - 1
for ax,y in zip(fig.axes, [y1,y2,y3,y4]):
ax.plot(x,y)
for ax in fig.axes:
ax.grid()
#multi = MultiCursor(fig.canvas, tuple(fig.axes),
# useblit=True, horizOn=True, color='k', lw=1)
pl.draw()
pl.show()
from matplotlib import pyplot as pl
from matplotlib.widgets import MultiCursor
from matplotlib import gridspec
import numpy as np
if __name__ == "__main__":
fig = pl.gcf()
gs = gridspec.GridSpec(2,2)
ax = None
for g in gs:
ax = pl.subplot(g, sharex=ax)
multi = MultiCursor(fig.canvas, tuple(fig.axes),
useblit=True, horizOn=True, color='k', lw=1)
x = np.arange(50,55,0.01)
y1 = np.sin(x)
y2 = np.cos(x) + 4
y3 = 0.2*np.cos(x) - 4
y4 = np.cos(2*x) - 1
for ax,y in zip(fig.axes, [y1,y2,y3,y4]):
ax.plot(x,y)
for ax in fig.axes:
ax.grid()
#multi = MultiCursor(fig.canvas, tuple(fig.axes),
# useblit=True, horizOn=True, color='k', lw=1)
import matplotlib
print(matplotlib.__version__)
pl.draw()
pl.show()
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