Hi,
Is there a standard way to compute first and then plot something
later? For example, I would like to generate a fine contour plot,
then use it as a background later.
x = np.linspace(-1,1,1000)
X,Y = np.meshgrid(x,x)
Z = ((X*X + Y*Y) - 0.5)**2 + Y**2
contours = plt.contour(X,Y,Z,100) # Takes a while...
del x, X, Y, Z
I would like to the later plot the contours quickly. What is the
"proper" way to do this in general? I can do something like the
following, but it seems like a hack (and may be missing important
connections: for example, I initially forgot to set the transform
which meant that the data was disconnected from the axis scale...)
f = plt.figure()
ax = plt.gca()
for collection in contours.collections:
collection.set_transform(ax.transData)
ax.add_collection(collection)
ax.autoscale_view()
plt.draw()
Have I forgotten anything here? I would have expected that, for any
plotting command, the return value could be passed to an axis command,
something like
f = plt.figure()
ax = plt.gca()
ax.add(contours)
or maybe even
ax.contour(contours)
though a general function to take the object returned by a plot
command and plot it on the current axis efficiently would be best.
I can't find this functionality or a description about how to do
this. Any suggestions?
Likewise, is there an easy way to "duplicate" a figure (including the
axes properties etc.) so one can produce two similar figures with
slightly modified parameters?
Thanks,
Michael.
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