Multiple plots on python

Question

I want to plot a curve on an image. I would to see the curve only in a certain range. So:

plt.figure()
plt.imshow(img)
plt.plot(x, my_curve)
plt.axis([0, X, Y, 0])

But in this way also the image is showed in that range, but I don't want this. I would like to see the whole image with a portion of the curve. How can apply the axes only on the second plot?

EDIT: I can't use a slice of the arrays. I am in this case (it is an example):

x        = [0 0 0 10 10 10 30 30 30 40 40 40]
my_curve = [0 0 0 10 10 10 30 30 30 40 40 40]

Well I need to see the straight line only between 25 and 35. If I delete each element out of such range, I obtain only the point (30,30).

Have you tried plotting a slice of the x and my_curve in plt.plot(x, my_curve) to something like plt.plot(x[:X], my_curve[:X])? — Michael Recachinas
– Michael Recachinas, Commented Jan 19, 2016 at 16:20
I can't do this. my_curve derives by an interpolation. And considering only my_curve[0:X] I lose significant information (I can't reproduce the line) — Alessandro
– Alessandro, Commented Jan 19, 2016 at 16:35
This changes things slightly -- you could search for the index of X in x (we'll call it X_idx) and then do plt.plot(x[:X_idx], my_curve[:X_idx]). — Michael Recachinas
– Michael Recachinas, Commented Jan 19, 2016 at 16:39

B. M. · Accepted Answer · 2016-01-19 19:45:40Z

2

You can just restrict your data : plt.plot(x[0:X], my_curve[0:X]).

EDIT

If your data is sparse, you can interpolate it :

x2=linspace(x[0],x[-1],1000)[0:X]
my_curve2=np.interp(x2,x,my_curve)
plt.plot(x2, my_curve2)

edited Jan 19, 2016 at 19:45

answered Jan 19, 2016 at 16:20

B. M.

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1 Comment

Alessandro Over a year ago

I can't, because my_curve is an interpolated data.

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