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I am drawing two subplots with Matplotlib, essentially following :
subplot(211); imshow(a); scatter(..., ...) subplot(212); imshow(b); scatter(..., ...) Can I draw lines between those two subplots? How would I do that?
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To plot a line plot in Matplotlib, you use the generic plot() function from the PyPlot instance. There's no specific lineplot() function - the generic one automatically plots using lines or markers. This results in much the same line plot as before, as the values of x are inferred.
To draw multiple lines we will use different functions which are as follows: y = x x = y y = sin(x) y = cos(x) Python3 # importing package importmatplotlib.pyplot as plt importnumpy as np # create data x =[1,2,3,4,5] y =[3,3,3,3,3] # plot lines plt.plot(x, y, label ="line 1") plt.plot(y, x, label ="line 2")
Line plot: Line plots can be created in Python with Matplotlib’s pyplot library. To build a line plot, first import Matplotlib. It is a standard convention to import Matplotlib’s pyplot library as plt. The plt alias will be familiar to other Python programmers.
You could use matplotlib.patches.Arc to plot an arc of the corresponding angle measure. Define a function that could take 2 matplotlib.lines.Line2D objects, calculate the angle and return a matplotlib.patches.Arc object, which you can add to your plot along with the lines. To print the angle values :
A subplot () function is a wrapper function which allows the programmer to plot more than one graph in a single figure by just calling it once. Syntax: matplotlib.pyplot.subplots (nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw)
The solution from the other answers are suboptimal in many cases (as they would only work if no changes are made to the plot after calculating the points).
A better solution would use the specially designed ConnectionPatch:
import matplotlib.pyplot as plt from matplotlib.patches import ConnectionPatch import numpy as np fig = plt.figure(figsize=(10,5)) ax1 = fig.add_subplot(121) ax2 = fig.add_subplot(122) x,y = np.random.rand(100),np.random.rand(100) ax1.plot(x,y,'ko') ax2.plot(x,y,'ko') i = 10 xy = (x[i],y[i]) con = ConnectionPatch(xyA=xy, xyB=xy, coordsA="data", coordsB="data", axesA=ax2, axesB=ax1, color="red") ax2.add_artist(con) ax1.plot(x[i],y[i],'ro',markersize=10) ax2.plot(x[i],y[i],'ro',markersize=10) plt.show() 
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