My data has gaps where there is no good data. When this happens, I would want there to be a gap in the line plot, but right now you can see where this happens due to the long straight lines that go to the next good point. Is there a way to make these gaps instead using matplotlib? Currently, I am using the standard code…
plt.plot(x, y) plt.show()
I have not seen anywhere that has a good answer to this. Maybe it is just not possible?
Create a list of chunks where each sublist contains a consecutive number of points and create the corresponding x-axis list. Plot each list one after the other on the same figure with the same color. You will get a plot with gaps.
from matplotlib import pyplot as plt f, ax = plt.subplots(1, 1) ax.plot([1, 2, 3], [1, 2, 3], color='teal') ax.plot([5, 6, 7], [1, 2, 3], color='teal')
I suggest creating a list
Y which contains the sublists to plot individually. It comes down to manipulating your data in a format that is suited for plotting with matplotlib.
for k, _ in enumerate(X): ax.plot(X[k], Y[k], color='teal')