matplotlib, how to compress parts of x axis

Question

Hey guys this is my first time posting here and hopefully this question isn\'t too trivial. I tried looking for a solution to this but couldn\'t find what I wanted.

Answer 1

This should do it:

from matplotlib import pyplot as plt

fig,ax = plt.subplots()

x = [1,2,3,10,11]
y = [1,2,3,4,5]

ax.plot(y,marker='o')
ax.set_xticks([i for i in range(len(y))])
ax.set_xticklabels(x)
plt.show()

I added the markers to visualise the data points better. The result looks like this:

EDIT:

If you want to visualise that the axis is not continuous, you can find help in this answer.

EDIT2:

In my example, I only passed the y-values to the plot function, which means that the x-values are implicitly calculated to be [1,2,3,4,5]. You can of course also pass the x-values for each plot command explicitly and thereby variate at which x-value which plot starts. For the example in your comment, this would be:

fig,ax = plt.subplots()

y1 = [1,2,3,4,5]
x1 = [i for i in range(len(y1))]
y2 = [2,3,4,5,6]
x2 = [i+1 for i in range(len(y2))]

xticks = list(set(x1+x2)) #or more explicit: [i for i in range(6)]
xtick_labels = [1,2,3,10,11,12]

ax.plot(x1,y1,marker='o')
ax.plot(x2,y2,marker='x')
ax.set_xticks(xticks)
ax.set_xticklabels(xtick_labels)
plt.show()