Change axes after plot

Question

After having plotted some data:

import numpy as np
import matplotlib.pyplot as plt

plt.plot(np.linspace(-3.0, 3.0, 10), np.random.random(10))
plt.plot(np.linspace(0.0, 7.0, 50),  np.random.random(50))
plt.show()

I'd like to change the x-axis labels to 0.0 ... 50.0 instead of -4.0 ... 8.0 (but keeping exactly the same plot). Is it possible to do it in one-line?

What exactly do you mean in one-line ? Without an additional one to your code ? — Moritz
– Moritz, Commented Jan 11, 2016 at 15:08
@Moritz : I'd like to change the axis' label to 0.0 ... 50.0 like this : gget.it/hodulb9e/EovWW.png — Basj
– Basj, Commented Jan 11, 2016 at 15:15
I suggest you scale your data like data - min(data) and do plt.xlim(0,50) — Moritz
– Moritz, Commented Jan 11, 2016 at 15:18
I would like to do it without modifying data, but just faking the x-axis label — Basj
– Basj, Commented Jan 11, 2016 at 15:19

Joël · Accepted Answer · 2016-01-11 15:23:05Z

1

You can use the following function, and give numerical labels:

import numpy as np
import matplotlib.pyplot as plt

plt.plot(np.linspace(-3.0, 3.0, 10), np.random.random(10))
plt.plot(np.linspace(0.0, 7.0, 50), np.random.random(50))

plt.xticks([-4, -2, 0, 2, 4, 6, 8], ['0', '10', '20', '30', '40', '50'])

answered Jan 11, 2016 at 15:23

Joël

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2 Comments

tmdavison Over a year ago

I understand that this is what the OP requested, but this isn't really a great solution in general, since you've decoupled the tick labels from the data coordinates

Joël Over a year ago

Sure, this is making the graph to lie about its content. But if one doesn't have a way to change the generation of the lines but only the figure generation, it may be useful.

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