Hide tick labels and offset in matplotlib

Question

I have two subplots that share the same x-axis. I removed the xticklabels of the upper subplot, but the offset "1e7" remains visible. How can I hide it?

Here is the code I used :

import matplotlib.pyplot as plt
import numpy as np

plt.figure()
s1 = plt.subplot(2,1,1)
s1.plot(np.arange(0,1e8,1e7),np.arange(10))
s1.tick_params(axis="x", labelbottom=False)

s2 = plt.subplot(2,1,2, sharex=s1)
s2.plot(np.arange(0,1e8,1e7),np.arange(10))

I also tried s1.get_xaxis().get_major_formatter().set_useOffset(False), but it did nothing and I also tried s1.get_xaxis().get_major_formatter().set_powerlimits((-9,9)) but it impacted also the lower suplot.

For hiding the offset: Did you try axes.formatter.useoffsetalready? Cf. matplotlib remove axis label offset by default the answer of @Christoph — Dilettant
– Dilettant, Commented Jul 5, 2016 at 14:57
I tried s1.get_xaxis().get_major_formatter().set_useOffset(False), but it did nothing and I also tried s1.get_xaxis().get_major_formatter().set_powerlimits((-9,9)) but it impacted also the lower suplot. — j_4321
– j_4321, Commented Jul 5, 2016 at 15:14
Everyone loves these best previous attempts (and why they did not work) inside the questions, as comments are somewhat inaccessible ... — Dilettant
– Dilettant, Commented Jul 5, 2016 at 15:16

tmdavison · Accepted Answer · 2016-07-05 16:06:59Z

1

An alternative is to use plt.subplots to create the subplots, and use sharex=True as an option there. This automatically turns off all ticklabels and the offset_text from the top subplot. From the docs:

sharex : string or bool

If True, the X axis will be shared amongst all subplots. If True and you have multiple rows, the x tick labels on all but the last row of plots will have visible set to False

import matplotlib.pyplot as plt
import numpy as np

fig, (s1, s2) = plt.subplots(2, 1, sharex=True)
s1.plot(np.arange(0,1e8,1e7),np.arange(10))

s2.plot(np.arange(0,1e8,1e7),np.arange(10))

plt.show()

answered Jul 5, 2016 at 16:06

tmdavison

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j_4321 · Accepted Answer · 2016-07-05 15:55:37Z

1

I finally find the answer on https://github.com/matplotlib/matplotlib/issues/4445. I need to add the following line to my code :

plt.setp(s1.get_xaxis().get_offset_text(), visible=False)

answered Jul 5, 2016 at 15:55

j_4321

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