Matplotlib - No xlabel and xticks for double axes in custom shapes

Question

What I want to do is the 2x2 charts in the subtitle. Then for each figure I will use two y axes. Therefore, for each chart, I used the twinx () method. The problem, as you see in the figure that I shared, is that it does not show xlabel and xticks for the first line. For the second line, everything is fine. I pointed out the problem in the red font in the figure ("No xlabel and xticks !!!").

Each chart has its own x-axis and y-axis, and this is not shared.

I changed this code a lot and narrowed down the problem creator. This is because I use doublex () in the top lines. If I try to remove the secondary y axis, everything will return to normal, and xlabel and ylabel for the top rows will be displayed correctly.

I do not know what's the problem!

This is the code I'm working on.

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io import StringIO

s = StringIO(u"""     amount     price
A     40929   4066443
B     93904   9611272
C    188349  19360005
D    248438  24335536
E    205622  18888604
F    140173  12580900
G     76243   6751731
H     36859   3418329
I     29304   2758928
J     39768   3201269
K     30350   2867059""")

df = pd.read_csv(s, index_col=0, delimiter=' ', skipinitialspace=True)

fig = plt.figure() 

ax_2 = fig.add_subplot(222, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.plot([1, 3, 5, 7, 9])
ax_22.plot([1.0/x for x in [1, 3, 5, 7, 9]])
ax_2.set_xlabel("AX2 X Lablel")
ax_2.set_ylabel("AX2 Y Lablel")
ax_22.set_ylabel("AX2_Twin Y Lablel")


ax_2 = fig.add_subplot(223, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.plot([100, 300, 500, 700, 900])
ax_22.plot([x*x for x in [100, 300, 500, 700, 900]])
ax_2.set_xlabel("AX3 X Lablel")
ax_2.set_ylabel("AX3 Y Lablel")
ax_22.set_ylabel("AX3_Twin Y Lablel")




ax_2 = fig.add_subplot(224, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.set_xlabel("AX4 X Lablel")
ax_2.set_ylabel("AX4 Y Lablel")
ax_22.set_ylabel("AX4_Twin Y Lablel")






ax = fig.add_subplot(221, sharex=None, sharey=None) 
ax2 = ax.twinx() 
width = 0.4
df.amount.plot(kind='bar', color='red', ax=ax, width=width, position=1, sharex=False, sharey=False)
df.price.plot(kind='bar', color='blue', ax=ax2, width=width, position=0, sharex=False, sharey=False)

ax.set_xlabel("Alphabets")
ax.set_ylabel('Amount')
ax2.set_ylabel('Price')



plt.subplots_adjust(wspace=0.8, hspace=0.8)
plt.savefig("t1.png", dpi=300)
plt.show()

It generates the following picture:

Edition:

Thanks for answers. However, my problem still exists when using Pandas in charting. I opened a new question. Please take a look at this:

matplotlib - Pandas - no xlabel and xticks for double axes in adjusted digits

Answer 1

The code you provided gives the desired result.

This makes me think that there is a problem with your console or matplotlib version - perhaps you can provide more information about how you use the code.

I would recommend moving ax.set_xlabelto twinx, for example:

ax_2 = fig.add_subplot(222, sharex=None, sharey=None)
ax_22 = ax_2.twinx()
ax_2.set_xlabel("AX2 X Lablel")
ax_2.plot([1, 3, 5, 7, 9])

# Becomes...

ax_2 = fig.add_subplot(222, sharex=None, sharey=None)
ax_2.set_xlabel("AX2 X Lablel")
ax_2.plot([1, 3, 5, 7, 9])
ax_22 = ax_2.twinx()

EDIT gridspec. . :

import matplotlib.pyplot as plt
import matplotlib.gridspec as gspec
import numpy as np

fig = plt.figure()
gs = gspec.GridSpec(2, 2)
gs.update(hspace=0.7, wspace=0.7)
ax1 = plt.subplot(gs[0, 0])
ax2 = plt.subplot(gs[1, 0])
ax3 = plt.subplot(gs[0, 1])
ax4 = plt.subplot(gs[1, 1])


x1 = np.linspace(1,10,10)

ax1.plot(x1, x1**2)
ax1.set_xlabel('ax1 x')
ax1_2 = ax1.twinx()
ax1_2.plot(x1, x1**3)
ax1_2.set_ylabel('ax1_2 y')
ax1.set_ylabel('ax1 y')

# To save time I left the other cells blank, but it should work fine.

plt.show()

:

Answer 2

. , . , :

fig = plt.figure()
fig.add_subplot(212)
ax = fig.add_subplot(211)
ax2 = ax.twinx()
pd.Series(range(10)).plot(ax=ax)

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fig = plt.figure() 
ax = fig.add_subplot(211)
ax2 = ax.twinx()
pd.Series(range(10)).plot(ax=ax)
fig.add_subplot(212)

, , :

fig = plt.figure() 

ax = fig.add_subplot(221, sharex=None, sharey=None) 
ax2 = ax.twinx() 
width = 0.4
df.amount.plot(kind='bar', color='red', ax=ax, width=width, position=1, sharex=False, sharey=False)
df.price.plot(kind='bar', color='blue', ax=ax2, width=width, position=0, sharex=False, sharey=False)

ax_2 = fig.add_subplot(222, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.plot([1, 3, 5, 7, 9])
ax_22.plot([1.0/x for x in [1, 3, 5, 7, 9]])
ax_2.set_xlabel("AX2 X Lablel")
ax_2.set_ylabel("AX2 Y Lablel")
ax_22.set_ylabel("AX2_Twin Y Lablel")

ax_2 = fig.add_subplot(223, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.plot([100, 300, 500, 700, 900])
ax_22.plot([x*x for x in [100, 300, 500, 700, 900]])
ax_2.set_xlabel("AX3 X Lablel")
ax_2.set_ylabel("AX3 Y Lablel")
ax_22.set_ylabel("AX3_Twin Y Lablel")

ax_2 = fig.add_subplot(224, sharex=None, sharey=None) 
ax_22 = ax_2.twinx()
ax_2.set_xlabel("AX4 X Lablel")
ax_2.set_ylabel("AX4 Y Lablel")
ax_22.set_ylabel("AX4_Twin Y Lablel")

ax.set_xlabel("Alphabets")
ax.set_ylabel('Amount')
ax2.set_ylabel('Price')

plt.subplots_adjust(wspace=0.8, hspace=0.8)
plt.savefig("t1.png", dpi=300)
plt.show()

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