Top and right axes labels in matplotlib pyplot-CodePudding

I have a matplotlib/pyplot plot that appears as I want, in that the axes show the required range of values from -1 to 1 on both the x and y axes. I have labelled the x and y axes. However I also wish to label the right-hand vertical axis with the text "Thinking" and the top axis with the text "Extraversion".

I have looked at the matplotlib documentation but can't get my code to execute using set_xlabel and set_ylabel. I have commented these lines out in my code so my code runs for now - but hopefully the comments will make it clear enough what I am trying to do.

import matplotlib.pyplot as plt

w = 6
h = 6
d = 70
plt.figure(figsize=(w, h), dpi=d)
x = [-0.34,-0.155,0.845,0.66,-0.34]
y = [0.76,0.24,-0.265,0.735,0.76,]
 
plt.plot(x, y)
plt.xlim(-1,1)
plt.ylim(-1,1)
plt.xlabel("Intraverted")
plt.ylabel("Feeling")
#secax = plt.secondary_xaxis('top')
#secax.set_xlabel('Extraverted')
#secay = plt.secondary_xaxis('right')
#secay.set_ylabel('Thinking')
#plt.show()
plt.savefig("out.png")

CodePudding user response：

As @Mr. T pointed out, there is no plt.secondary_xaxis method so you need the axes object

import matplotlib.pyplot as plt

plt.figure(figsize=(6, 6), constrained_layout=True, dpi=70)
x = [-0.34,-0.155,0.845,0.66,-0.34]
y = [0.76,0.24,-0.265,0.735,0.76,]
 
plt.plot(x, y)
plt.xlim(-1,1)
plt.ylim(-1,1)
plt.xlabel("Intraverted")
plt.ylabel("Feeling")
secax = plt.gca().secondary_xaxis('top')
secax.set_xlabel('Extraverted')
secay = plt.gca().secondary_yaxis('right')
secay.set_ylabel('Thinking')
#plt.show()
plt.savefig("out.png")

Better, would be just to create the axes object from the start:

fig, ax = plt.subplots(figsize=(w, h), constrained_layout=True, dpi=d)
...
ax.plot(x, y)
ax.set_xlim(-1, 1)
...
secax = ax.secondary_xaxis('top')
...
fig.savefig("out.png")

Further note the use of constrained_layout=True to make the secondary yaxis label fit on the figure.

CodePudding user response：

i solved it with plt.subplots()

import matplotlib.pyplot as plt

w = 6
h = 6
d = 70
plt.figure(figsize=(w, h), dpi=d)
x = [-0.34,-0.155,0.845,0.66,-0.34]
y = [0.76,0.24,-0.265,0.735,0.76,]

fig , ax1 = plt.subplots()

ax1.plot(x, y)


plt.xlim(-1,1)
plt.ylim(-1,1)
plt.xlabel("Intraverted")
plt.ylabel("Feeling")


ax2 = ax1.twinx()
plt.ylabel('right corner')