Matplotlib how to scale the x axis by a factor of 2-CodePudding

I'm trying to plot something in matplotlib and I want the x axis to have the values. 0 2 4 8 16 32 64 256

plt.xticks Doesn't work because it doesn't evenly scale the x axis. It does what is in the imagine below.

plt.xticks([0, 2, 4 ,8 ,16 ,32, 64, 128, 256])

Is there anyway to get the imagine to look like this imagine below?

Where the numbers are even spaced along the bottom like this?

CodePudding user response：

axis = fig.add_subplot()
ax.set_xscale("log")
ax.xaxis.set_ticklabels([0, 2, 4 ,8 ,16 ,32, 64, 128, 256])
ax.xaxis.set_ticks([0, 2, 4 ,8 ,16 ,32, 64, 128, 256])
    
ax.plot(x)
plt.show

CodePudding user response：

If you want matplotlib to space the values evenly and not according to the numerical values you need to give them as text and not as numbers.
The following code gives a straight line when x is given as text and a curve when x is given as numerical values.

import numpy as np
from matplotlib import pyplot as plt

# numerical values, spacing according to value, gives a curve
x = np.array([2,4,8,16,32,64,128,256]) 

# text values, spaced evenly, gives a straight line
x = np.array(['2','4','8','16','32','64','128','256'])

y = np.arange(1,9)
plt.title("Matplotlib demo")
plt.xlabel("x axis")
plt.ylabel("y axis")
plt.plot(x,y)
plt.show()