For matplotlib there's always multiple ways to do the same thing. You can use the method plt.xticks(<ticks>,<labels>) where <ticks> is a ... ... <看更多>

We see that both major and minor tick labels have their locations specified by a LogLocator (which makes sense for a logarithmic plot). Minor ticks, though, ... ... <看更多>

I suggest to improve the error message when an argument of xticks is missing. This would considerably ease debugging. from matplotlib import ... ... <看更多>

Use the second argument of xticks to set the labels: import numpy as np import matplotlib.pyplot as plt data = [[np.random.rand(100)] for i in range(3)] ... ... <看更多>