Matplotlib matshow: show all tick labels

Question

I am new to Matplotlib and I created a Heatmap of some number's correlation using the matshow function. Currently the code below only displays every 5th label (or tick), and I want it to display all of it. The code:

names = list('ABCDEDFGHIJKLMNOPQRSTU')

#just some random data for reproductability
df = pd.DataFrame(np.random.randint(0,100,size=(100, 22)), columns=names)

fig = plt.figure()
ax = fig.add_subplot(111)

cor_matrix = df.corr()

#these two lines don't change the outcome
ax.set_xticks(np.arange(len(names)))
ax.set_yticks(list(range(0,len(names))))

ax.matshow(cor_matrix)
plt.show()

The result looks like this:

我读到这个问题：How to display all label values in matplotlib? 但那里的答案对我不起作用。如果我不明确设置刻度，或者以任何方式设置它们，则该数字不会改变。

还尝试了这个问题的解决方案：How to make matplotlib show all x paths? 是的plt.xticks(list(range(0,len(names))))，但这也没有任何作用。

Answer 1

您可以使用MultipleLocator：

from matplotlib.ticker import MultipleLocator  # <- HERE

names = list('ABCDEDFGHIJKLMNOPQRSTU')

#just some random data for reproductability
df = pd.DataFrame(np.random.randint(0,100,size=(100, 22)), columns=names)

fig = plt.figure()
ax = fig.add_subplot(111)

cor_matrix = df.corr()

ax.matshow(cor_matrix)
ax.yaxis.set_major_locator(MultipleLocator(1))  # <- HERE
ax.xaxis.set_major_locator(MultipleLocator(1))  # <- HERE
plt.show()