移动前：

我们有两种方法可以实现这个目标：

import warnings
warnings.filterwarnings('ignore')import numpy as np
import matplotlib.pyplot as pltcolumn_labels = list('ABCD')
row_labels = list('WXYZ')data = np.random.rand(4, 4)fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[1]) + 0.5, minor=False)
ax.set_yticks(np.arange(data.shape[0]) + 0.5, minor=False)# want a more natural, table-like display
# Method 1:
ax.invert_yaxis()
ax.xaxis.tick_top()
# Method 2:
# ax.xaxis.set_ticks_position('top')ax.set_xticklabels(column_labels, minor=False)
ax.set_yticklabels(row_labels, minor=False)plt.show()
plt.clf()

移动后：