采用
ax.xaxis.tick_top()
将刻度线放在图像的顶部。命令
ax.set_xlabel('X LABEL') ax.xaxis.set_label_position('top')影响标签，而不影响刻度线。
import matplotlib.pyplot as pltimport numpy as npcolumn_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 cellax.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 displayax.invert_yaxis()ax.xaxis.tick_top()ax.set_xticklabels(column_labels, minor=False)ax.set_yticklabels(row_labels, minor=False)plt.show()
