Matplotlib:如何为每个子图添加 xlabel、标题
我正在尝试使用 plt.subplots
绘制多个热图.我发现的一个例子如下:
I'm trying to plot multiple heatmaps using the plt.subplots
. An example I found is as follows:
import numpy as np
import matplotlib.pyplot as plt
# Generate some data that where each slice has a different range
# (The overall range is from 0 to 2)
data = np.random.random((4,10,10))
data *= np.array([0.5, 1.0, 1.5, 2.0])[:,None,None]
# Plot each slice as an independent subplot
fig, axes = plt.subplots(nrows=1, ncols=4,figsize=(12,3))
i=0
for dat, ax in zip(data, axes.flat):
# The vmin and vmax arguments specify the color limits
im = ax.imshow(dat, vmin=0, vmax=2,cmap='Reds')
# ax.xlabel(str(i))
# ax.ylabel(str(i))
i += 1
# Make an axis for the colorbar on the right side
cax = fig.add_axes([0.95, 0.155, 0.03, 0.67])
fig.colorbar(im, cax=cax)
figtype = 'jpg'
fig.savefig('aaa.jpg',format = figtype,bbox_inches='tight')
fig.tight_layout()
如果我注释以下两行(在上面的示例中完成),则代码成功:
The code succeeds if I comment the following two lines (which is done in the above example):
ax.xlabel(str(i))
ax.ylabel(str(i))
如果我使用这两行,则会收到错误消息:
If I use the two lines, I get errors saying:
AttributeError: 'AxesSubplot' object has no attribute 'xlabel'
我怎样才能使它正确?
谢谢大家对我的帮助!
使用matplotlib面向对象的接口时,要使用的正确命令是 ax.set_xlabel
和 ax.set_ylabel
.
When using the matplotlib object-oriented interface, the correct commands to use are ax.set_xlabel
and ax.set_ylabel
.
(将这些与状态机接口的 plt.xlabel
等进行比较).
(Compare these to plt.xlabel
, etc., for the state-machine interface).
同样,要设置标题,您需要 ax.set_title
Likewise, to set a title, you need ax.set_title
您可以在api文档 查看全文