How to set xticks in subplots

If I plot a single imshow plot I can use

fig, ax = plt.subplots()
ax.imshow(data)
plt.xticks( [4, 14, 24],  [5, 15, 25] )

to replace my xtick labels.

Now, I am plotting 12 imshow plots using 

f, axarr = plt.subplots(4, 3)
axarr[i, j].imshow(data)

How can I change my xticks just for one of these subplots? I can only access the axes of the subplots with axarr[i, j]. How can I access plt just for one particular subplot?

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最佳答案

有两种方式:

  1. 使用子图对象的轴方法(例如 ax.set_xticks和 ax.set_xticklabels)或
  2. 使用 plt.sca设置 pyplot 状态机(即 plt接口)的当前轴。

As an example (this also illustrates using setp to change the properties of all of the subplots):

import matplotlib.pyplot as plt


fig, axes = plt.subplots(nrows=3, ncols=4)


# Set the ticks and ticklabels for all axes
plt.setp(axes, xticks=[0.1, 0.5, 0.9], xticklabels=['a', 'b', 'c'],
yticks=[1, 2, 3])


# Use the pyplot interface to change just one subplot...
plt.sca(axes[1, 1])
plt.xticks(range(3), ['A', 'Big', 'Cat'], color='red')


fig.tight_layout()
plt.show()

enter image description here

小开

请参阅 matplotlib 存储库中最新的 回答，其中提出了以下解决方案:

  • 如果要设置 xticlabel:

    ax.set_xticks([1,4,5])
ax.set_xticklabels([1,4,5], fontsize=12)

  • If you want to only increase the fontsize of the xticklabels, using the default values and locations (which is something I personally often need and find very handy): 

    ax.tick_params(axis="x", labelsize=12)

  • To do it all at once: 

    plt.setp(ax.get_xticklabels(), fontsize=12, fontweight="bold",
horizontalalignment="left")`

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