[英]remove overlapping tick marks on subplot in matplotlib
I've create the following set of subplots using the following function: 我使用以下函数创建了以下一组子图:
def create31fig(size,xlabel,ylabel,title=None):
fig = plt.figure(figsize=(size,size))
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
plt.subplots_adjust(hspace=0.001)
plt.subplots_adjust(wspace=0.001)
ax1.set_xticklabels([])
ax2.set_xticklabels([])
xticklabels = ax1.get_xticklabels()+ ax2.get_xticklabels()
plt.setp(xticklabels, visible=False)
ax1.set_title(title)
ax2.set_ylabel(ylabel)
ax3.set_xlabel(xlabel)
return ax1,ax2,ax3
How do I make sure the top and bottom of subplot(312) do not overlap with their neighbours? 如何确保子图(312)的顶部和底部不与其邻居重叠? Thanks.
谢谢。
In the ticker module there is a class called MaxNLocator that can take a prune kwarg. 在自动收报机模块中有一个名为MaxNLocator的类,它可以采用修剪kwarg。
Using that you can remove the topmost tick of the 2nd and 3rd subplots: 使用它你可以删除第二和第三个子图的最顶部的刻度:
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator # added
def create31fig(size,xlabel,ylabel,title=None):
fig = plt.figure(figsize=(size,size))
ax1 = fig.add_subplot(311)
ax2 = fig.add_subplot(312)
ax3 = fig.add_subplot(313)
plt.subplots_adjust(hspace=0.001)
plt.subplots_adjust(wspace=0.001)
ax1.set_xticklabels([])
ax2.set_xticklabels([])
xticklabels = ax1.get_xticklabels() + ax2.get_xticklabels()
plt.setp(xticklabels, visible=False)
ax1.set_title(title)
nbins = len(ax1.get_xticklabels()) # added
ax2.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper')) # added
ax2.set_ylabel(ylabel)
ax3.yaxis.set_major_locator(MaxNLocator(nbins=nbins,prune='upper')) # added
ax3.set_xlabel(xlabel)
return ax1,ax2,ax3
create31fig(5,'xlabel','ylabel',title='test')
Sample image after making those adjustments: 进行这些调整后的示例图像:
Aside: If the overlapping x- and y- labels in the lowest subplot are an issue consider "pruning" one of those as well. 旁白:如果最低子图中的重叠x和y标签是一个问题,也可以考虑“修剪”其中一个。
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