[英]Setting the same axis limits for all subplots in matplotlib
This problem seems simple enough, but I can't find a pythonic way to solve it.这个问题看起来很简单,但我找不到解决它的pythonic方法。 I have several (four) subplots that are supposed to have the same
xlim
and ylim
.我有几个(四个)子图应该具有相同的
xlim
和ylim
。 Iterating over all subplots à la迭代所有子图 à la
f, axarr = plt.subplots(4)
for x in range(n):
axarr[x].set_xlim(xval1, xval2)
axarr[x].set_ylim(yval1, yval2)
isn't the nicest way of doing things, especially for 2x2 subplots – which is what I'm actually dealing with.不是最好的做事方式,尤其是对于 2x2 子图——这正是我真正要处理的。 I'm looking for something like
plt.all_set_xlim(xval1, xval2)
.我正在寻找类似
plt.all_set_xlim(xval1, xval2)
。
Note that I don't want anything else to change (ticks and labels should be controlled separately).请注意,我不想更改任何其他内容(刻度和标签应单独控制)。
EDIT: I'm using the plt.subplots(2, 2)
wrapper.编辑:我正在使用
plt.subplots(2, 2)
包装器。 Following dienzs answer, I tried plt.subplots(2, 2,sharex=True, sharey=True)
– almost right, but now the ticks are gone except for the left and bottom row.在 dienzs 回答之后,我尝试了
plt.subplots(2, 2,sharex=True, sharey=True)
- 几乎是正确的,但现在除了左行和底行之外,刻度线都消失了。
Set the xlim
and ylim
properties on the Artist object by matplotlib.pyplot.setp()
https://matplotlib.org/3.1.0/api/_as_gen/matplotlib.pyplot.setp.html通过
matplotlib.pyplot.setp()
https://matplotlib.org/3.1.0/api/_as_gen/matplotlib.pyplot.setp.html在 Artist 对象上设置xlim
和ylim
属性
# Importing matplotlib.pyplot package.
import matplotlib.pyplot as plt
# Assigning 'fig', 'ax' variables.
fig, ax = plt.subplots(2, 2)
# Defining custom 'xlim' and 'ylim' values.
custom_xlim = (0, 100)
custom_ylim = (-100, 100)
# Setting the values for all axes.
plt.setp(ax, xlim=custom_xlim, ylim=custom_ylim)
You can try this.你可以试试这个。
#set same x,y limits for all subplots
fig, ax = plt.subplots(2,3)
for (m,n), subplot in numpy.ndenumerate(ax):
subplot.set_xlim(xval1,xval2)
subplot.set_ylim(yval1,yval2)
您可以使用共享轴来共享 x 和/或 y 限制,但允许以任何其他方式自定义轴。
This is not at all elegant, but it worked for me...这一点都不优雅,但它对我有用......
fig, axes = plt.subplots(6, 3, sharex=True)
axes[0, 0].set_xlim(right=10000) # sharex=True propagates it to all plots
for i in range(6):
for j in range(3):
axes[i, j].plot('Seconds', df.columns[2+3*i+j], data=df) # your plot instructions
plt.subplots_adjust(wspace=.5, hspace=0.2)
If you have multiple subplots, ie如果你有多个子图,即
fig, ax = plt.subplots(4, 2)
You can use it.你可以使用它。 It gets limits of y ax from first plot.
它从第一个图中获得 y 轴的限制。 If you want other subplot just change index of
ax[0,0]
.如果您想要其他子图,只需更改
ax[0,0]
索引。
plt.setp(ax, ylim=ax[0,0].get_ylim())
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.