[英]Axis transformation for subplot in matplotlib
It seems that axis transformation for a subplot does not work as for a single plot.似乎子图的轴转换不像单个图那样起作用。
import numpy as np
data = np.random.randn(100)
from matplotlib import pyplot, transforms
# first of all, the base transformation of the data points is needed
base = pyplot.gca().transData
rot = transforms.Affine2D().rotate_deg(90)
# define transformed line
line = pyplot.plot(data, 'r--', transform= rot + base)
# or alternatively, use:
# line.set_transform(rot + base)
pyplot.show()
When using this scheme for a subplot it works erratically.当将此方案用于子图时,它会不稳定地工作。 It works for the last subplot as shown below.
它适用于最后一个子图,如下所示。
import numpy as np
from matplotlib import pyplot, transforms
# Example data to display
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)
##########################################
fig, axs = pyplot.subplots(2, 2)
axs[0, 0].plot(x, y)
axs[0, 0].set_title('Axis [0, 0]')
axs[0, 1].plot(x, y, 'tab:orange')
axs[0, 1].set_title('Axis [0, 1]')
axs[1, 0].plot(x, y, 'tab:green' )
axs[1, 0].set_title('Axis [1, 0]')
base = pyplot.gca().transData
rot = transforms.Affine2D().rotate_deg(90)
axs[1, 1].plot(x, -y, 'tab:red' , transform = rot + base )
axs[1, 1].set_title('Axis [1, 1]')
for ax in axs.flat:
ax.set(xlabel='x-label', ylabel='y-label')
# Hide x labels and tick labels for top plots and y ticks for right plots.
for ax in axs.flat:
ax.label_outer()
When trying this for the third subplot (example below), the trace is now shown.当为第三个子图(下面的示例)尝试此操作时,现在显示了跟踪。 Could someone help to solve this issue.
有人可以帮助解决这个问题。 Thanks.
谢谢。
# Example data to display
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)
##########################################
fig, axs = pyplot.subplots(2, 2)
axs[0, 0].plot(x, y)
axs[0, 0].set_title('Axis [0, 0]')
axs[0, 1].plot(x, y, 'tab:orange')
axs[0, 1].set_title('Axis [0, 1]')
base = pyplot.gca().transData
rot = transforms.Affine2D().rotate_deg(90)
axs[1, 0].plot(x, y, 'tab:green' , transform = rot + base )
axs[1, 0].set_title('Axis [1, 0]')
axs[1, 1].plot(x, -y, 'tab:red' )
axs[1, 1].set_title('Axis [1, 1]')
for ax in axs.flat:
ax.set(xlabel='x-label', ylabel='y-label')
# Hide x labels and tick labels for top plots and y ticks for right plots.
for ax in axs.flat:
ax.label_outer()
When you do pyplot.gca()
after fig, axs = pyplot.subplots(2, 2)
, the current axes is axs[1,1]
as you can verify by pyplot.gca().get_gridspec()
.当您在
fig, axs = pyplot.subplots(2, 2)
之后执行pyplot.gca()
时,当前轴为axs[1,1]
,您可以通过pyplot.gca().get_gridspec()
进行验证。 This means you're trying to plot outside the axes axs[1,0]
.这意味着您正在尝试在轴
axs[1,0]
之外绘图。
So you need to change base = pyplot.gca().transData
to所以你需要将
base = pyplot.gca().transData
为
base = axs[1, 0].transData
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.