Python Matplotlib：可以从一组轴到另一组轴绘制直线吗？

我希望在[100100]处绘制标记“x”，然后在[20%，30%]处绘制“o”（不同的轴，相同的图），并用一条线连接它们。我可以在相同的轴上做类似的事情（使用相同的单位），一次调用绘制直线，另一次调用绘制“x”，最后一次调用绘制“o”

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然而，我如何才能使线从一组轴转到另一组轴？

我不确定我是否完全理解了你的问题，但把这些放在一起，看看这是否是你想要的

import pylab

#generate array of data for example
import numpy as np
x = np.arange(1,250,1)
y = np.arange(1,250,1)

#find marker for your 'x' points
x_marker_location = 100
x_marker_x = x[np.where(x==x_marker_location)]  # np.where looks for location in your data where array equals a value. Alternatively, x_marker_x and y would just be a coordinate value.
x_marker_y = y[np.where(y==x_marker_location)]

#create scaling factors
o_marker_scale_x = 0.2
o_marker_scale_y = 0.3
#find marker for your 'o' points
o_marker_x = x[np.where(x==x_marker_location*o_marker_scale_x)]
o_marker_y = y[np.where(y==x_marker_location*o_marker_scale_y)]

#draw line of all data
pylab.plot(x,y,"-",color='black')
#draw points interested in
pylab.scatter(x_marker_x, x_marker_y, marker='x')
pylab.scatter(o_marker_x, o_marker_y, marker='o')
#draw connecting line - answer to question?
pylab.plot([x_marker_x,o_marker_x],[x_marker_y,o_marker_y],'-',color='red')

#show plot
pylab.show()

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我不确定我是否完全理解了你的问题，但是把这些放在一起看看这是否是你想要的

import pylab

#generate array of data for example
import numpy as np
x = np.arange(1,250,1)
y = np.arange(1,250,1)

#find marker for your 'x' points
x_marker_location = 100
x_marker_x = x[np.where(x==x_marker_location)]  # np.where looks for location in your data where array equals a value. Alternatively, x_marker_x and y would just be a coordinate value.
x_marker_y = y[np.where(y==x_marker_location)]

#create scaling factors
o_marker_scale_x = 0.2
o_marker_scale_y = 0.3
#find marker for your 'o' points
o_marker_x = x[np.where(x==x_marker_location*o_marker_scale_x)]
o_marker_y = y[np.where(y==x_marker_location*o_marker_scale_y)]

#draw line of all data
pylab.plot(x,y,"-",color='black')
#draw points interested in
pylab.scatter(x_marker_x, x_marker_y, marker='x')
pylab.scatter(o_marker_x, o_marker_y, marker='o')
#draw connecting line - answer to question?
pylab.plot([x_marker_x,o_marker_x],[x_marker_y,o_marker_y],'-',color='red')

#show plot
pylab.show()

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您可以使用

annotate

绘制单线：

ax1 = plt.subplot(121)
ax2 = plt.subplot(122)

x = [[1, 2], [3,4]]
y = [[5, 6], [6,4]]

ax1.scatter(x[0], y[0])
ax2.scatter(x[1], y[1])


ax1.annotate('', xy=(x[0][0], y[0][0]), xytext=(x[1][0], y[1][0]), xycoords=ax1.transData, 
         textcoords=ax2.transData, 
         arrowprops=dict(facecolor='black', arrowstyle='-',, clip_on=False))
ax2.annotate('', xy=(x[0][0], y[0][0]), xytext=(x[1][0], y[1][0]), xycoords=ax1.transData, 
         textcoords=ax2.transData, 
         arrowprops=dict(facecolor='black', arrowstyle='-'))

产生这个结果的原因是：

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您可以使用

注释

绘制单线：

ax1 = plt.subplot(121)
ax2 = plt.subplot(122)

x = [[1, 2], [3,4]]
y = [[5, 6], [6,4]]

ax1.scatter(x[0], y[0])
ax2.scatter(x[1], y[1])


ax1.annotate('', xy=(x[0][0], y[0][0]), xytext=(x[1][0], y[1][0]), xycoords=ax1.transData, 
         textcoords=ax2.transData, 
         arrowprops=dict(facecolor='black', arrowstyle='-',, clip_on=False))
ax2.annotate('', xy=(x[0][0], y[0][0]), xytext=(x[1][0], y[1][0]), xycoords=ax1.transData, 
         textcoords=ax2.transData, 
         arrowprops=dict(facecolor='black', arrowstyle='-'))

产生这个结果的原因是：

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您应该包含更多的代码，因为很难准确理解您的意思。如果没有更多的上下文，我们可能只能猜测您是如何创建轴的。您应该包含更多的代码，因为很难准确理解您的意思。如果没有更多的上下文，我们可能只能猜测您是如何创建轴的。