Pyplot，将2个数据集绘制到一个图中，跳过y轴的一部分

Question

I am plotting to different datasets into one graph with pylab.plot(), which works great. But one dataset has values between 0% an 25% and the other has values between 75% and 100%. I want to skip 30% to 70% on the y-axis to save some space. Do you have any suggestions how this might be work with pyplot?

EDIT:

For clearness I added the following graphic. I want to skip 30% to 60% on the y axis, so that the red line and the green line come closer together.

Answer 1

The solution is based on Space_C0wb0ys post.

fig = pylab.figure()
ax = fig.add_subplot(111)
ax.plot( range(1,10), camean - 25, 'ro-' )
ax.plot( range(1,10), oemean , 'go-' )
ax.plot( range(1,10), hlmean , 'bo-' ) 
ax.set_yticks(range(5, 60, 5))
ax.set_yticklabels(["5","10","15","20","25","30","...","65","70","75"]) 
ax.legend(('ClassificationAccuracy','One-Error','HammingLoss'),loc='upper right')
pylab.show()

This code creates the following graphic.

Answer 2

You could subtract 40 from the x-values for your second functions to make the range of x-values continuous. This would give you a range from 0% to 70%. Then you can make set the tics and labes of the x-axis as follows:

x_ticks = range(71, 0, 10)
a.set_xticks(x_ticks)
a.set_xticklabels([str(x) for x in [0, 10, 20, 30, 70, 80, 90, 100]])

Where a is the current axes. So basically, you plot your functions in the range from 0% to 70%, but label the axis with a gap.

To illustrate - the following script:

from numpy import arange
import matplotlib.pyplot as plt

x1 = arange(0, 26) # first function
y1 = x1**2

x2 = arange(75, 100) # second function
y2 = x2*4 + 10

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x1, y1)
ax.plot(x2 - 40, y2) # shift second function 40 to left
ax.set_xticks(range(0, 61, 5)) # set custom x-ticks
# set labels for x-ticks - labels have the gap we want
ax.set_xticklabels([str(x) for x in range(0, 26, 5) + range(70, 101, 5)])
plt.show()

Produces the following plot (note the x-labels):