I've been doing some linear regression and want to plot the markers (original data) and the lines (regression) on the same line in the legend. For simplicity, here's a fake regression:
from pylab import *
ax = subplot(1,1,1)
p1, = ax.plot([1,2,3,4,5,6],'r-', label="line 1")
p2, = ax.plot([6,5,4,3,2,1],'b-', label="line 2")
p3, = ax.plot([1.2,1.8,3.1,4.1,4.8,5.9],'ro', label="dots 1")
p4, = ax.plot([6.1,5.1,3.8,3.1,1.9,0.9],'bo', label="dots 2")
ax.legend(loc='center right',numpoints=1)
show()
So I want the legend to consist of 2 lines, each showing a line and a dot, instead of 4 lines. How can I do that?
You just need to use legend
a bit more directly. See Matplotlib - How to make the marker face color transparent without making the line transparent and user guide.
ax.legend([(p1, p3), (p2, p4)], ['set 1', 'set 2'])
plt.draw()
You can just try with
from pylab import *
ax = subplot(1,1,1)
p1, = ax.plot([1,2,3,4,5,6],'r-')
p2, = ax.plot([6,5,4,3,2,1],'b-')
p3, = ax.plot([1.2,1.8,3.1,4.1,4.8,5.9],'r-o', label="dots 1")
p4, = ax.plot([6.1,5.1,3.8,3.1,1.9,0.9],'b-o', label="dots 2")
ax.legend(loc='center right',numpoints=1)
show()
or if you want a poor man's solution, you can plot something outside your plotting range and label only that plot. For instance
p5 = ax.plot(ones(2)*1e6,ones(2)*1e6,'r-o', label="dots 1")
do the same for the other label and then force your plot not to include p5
, for example, like this
ax.set_xlim(0,10);ax.set_ylim(0,10)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With