Reputation: 51
I am trying to plot a rectangle onto the legend in matplotlib.
To illustrate how far I have gotten I show my best attempt, which does NOT work:
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import numpy as np
Fig = plt.figure()
ax = plt.subplot(111)
t = np.arange(0.01, 10.0, 0.01)
s1 = np.exp(t)
ax.plot(t, s1, 'b-', label = 'dots')
leg = ax.legend()
rectangle = Rectangle((leg.get_frame().get_x(),
leg.get_frame().get_y()),
leg.get_frame().get_width(),
leg.get_frame().get_height(),
fc = 'red'
)
ax.add_patch(rectangle)
plt.show()
The rectangle just isn't draw anywhere in the figure. If I look at the values of leg.get_frame().get_x(), leg.get_frame().get_y()), leg.get_frame().get_width() and leg.get_frame().get_height(), I see that they are 0.0, 0.0, 1.0 and 1.0 respectively.
My problem thus sees to be, to find the co-ordinates of the frame of the legend.
It would be really great if you could help me out.
Thanks for reading this far.
Upvotes: 5
Views: 7564
Reputation: 730
This link may have the exact thing you are looking for. http://matplotlib.org/users/legend_guide.html#creating-artists-specifically-for-adding-to-the-legend-aka-proxy-artists
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
red_patch = mpatches.Patch(color='red', label='The red data')
plt.legend(handles=[red_patch])
plt.show()
Upvotes: 4
Reputation:
The trouble is that the position of the legend is not known in advance. Only by the time you render the figure (calling plot()
), is the position decided.
A solution I came across is to draw the figure twice. In addition, I've used axes coordinates (default is data coordinates) and scaled the rectangle so you still see a bit of the legend behind it. Note that I had to set the legend and rectangle zorder
as well; the legend gets drawn later than the rectangle and thus the rectangle otherwise disappears behind the legend.
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
Fig = plt.figure()
ax = plt.subplot(111)
t = np.arange(0.01, 10.0, 0.01)
s1 = np.exp(t)
ax.plot(t, s1, 'b-', label = 'dots')
leg = ax.legend()
leg.set_zorder(1)
plt.draw() # legend position is now known
bbox = leg.legendPatch.get_bbox().inverse_transformed(ax.transAxes)
rectangle = Rectangle((bbox.x0, bbox.y0),
bbox.width*0.8, bbox.height*0.8,
fc='red', transform=ax.transAxes, zorder=2)
ax.add_patch(rectangle)
plt.show()
Upvotes: 2