I am trying to rotate a matplotlib rectangular patch object about a specific point using the rotate_around() and rotate_deg_around() functions. However, the patch is always
@David Zwicker, thanks for pointing me to the right direction. The following code works properly in interactive mode (i.e. can re-size the figure window), executed either independently or within the Ipython QtConsole environment. See the embedded figures below. However, it still doesn't work within an Ipython webnotebook environment! Any help/ideas on that would be great. Thank you.
#Imports
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams['figure.dpi'] = 80 # default = 80
mpl.rcParams['savefig.dpi'] = 80 # default = 100
import matplotlib.patches as patches
import numpy as np
#Need to ensure that the figure.dpi (for displaying figure window) and
#savefig.dpi are consistent.
def redraw(event):
"""Redraw the plot on a resize event"""
if np.size(plt.get_figlabels()):
#Need to check if figure is closed or not and only then do the following
#operations. Else, the following operations will create a new figure
ax.clear()
drawRectangles(ax)
fig.canvas.draw()
else:
pass
def drawRectangles(ax):
"""Function to draw the normal and rotated patch in the transformed domain"""
#Transform for data coordinates to display coordinates
td2dis = ax.transData
coords = td2dis.transform([0.2, 0.5])
#rotate transform
tr = mpl.transforms.Affine2D().rotate_deg_around(coords[0], coords[1], 10)
t = td2dis + tr
rec0 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5)
ax.add_patch(rec0)
#Rotated rectangle patch
rect1 = patches.Rectangle((0.2,0.5),0.25,0.2,color='blue',alpha=0.5,transform=t)
ax.add_patch(rect1);
plt.grid()
figSize = (8,6)
fig = plt.figure("Patch rotate",figsize=figSize)
ax = fig.add_subplot(111)
ax.set_xlim(0,1);ax.set_ylim(0,1);
fig.canvas.mpl_connect('resize_event', redraw)
drawRectangles(ax)
plt.savefig("myfigure.png")
plt.show()
Here are some samples from the above code:
Image saved using the savefig( ) function within the code:

Image saved using the save button in the navigation panel:

Image(s) saved using the save button in the navigation panel after re-sizing:
