Dear all, manually placing labels when using clabel seems to be broken in Matplotlib 1.3.0.
I'm on OS X 10.8.5 and have Matplotlib installed via macports. Today I updated all installed ports and thereby got the new version of Matplotlib. Now manually placing cline labels creates weird artefacts. I attached a demo script at the bottom and uploaded a screenshot at http://i.imgur.com/u6BLcRB.png . As you can see there is also a depreciation warning. Now I downgraded to Matoplotlib 1.2.1 again (keeping all other updates in place) and the problem is gone. I currently have very little time for bug hunting and therefore will just stay away from updates for a while. Maybe someone can figure out what's going wrong. Best, Felix ########################################## # demo.py ########################################## import numpy as np from matplotlib import mlab import pylab as plt # Broken manual labelling demo # Adapted from pylab_examples example code: contour_demo.py delta = 0.025 x = np.arange(-3.0, 3.0, delta) y = np.arange(-2.0, 2.0, delta) X, Y = np.meshgrid(x, y) Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1) # difference of Gaussians Z = 10.0 * (Z2 - Z1) plt.figure() CS = plt.contour(X, Y, Z) plt.clabel(CS, inline=1, fontsize=10) plt.title('Simplest default with labels') plt.show() plt.figure() CS = plt.contour(X, Y, Z) plt.clabel(CS, inline=1, fontsize=10, manual=True) plt.title('Position labels manually') plt.show() ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60133471&iu=/4140/ostg.clktrk _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users