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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()

I'm trying to find a glitch in an FPGA simulation.  The data stored in a file is:
(simulation time, y)
 
In reality, if I plot that I get large gaps because the simulation time continues and data is only output periodically.  In other words simulation time is not continuous.  I'd like to view the data without the gaps, but with simulation time annotating the x-axis so I can determine where the glitch occurs.  
I've tried a variety of things:
#ax1.plot(x1, x1,'b--')
#ax3 = ax2.twiny()
ax2.set_xticklabels(simtimedata, fontdict=None, minor=False, rotation = 45)
ax2.plot( idatanp.real,'k--',idatanp.imag,'g.-')
#ax2.plot(xdat, idatanp.real,'k--',xdat,idatanp.imag,'g.-')
#ax3.plot(simtimedata, idatanp.real,'k--',alpha=0)
 
but cannot get the axis to both show the data all together AND show where the glitch occurs.  I thought the twiny might help to put another x axis up so I could plot the data first with the x axis incrementing based on when the data is read in, and then trying to place labels showing simulation time.
 
Does anyone have any ideas how I could do this?
Kurt
 		 	   		  

Dear all,

I have the following code that did not work:

################################
import matplotlib.pyplot as plt

# Make the plot
fig, axs = plt.subplots(3, 1, figsize=(3.27, 6))
axs[0].plot(range(5), range(5), label='label 1')
axs[0].plot(range(5), range(4, -1, -1), label='label 2')
axs[0].legend(bbox_to_anchor=(0, 1.1, 1., 0.1), mode='expand', ncol=2,
frameon=True, borderaxespad=0.)

# Adjust subplots to make room
fig.subplots_adjust(top=.5)

fig.savefig('test.png', format='png', dpi=300)
##################################

It can be seen that the fig.subplots_adjust did not work at all.
The picture from the notebook is normal, but the saved png file
(attached test.png) is cropped.

I am using WinPython 3.3.2.3 64 bit, with matplotlib version 1.3.0 and
CPython 3.3. This happened in IPython Notebook. The backend is the
in-line one.

Any help would really be appreciated. Thanks!

-Shawn

-- 
Yuxiang "Shawn" Wang
Gerling Research Lab
University of Virginia
yw...@vi...
+1 (434) 284-0836