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Hi,
I am trying to produce a set of plots using grispec. There should be an images shown in each of the axes (using imshow) except in one of the axes, where I want to show/plot some text. However, the text seems to be too long to be displayed in one line. Is there a way to print it in something like a text box? 
I created a minimal example (see below)
I can not / do not want to make a string variable with three quotation marks (docstring), because I am reading the text from a bigger ascii file.
Thanks for your help!
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
def main():
 """
 goal is to show justified text in one axes of matplotlib
 there are two examples I found on stackoverflow. But I am not sure how they could be applicable here
 http://stackoverflow.com/questions/5777576/is-there-a-way-of-drawing-a-caption-box-in-matplotlib
 http://stackoverflow.com/questions/4018860/text-box-in-matplotlib
 """
 plt.close('all')
 fig = plt.figure(figsize=(5, 10))
 plt.subplots_adjust(left=0.1, right=0.9, top=0.95, bottom=0.1)
 n_rows = 5
 outer_grid = gridspec.GridSpec(n_rows, 2 )# ,wspace=0.0, hspace=0.0
 
 lst_files = [ 'circle.png'
 , 'circle.png'
 , 'circle.png'
 , 'circle.png'
 , 'text'
 , 'circle.png'
 , 'circle.png'
 , 'circle.png'
 , 'circle.png']
 for cur_map_id, cur_map_file in enumerate(lst_files):
 
 cur_row = (cur_map_id % n_rows)
 if cur_map_id / n_rows == 0:
 cur_column = 0
 else:
 cur_column = 1
 
 # preparation: no axes
 ax = plt.subplot(outer_grid[cur_row, cur_column], frameon=False)
 ax.axes.get_yaxis().set_visible(False)
 ax.axes.get_xaxis().set_visible(False)
 
 # fix for the fact that the fourth entry is text and not in tmp_lst_imgs
 if cur_map_id > 4: 
 cur_map_id = cur_map_id - 1
 
 # the actual plotting
 if cur_map_file == 'text':
 lorem = 'Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.'
 ax.text(0.05, 0.9, lorem, size=6)
 else:
 print cur_map_id
 im = plt.imread(cur_map_file)
 ax.imshow(im)
 ax.set_title(cur_map_file, size=6)
 fig.add_subplot(ax)
 
 plt.savefig('blah.png', dpi=300)
 print "done!"
 
if __name__ == '__main__':
 main() 

Hi,
I wrote a short routine to look through a set of images that result from
slightly different processing of the same data. I want to compare three
different images and be able to zoom them all in the same way and then
move onto the next set of three. The best way that I've found to do
that so far involves using mpl_toolkits.axes_grid1.ImageGrid. It all
works fine. I found that to get the most image on screen at once, using
the tight_layout=True argument to plt.figure gives excellent results.
My one question is that I get the following warning:
WARNING: This figure includes Axes that are not compatible with
tight_layout, so its results might be incorrect. [matplotlib.figure]
As I say, the results are good, so it's not really a problem, but I do
wonder about the source of the warngin -- and whether re-using the code
in a different way in the future could lead to problems. So, my
question is: what is the problem pointed to by the warning and how could
I avoid it (while still getting the same good results)?
Regards,
Jon
-- 
______________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
js...@cf... 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
 cell: (781) 363-0035 USA
______________________________________________________________

Hi all,
I discovered recently that basmap does not draw the coastline contours
properly for some choice of map boundaries. Specifically,
from mpl_toolkits.basemap import Basemap
map =
Basemap(projection='cyl',llcrnrlat=-22.,urcrnrlat=22.,llcrnrlon=78.,urcrnrlon=168.,resolution='l')
map.drawcoastlines()
results in the coastline of continental Asia not being drawn (see
attachment bad_contours.png). On the other hand, even subtly changing
the latitude boundaries, to
map =
Basemap(projection='cyl',llcrnrlat=-22.001,urcrnrlat=22.001,llcrnrlon=78.,urcrnrlon=168.,resolution='l')
results in all the coastlines being drawn (see attachment
good_contours.png). I presume this is a bug?
Here is my system info:
Operating system: Linux 3.2.0-41-generic #66-Ubuntu SMP Thu Apr 25
03:27:11 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux
Matplotlib version: 1.1.0
Where I obtained matplotlib: SourceForge
Customizations to matplotlibrc: none
Thanks,
Sourish

I want to increase the default setting of saved matplotlib graphs, so I
created a file ~/.matplotlib/matplotlibrc containing the line
savefigdpi : 300
I then created a test notebook containing a single cell with the contents
import numpy as np
import matplotlib.pyplot as plt
x = np.array([1,2,3])
y = np.array([4,5,6])
plt.plot(x,y)
plt.savefig('d0.png')
plt.savefig('d300.png',dpi=300)
When I run this within the notebook, the two png files are created fine,
but have different sizes. When I run the same code from the command line
(after saving the same commands to a script file testplot.py), using
ipython testplot.py
the two graphs have the same size, as desired. Does matplotlib ignore the
contents of ~/.matplotlib/matplotlibrc when called from an Ipython
notebook?
By the way, this is using matplotlib 1.2.0 and Ipython 0.13.2, if it makes
any difference.
Thanks for any help.
Richard Stanton