matplotlib-users Mailing List for matplotlib

I get this error and would like to know what to do to eliminate it and
also what it means:
C:\Python25\lib\site-packages\matplotlib\axes.py:2571:
UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=0, top=0 + 'bottom=%s, top=%s') % (bottom, top))
This is with Matplotlib 1.0.0.
Thank you,
Che

Hi,
Pau <vim...@go...>
> Hello,
> 
> I am trying to print in the plot the value of a time variable which I
> obtain like this
> 
> Time = MBH_inst[0] # Column 1
> 
> This should be placed on the top right part of the plot showing the current
> time
> 
> Time = XXX yrs
> 
> But I do not know how to pass this to ax.annotate:
> 
> ax.annotate('Time = ', size=18, xy=(3, 1), xycoords='data',
> xytext=(0.8, 0.95), textcoords='axes fraction',
> horizontalalignment='right', verticalalignment='top',
> )
Maybe like this:
ax.annotate('Time = %f'%(MBH_inst[0],), size=18, xy=(3, 1), xycoords='data',
 xytext=(0.8, 0.95), textcoords='axes fraction',
 horizontalalignment='right', verticalalignment='top',
 )
?
You can also adjust the number of shown digits right of the comma by setting 
it up like this: %0.2f etc.
Just look it up in the python documentation (search hints: python string 
format).
Wish you the best,
Malte

Hello,
I am using the scatter function and axes3D. I can define my viewpoint on
my data points using the elev and azim parameters. But I am looking for
more specification of the viewpoint : namely, I want to roll (i.e. rotate
around the view axis) and offset it (i.e. get sideways, not rotate around
my data points).
Is there any way to do it ? At the moment, I am using transformation
matrices applied to my data points to reproduce the roll and offset.
Ultimately, I want to rotate and offset both the data points and axis, but
the transformation matrices only impact the data point.
Hence my question : any way to roll and offset around a viewpoint with
Axes3D ? I don't want to do this interactively, I want to be able to
program it.
Thanks, and cheers !
Fréd