The same case as explained in my previous email, but
> supplying all values converted to floats:
Responding to both points at once...
The log10 issue you experienced appears to be a ufunc problem. I'm
using the Numeric log10 but in this module don't need it since I'm not
opertating over arrays. Replacing all instances og log10 with
math.log10 in the matplotlib.ticker module.
> line 202, in pprint_val if abs(x-int(x))<0.0001*d:
> return '%d' % int(x + 0.5) OverflowError: float too
> large to convert
You should be able to replace the ints with longs here with no
troubles. Likewise in the LogFormatter class on or around line 234
you should do the same.
I wrote this little example to add to our poor man's unit testing
from matplotlib.matlab import *
x = arange(1000) + 2**32
With the changes above, it plots but the log ticker apparently fails
to handle this case so I'll look into that. I think it is because
there are no decades in the plot range.
If you can think of a more suitable test case for plotting large
numbers, please pass it on and I'll include it.