bugfix for matplotlib/ticker.py (python 3.3)

[mdboom]

(ref. current git version of mpl)

when I plot something with huge coordinate values, > 1E35, I get an error

File "matplotlib/ticker.py", line 550, in set_format
if np.abs(locs - np.round(locs, decimals=sigfigs)).max() < thresh:
File "/usr/lib64/python3.3/site-packages/numpy/core/fromnumeric.py", line 2402, in round
return round(decimals, out)
AttributeError: 'float' object has no attribute 'rint'

The problem is that the array becomes NoneType

ipdb> a
a = array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0], dtype=object)
decimals = 3
out = None

because the representation in

matplotlib/ticker.py overflows

10 ** self.orderOfMagnitude

what can be done as regular integer, hence

locs = (np.asarray(_locs) - self.offset) / 10 ** self.orderOfMagnitude

returns dtype=object

The solution is the following patch (just make "10" float --- "10."):

--- matplotlib/ticker.py~ 2013-05-10 16:43:44.000000000 +1000
+++ matplotlib/ticker.py 2013-05-10 17:44:35.385288785 +1000
@@ -536,7 +536,7 @@
_locs = list(self.locs) + [vmin, vmax]
else:
_locs = self.locs

•    locs = (np.asarray(_locs) - self.offset) / 10 *\* self.orderOfMagnitude
  

•    locs = (np.asarray(_locs) - self.offset) / 10. *\* self.orderOfMagnitude
   loc_range = np.ptp(locs)
   if len(self.locs) < 2:
       # We needed the end points only for the loc_range calculation.
  

I hope you can change that.

-Alexander

[mdboom]

Duplicate of #1828.

[mdboom]

@2sn: Thanks for finding the solution!

[2sn]

Sorry about the duplicate. I did not find the original posting with Google.

On 10/05/13 23:10, Michael Droettboom wrote:

Duplicate of #1828.

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Reply to this email directly or view it on GitHub:
#1991 (comment)

[mdboom]

No worries about not finding it -- I'm just glad to have a solution.

Merging.