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FAIL: matplotlib.tests.test_transforms.test_pre_transform_plotting.test on Python 3.x #1120

Merged
merged 1 commit into from
+1,493 −1,493

4 participants

Michael Droettboom Phil Elson Eric Firing Benjamin Root
Michael Droettboom
Owner

This fails on Python 3.x only.

======================================================================
FAIL: matplotlib.tests.test_transforms.test_pre_transform_plotting.test
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/mdboom/python3/lib/python3.2/site-packages/nose/case.py", line 198, in runTest
    self.test(*self.arg)
  File "/home/mdboom/python3/lib/python3.2/site-packages/matplotlib/testing/decorators.py", line 39, in failer
    result = f(*args, **kwargs)
  File "/home/mdboom/python3/lib/python3.2/site-packages/matplotlib/testing/decorators.py", line 158, in do_test
    '(RMS %(rms).3f)'%err)
matplotlib.testing.noseclasses.ImageComparisonFailure: images not close: /home/mdboom/Work/tmp/matplotlib/tests3/result_images/test_transforms/pre_transform_data_svg.png vs. /home/mdboom/Work/tmp/mat
plotlib/tests3/result_images/test_transforms/pre_transform_data-expected_svg.png (RMS 720.791)
Phil Elson pelson was assigned
Michael Droettboom
Owner

Here's the failing SVG

https://gist.github.com/3438697

@pelson: Any idea what's going on here? Some sort of floating point thing? I wonder if it's related to a difference in the division operator under 2.x vs. 3.x (just a wild guess here).

Phil Elson
Collaborator

Sounds plausible, but I don't specifically remember doing any actual math modifications to the code.

I'm going to have to get myself set up with a full python3 install. I will take a look at this, but unfortunately it won't be until Weds (the 29th).

Thanks for the gist btw.

Phil Elson
Collaborator

Could be related to #1194.

Phil Elson
Collaborator

Could be related to #1194.

Sadly not. The shift, as I think you already saw, is a pixel difference on the barbs. Yet to track it down...

Phil Elson
Collaborator

Because the pdf and png versions are the same, I was hopeful that this would be a simple from __future__ import division in backend_svg.py. Unfortunately not.

Phil Elson
Collaborator

The diffs of the raw svg file are:

--- python32.svg    2012-09-04 13:52:15.747076592 +0100
+++ python27.svg    2012-09-04 13:52:57.018998230 +0100
@@ -77,7 +77,7 @@
 L333.997 -59.1134" id="C1_0_8365cdde6d"/>
     </defs>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#0040ff;" x="0" xlink:href="#C1_0_8365cdde6d" y="432.0"/>
+     <use style="fill:#0041ff;" x="0" xlink:href="#C1_0_8365cdde6d" y="432.0"/>
     </g>
    </g>
    <g id="PathCollection_3">
@@ -106,7 +106,7 @@
 L293.76 -86.5685" id="C2_0_ebb82fc4fe"/>
     </defs>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#00c0ff;" x="0" xlink:href="#C2_0_ebb82fc4fe" y="432.0"/>
+     <use style="fill:#00c1ff;" x="0" xlink:href="#C2_0_ebb82fc4fe" y="432.0"/>
     </g>
    </g>
    <g id="PathCollection_4">
@@ -555,22 +555,22 @@
      <use style="fill:#0034ff;" x="0" xlink:href="#C8_6_a874fe0e1e" y="432.0"/>
     </g>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#004cff;" x="0" xlink:href="#C8_7_35e396c57a" y="432.0"/>
+     <use style="fill:#004dff;" x="0" xlink:href="#C8_7_35e396c57a" y="432.0"/>
     </g>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#0060ff;" x="0" xlink:href="#C8_8_feb37e9f02" y="432.0"/>
+     <use style="fill:#0061ff;" x="0" xlink:href="#C8_8_feb37e9f02" y="432.0"/>
     </g>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#0078ff;" x="0" xlink:href="#C8_9_e50a7343f5" y="432.0"/>
+     <use style="fill:#0079ff;" x="0" xlink:href="#C8_9_e50a7343f5" y="432.0"/>
     </g>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#0090ff;" x="0" xlink:href="#C8_a_3892a86142" y="432.0"/>
+     <use style="fill:#0091ff;" x="0" xlink:href="#C8_a_3892a86142" y="432.0"/>
     </g>
     <g clip-path="url(#p7ff5b81e1d)">
-     <use style="fill:#00a4ff;" x="0" xlink:href="#C8_b_5be8a13ffd" y="432.0"/>
+     <use style="fill:#00a5ff;" x="0" xlink:href="#C8_b_5be8a13ffd" y="432.0"/>
     </g>
... clipped lots of the same...
@@ -7602,12 +7602,12 @@
     <g id="ytick_2">
      <g id="line2d_15">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#me8a85f7bf6" y="310.131977775"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#mc8fcea1516" y="310.131977775"/>
       </g>
      </g>
      <g id="line2d_16">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m1a32005dea" y="310.131977775"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m0d5b0a6425" y="310.131977775"/>
       </g>
      </g>
      <g id="text_8">
@@ -7621,12 +7621,12 @@
     <g id="ytick_3">
      <g id="line2d_17">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#me8a85f7bf6" y="247.377325925"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#mc8fcea1516" y="247.377325925"/>
       </g>
      </g>
      <g id="line2d_18">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m1a32005dea" y="247.377325925"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m0d5b0a6425" y="247.377325925"/>
       </g>
      </g>
      <g id="text_9">
@@ -7640,12 +7640,12 @@
     <g id="ytick_4">
      <g id="line2d_19">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#me8a85f7bf6" y="184.622674075"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#mc8fcea1516" y="184.622674075"/>
       </g>
      </g>
      <g id="line2d_20">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m1a32005dea" y="184.622674075"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m0d5b0a6425" y="184.622674075"/>
       </g>
      </g>
      <g id="text_10">
@@ -7659,12 +7659,12 @@
     <g id="ytick_5">
      <g id="line2d_21">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#me8a85f7bf6" y="121.868022225"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#mc8fcea1516" y="121.868022225"/>
       </g>
      </g>
      <g id="line2d_22">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m1a32005dea" y="121.868022225"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m0d5b0a6425" y="121.868022225"/>
       </g>
      </g>
      <g id="text_11">
@@ -7678,12 +7678,12 @@
     <g id="ytick_6">
      <g id="line2d_23">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#me8a85f7bf6" y="59.1133703747"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="72.0" xlink:href="#mc8fcea1516" y="59.1133703747"/>
       </g>
      </g>
      <g id="line2d_24">
       <g>
-       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m1a32005dea" y="59.1133703747"/>
+       <use style="stroke:#000000;stroke-linecap:butt;stroke-width:0.5;" x="518.4" xlink:href="#m0d5b0a6425" y="59.1133703747"/>
       </g>
      </g>
      <g id="text_12">
Phil Elson
Collaborator

Those SVGs convert to identical pngs with inkscape -z in.svg --export-png out.png, hence, I can only conclude that it is the conversion process in mpl (which is using inkscape) which is python version dependent.

Michael Droettboom
Owner

Hmm... The PNGs are not identical. The baseline, the output from matplotlib master under python 2 and python 3 are all different in the barbs for me. I'll look into this further.

Michael Droettboom
Owner

I'm surprised at your diff between the 2.7 and 3.2 output. My installation gives differences in the actual path data, eg.:

@@ -1440,1653 +1440,1653 @@
     <defs>
      <path d="
 M0 0
-L-24.4876 0.778189
-L-19.8962 0.632278
-L-21.5823 -4.21661
-L-19.8962 0.632278
+L-24.2365 0.770207
+L-19.6921 0.625793
+L-21.361 -4.17336
+L-19.6921 0.625793
 z
-" id="Cb_0_bc8a274eed"/>
+" id="Cb_0_c4b9db3e0e"/>
      <path d="
 M0 0
-L-24.4934 0.568021
-L-19.9009 0.461517
-L-21.5453 -4.40166
-L-19.9009 0.461517
+L-24.2422 0.562195
+L-19.6968 0.456784
+L-21.3244 -4.35652
+L-19.6968 0.456784
 z
-" id="Cb_1_625cafbf77"/>
+" id="Cb_1_0135c2e85d"/>
      <path d="
 M0 0
-L-24.4993 0.188265
-L-19.9057 0.152966
-L-21.4745 -4.73512
-L-19.9057 0.152966
-z
-" id="Cb_2_1963d3a56a"/>
-     <path d="
-M2.25029e-16 -3.675
-L-1.13564 -3.49513
-L-2.16011 -2.97314
-L-2.97314 -2.16011
-L-3.49513 -1.13564
-L-3.675 -4.50058e-16
-L-3.49513 1.13564
-L-2.97314 2.16011
-L-2.16011 2.97314
-L-1.13564 3.49513
-L-6.75087e-16 3.675
-L1.13564 3.49513
-L2.16011 2.97314
-L2.97314 2.16011
-L3.49513 1.13564
-L3.675 9.00115e-16
-L3.49513 -1.13564
-L2.97314 -2.16011
-L2.16011 -2.97314
-L1.13564 -3.49513
-L2.25029e-16 -3.675
-L2.25029e-16 -3.675
-L1.13564 -3.49513
-L2.16011 -2.97314
-L2.97314 -2.16011
-L3.49513 -1.13564
-L3.675 9.00115e-16
-L3.49513 1.13564
-L2.97314 2.16011
-L2.16011 2.97314
-L1.13564 3.49513
-L-6.75087e-16 3.675
-L-1.13564 3.49513
-L-2.16011 2.97314
-L-2.97314 2.16011
-L-3.49513 1.13564
-L-3.675 -4.50058e-16
-L-3.49513 -1.13564
-L-2.97314 -2.16011
-L-2.16011 -2.97314
-L-1.13564 -3.49513
-L2.25029e-16 -3.675
-z
-" id="Cb_3_91dfad6065"/>
-     <path d="
-M2.25029e-16 -3.675
-L-1.13564 -3.49513
-L-2.16011 -2.97314
-L-2.97314 -2.16011
-L-3.49513 -1.13564
-L-3.675 -4.50058e-16
-L-3.49513 1.13564
-L-2.97314 2.16011
-L-2.16011 2.97314
-L-1.13564 3.49513
-L-6.75087e-16 3.675
-L1.13564 3.49513
-L2.16011 2.97314
-L2.97314 2.16011
-L3.49513 1.13564
-L3.675 9.00115e-16
-L3.49513 -1.13564
-L2.97314 -2.16011
-L2.16011 -2.97314
-L1.13564 -3.49513
-L2.25029e-16 -3.675
-L2.25029e-16 -3.675
-L1.13564 -3.49513
-L2.16011 -2.97314
-L2.97314 -2.16011
-L3.49513 -1.13564
-L3.675 9.00115e-16
-L3.49513 1.13564
-L2.97314 2.16011
-L2.16011 2.97314
-L1.13564 3.49513
-L-6.75087e-16 3.675
-L-1.13564 3.49513
-L-2.16011 2.97314
-L-2.97314 2.16011
-L-3.49513 1.13564
-L-3.675 -4.50058e-16
-L-3.49513 -1.13564
-L-2.97314 -2.16011
-L-2.16011 -2.97314
-L-1.13564 -3.49513
-L2.25029e-16 -3.675
-z

etc.

Michael Droettboom
Owner

Note that there is a similar difference in the PDFs, it just has less of an influence on the output.

Michael Droettboom mdboom Closes issue #1120. There were two problems: barbs were being printed…
… slightly differently on Python 3 due to the difference of old vs. division. Colors were being converted to hex slightly wrong on Python 2 -- the use of np.round rather than Python's builtin round provides consistent behavior.
11ffa8a
Michael Droettboom
Owner

I've attached a PR that seems to resolve this.

Eric Firing efiring commented on the diff
lib/matplotlib/colors.py
@@ -219,7 +219,7 @@ def is_color_like(c):
def rgb2hex(rgb):
'Given an rgb or rgba sequence of 0-1 floats, return the hex string'
- return '#%02x%02x%02x' % tuple([round(val*255) for val in rgb[:3]])
+ return '#%02x%02x%02x' % tuple([np.round(val*255) for val in rgb[:3]])
Eric Firing Owner
efiring added a note

Micro-optimization: the part on the right is a bit quicker and perhaps more readable as
tuple(np.round(np.asarray(rgb[:3]) * 255)).

Or tuple((np.asarray(rgb[:3]) * 255).round()), which is slightly more efficient. Not that efficiency matters at this microsecond level.

Benjamin Root Collaborator

watch out when doing asarray(). We support masked arrays, so it really should be asanyarray(). Although, admittedly, in this context, it probably makes no difference.

Eric Firing Owner
efiring added a note

Agreed, but I don't think either version would work sensibly with rgb as a masked array. And the docstring says "floats", with no mention of masked array support.

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Phil Elson
Collaborator

Thanks Mike. I have literally imported future division in all mpl .py files and it appeared to have no effect. I think I need to go away and look at my setup to make sure I'm not overlooking something.

The PR looks good. +1 from me.

Michael Droettboom mdboom merged commit b5eb1d0 into from
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Commits on Sep 4, 2012
  1. Michael Droettboom

    Closes issue #1120. There were two problems: barbs were being printed…

    mdboom authored
    … slightly differently on Python 3 due to the difference of old vs. division. Colors were being converted to hex slightly wrong on Python 2 -- the use of np.round rather than Python's builtin round provides consistent behavior.
This page is out of date. Refresh to see the latest.
4 lib/matplotlib/_cm.py
View
@@ -4,7 +4,7 @@
"""
-from __future__ import print_function
+from __future__ import print_function, division
import numpy as np
_binary_data = {
@@ -1625,7 +1625,7 @@ def gfunc32(x):
}
# This bipolar color map was generated from CoolWarmFloat33.csv of
-# "Diverging Color Maps for Scientific Visualization" by Kenneth Moreland.
+# "Diverging Color Maps for Scientific Visualization" by Kenneth Moreland.
# <http://www.cs.unm.edu/~kmorel/documents/ColorMaps/>
_coolwarm_data = {
'red': [
2  lib/matplotlib/cm.py
View
@@ -4,7 +4,7 @@
and a mixin class for adding color mapping functionality.
"""
-from __future__ import print_function
+from __future__ import print_function, division
import os
2  lib/matplotlib/collections.py
View
@@ -158,7 +158,7 @@ def get_transforms(self):
def get_offset_transform(self):
t = self._transOffset
- if (not isinstance(t, transforms.Transform)
+ if (not isinstance(t, transforms.Transform)
and hasattr(t, '_as_mpl_transform')):
t = t._as_mpl_transform(self.axes)
return t
4 lib/matplotlib/colors.py
View
@@ -48,7 +48,7 @@
Finally, legal html names for colors, like 'red', 'burlywood' and
'chartreuse' are supported.
"""
-from __future__ import print_function
+from __future__ import print_function, division
import re
import numpy as np
from numpy import ma
@@ -219,7 +219,7 @@ def is_color_like(c):
def rgb2hex(rgb):
'Given an rgb or rgba sequence of 0-1 floats, return the hex string'
- return '#%02x%02x%02x' % tuple([round(val*255) for val in rgb[:3]])
+ return '#%02x%02x%02x' % tuple([np.round(val*255) for val in rgb[:3]])
Eric Firing Owner
efiring added a note

Micro-optimization: the part on the right is a bit quicker and perhaps more readable as
tuple(np.round(np.asarray(rgb[:3]) * 255)).

Or tuple((np.asarray(rgb[:3]) * 255).round()), which is slightly more efficient. Not that efficiency matters at this microsecond level.

Benjamin Root Collaborator

watch out when doing asarray(). We support masked arrays, so it really should be asanyarray(). Although, admittedly, in this context, it probably makes no difference.

Eric Firing Owner
efiring added a note

Agreed, but I don't think either version would work sensibly with rgb as a masked array. And the docstring says "floats", with no mention of masked array support.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
hexColorPattern = re.compile("\A#[a-fA-F0-9]{6}\Z")
2  lib/matplotlib/quiver.py
View
@@ -15,7 +15,7 @@
"""
-from __future__ import print_function
+from __future__ import print_function, division
import numpy as np
from numpy import ma
import matplotlib.collections as collections
BIN  lib/matplotlib/tests/baseline_images/test_transforms/pre_transform_data.pdf
View
Binary file not shown
BIN  lib/matplotlib/tests/baseline_images/test_transforms/pre_transform_data.png
View
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
2,954 lib/matplotlib/tests/baseline_images/test_transforms/pre_transform_data.svg
View
@@ -77,7 +77,7 @@ L333.997 -59.1134
L333.997 -59.1134" id="C1_0_8365cdde6d"/>
</defs>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#0041ff;" x="0" xlink:href="#C1_0_8365cdde6d" y="432.0"/>
+ <use style="fill:#0040ff;" x="0" xlink:href="#C1_0_8365cdde6d" y="432.0"/>
</g>
</g>
<g id="PathCollection_3">
@@ -106,7 +106,7 @@ L253.523 -90.4907
L293.76 -86.5685" id="C2_0_ebb82fc4fe"/>
</defs>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#00c1ff;" x="0" xlink:href="#C2_0_ebb82fc4fe" y="432.0"/>
+ <use style="fill:#00c0ff;" x="0" xlink:href="#C2_0_ebb82fc4fe" y="432.0"/>
</g>
</g>
<g id="PathCollection_4">
@@ -555,22 +555,22 @@ L226.698 -300.327" id="C8_2f_33991b1792"/>
<use style="fill:#0034ff;" x="0" xlink:href="#C8_6_a874fe0e1e" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#004dff;" x="0" xlink:href="#C8_7_35e396c57a" y="432.0"/>
+ <use style="fill:#004cff;" x="0" xlink:href="#C8_7_35e396c57a" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#0061ff;" x="0" xlink:href="#C8_8_feb37e9f02" y="432.0"/>
+ <use style="fill:#0060ff;" x="0" xlink:href="#C8_8_feb37e9f02" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#0079ff;" x="0" xlink:href="#C8_9_e50a7343f5" y="432.0"/>
+ <use style="fill:#0078ff;" x="0" xlink:href="#C8_9_e50a7343f5" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#0091ff;" x="0" xlink:href="#C8_a_3892a86142" y="432.0"/>
+ <use style="fill:#0090ff;" x="0" xlink:href="#C8_a_3892a86142" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#00a5ff;" x="0" xlink:href="#C8_b_5be8a13ffd" y="432.0"/>
+ <use style="fill:#00a4ff;" x="0" xlink:href="#C8_b_5be8a13ffd" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
- <use style="fill:#06edf1;" x="0" xlink:href="#C8_c_6086a66ddd" y="432.0"/>
+ <use style="fill:#06ecf1;" x="0" xlink:href="#C8_c_6086a66ddd" y="432.0"/>
</g>
<g clip-path="url(#p7ff5b81e1d)">
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