Matplotlib installation issues

Community matplotlib-users
#1

Hello,

After a little mishap from ubuntu 12.04 after which I reinstalled the
OS, on this fresh install I did:

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

as per scipy stack installation instructions and
everything went more or less as it should have no errors reported
during installation that I saw. Keep in mind the entire install like
this had ~500MB or so and I wasn't always paying attention.
I ran python, and did numpy.test(), returned:

Ran 3161 tests in 50.667s
OK (KNOWNFAIL=3, SKIP=4)
<nose.result.TextTestResult run=3161 errors=0 failures=0>

did scipy.test(), returned:

Ran 3780 tests in 74.809s
FAILED (KNOWNFAIL=11, SKIP=13, failures=2)
<nose.result.TextTestResult run=3780 errors=0 failures=2>

I send a mail to scipy mailing list couple of days ago, but still no answer,
if someone knows how "bad" those 2 failures are please share and then
did matplotlib.test() which was disasterous:

Ran 1065 tests in 284.956s
FAILED (KNOWNFAIL=267, errors=772)

I've also pasted the entire thing online and it should be availible
for 2 weeks or so:

http://pastebin.com/rAvnnuCc
http://pastebin.com/4aPTKJ3V

and for the scipy if anyone is willing:

http://pastebin.com/FutWAR56

Any help is greatly appreciated,
Dino Bektešević.

#2

2013/8/31 Dino Bektešević <ljetibo@...287...>:

Hello,

After a little mishap from ubuntu 12.04 after which I reinstalled the
OS, on this fresh install I did:

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

as per scipy stack installation instructions and
everything went more or less as it should have no errors reported
during installation that I saw. Keep in mind the entire install like
this had ~500MB or so and I wasn't always paying attention.
I ran python, and did numpy.test(), returned:

Ran 3161 tests in 50.667s
OK (KNOWNFAIL=3, SKIP=4)
<nose.result.TextTestResult run=3161 errors=0 failures=0>

did scipy.test(), returned:

Ran 3780 tests in 74.809s
FAILED (KNOWNFAIL=11, SKIP=13, failures=2)
<nose.result.TextTestResult run=3780 errors=0 failures=2>

I send a mail to scipy mailing list couple of days ago, but still no answer,
if someone knows how "bad" those 2 failures are please share and then
did matplotlib.test() which was disasterous:

Ran 1065 tests in 284.956s
FAILED (KNOWNFAIL=267, errors=772)

With mpl 1.3.0 (packaged for Raring by Thomas Kluyver):

Ran 1465 tests in 402.499s
FAILED (KNOWNFAIL=1, SKIP=5, errors=1331)

But matplotlib itself is working pretty well. The output is full with
error messages like:

IOError: Baseline image
'/home/goyo/result_images/test_triangulation/tripcolor1-expected.svg'
does not exist.

It maybe that distro packages do not ship with baseline images. Looks
sensible to me since there must be an awful lot of them and most users
do not need them.

Goyo

#3

That's correct. We could probably do a better job reporting that to the user, though. Would you mind creating an issue for that?

Mike

···

On 08/31/2013 12:24 PM, Goyo wrote:

2013/8/31 Dino Bektešević <ljetibo@...287...>:

Hello,

After a little mishap from ubuntu 12.04 after which I reinstalled the
OS, on this fresh install I did:

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

as per scipy stack installation instructions and
everything went more or less as it should have no errors reported
during installation that I saw. Keep in mind the entire install like
this had ~500MB or so and I wasn't always paying attention.
I ran python, and did numpy.test(), returned:

Ran 3161 tests in 50.667s
OK (KNOWNFAIL=3, SKIP=4)
<nose.result.TextTestResult run=3161 errors=0 failures=0>

did scipy.test(), returned:

Ran 3780 tests in 74.809s
FAILED (KNOWNFAIL=11, SKIP=13, failures=2)
<nose.result.TextTestResult run=3780 errors=0 failures=2>

I send a mail to scipy mailing list couple of days ago, but still no answer,
if someone knows how "bad" those 2 failures are please share and then
did matplotlib.test() which was disasterous:

Ran 1065 tests in 284.956s
FAILED (KNOWNFAIL=267, errors=772)

With mpl 1.3.0 (packaged for Raring by Thomas Kluyver):

Ran 1465 tests in 402.499s
FAILED (KNOWNFAIL=1, SKIP=5, errors=1331)

But matplotlib itself is working pretty well. The output is full with
error messages like:

IOError: Baseline image
'/home/goyo/result_images/test_triangulation/tripcolor1-expected.svg'
does not exist.

It maybe that distro packages do not ship with baseline images. Looks
sensible to me since there must be an awful lot of them and most users
do not need them.

#4

2013/9/3 Michael Droettboom <mdroe@...86...>:

That's correct. We could probably do a better job reporting that to the
user, though. Would you mind creating an issue for that?

https://github.com/matplotlib/matplotlib/issues/2379