Image comparison decorators outside matplotlib

Hello,

I am developing a toolkit to parse, analyse and plot some scientific
data using matplotlib. Among them are some application-specific plotting
functions that sort of extend matplotlib.

There are these nice image comparison decorators to test code like that
but I am not sure how to use them for unit testing outside the scope of
matplotlib itself. Is this use case intended and possible for the decorator?

I have experimented with this unsuccessfully in the following way:

There is a tests directory within my package with test functions
decorated like so

@image_comparison(baseline_images=['custom_function'])
def test_custom_function():
    # plot stuff...

When I run nosetests, it fails creating some output images in
result_images.

Copying the appropriate files according to [1] to
my_package/tests/baseline_images does not seem to have any effect. There
are neither *-expected* nor *_{pdf,svg}.png files in there, only
custom_function.{pdf,svg,png}. What am I doing wrong?

Eduard

[1] http://matplotlib.org/devel/testing.html

Eduard,

Did you make any progress on this? I’m trying to do the same thing and it’s skipping my tests entirely.

-paul

···

On Thu, Oct 10, 2013 at 5:41 AM, Eduard Bopp <eduard.bopp@…1140…> wrote:

Hello,

I am developing a toolkit to parse, analyse and plot some scientific

data using matplotlib. Among them are some application-specific plotting

functions that sort of extend matplotlib.

There are these nice image comparison decorators to test code like that

but I am not sure how to use them for unit testing outside the scope of

matplotlib itself. Is this use case intended and possible for the decorator?

I have experimented with this unsuccessfully in the following way:

There is a tests directory within my package with test functions

decorated like so

@image_comparison(baseline_images=[‘custom_function’])

def test_custom_function():

# plot stuff...

When I run nosetests, it fails creating some output images in

result_images.

Copying the appropriate files according to [1] to

my_package/tests/baseline_images does not seem to have any effect. There

are neither -expected nor *_{pdf,svg}.png files in there, only

custom_function.{pdf,svg,png}. What am I doing wrong?

Eduard

[1] http://matplotlib.org/devel/testing.html


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No, Paul, I haven't really had the time to dig into it myself. I would
also appreciate it very much if anyone could provide an explanation, how
this works and whether it can be used like this.

Eduard

···

On 11/06/2013 07:55 PM, Paul Hobson wrote:

Eduard,

Did you make any progress on this? I'm trying to do the same thing and it's
skipping my tests entirely.
-paul

On Thu, Oct 10, 2013 at 5:41 AM, Eduard Bopp <eduard.bopp@...1140...>wrote:

Hello,

I am developing a toolkit to parse, analyse and plot some scientific
data using matplotlib. Among them are some application-specific plotting
functions that sort of extend matplotlib.

There are these nice image comparison decorators to test code like that
but I am not sure how to use them for unit testing outside the scope of
matplotlib itself. Is this use case intended and possible for the
decorator?

I have experimented with this unsuccessfully in the following way:

There is a tests directory within my package with test functions
decorated like so

@image_comparison(baseline_images=['custom_function'])
def test_custom_function():
    # plot stuff...

When I run nosetests, it fails creating some output images in
result_images.

Copying the appropriate files according to [1] to
my_package/tests/baseline_images does not seem to have any effect. There
are neither *-expected* nor *_{pdf,svg}.png files in there, only
custom_function.{pdf,svg,png}. What am I doing wrong?

Eduard

[1] http://matplotlib.org/devel/testing.html

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