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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Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most
from
the latest Intel processors and coprocessors. See abstracts and register >
http://pubads.g.doubleclick.net/gampad/clk?id=60134071&iu=/4140/ostg.clktrk
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