matplotlib-users Mailing List for matplotlib

Those look like they are coming up out of numpy.  I am not familiar with
gentoo, but it looks like numpy is not in the dependencies list.

Tom

On Mon, Apr 27, 2015, 16:59 Martin MOKREJŠ <mmo...@gm...> wrote:

> Hi,
>    I use dev-python/matplotlib-1.4.3 and I suspect this is a recent
> regression in it. Can anybody reproduce this?
>
> $ pychecker test.py
> Processing module test (test.py)...
> warning: couldn't find real module for class <class 'fftpack.error'>
> (module name: fftpack)
> warning: couldn't find real module for class <class
> 'lapack_lite.LapackError'> (module name: lapack_lite)
> warning: couldn't find real module for class <type 'mtrand.RandomState'>
> (module name: mtrand)
> warning: couldn't find real module for class <type 'mtrand.RandomState'>
> (module name: mtrand)
>    ImportError: No module named _winreg
> warning: couldn't find real module for class <type 'cntr.Cntr'> (module
> name: cntr)
>
> Warnings...
>
> test.py:3: Imported module (pylab) not used
> $ cat test.py
> #! /usr/bin/python
>
> import pylab
> $
>
>
>
>
>
>
> It was installed with these flags on Gentoo Linux:
>
> # emerge -pv matplotlib
>
> These are the packages that would be merged, in order:
>
> Calculating dependencies... done!
> [ebuild   R    ] dev-python/matplotlib-1.4.3::gentoo  USE="cairo examples
> fltk gtk tk wxwidgets -doc -excel -gtk3 -latex -pyside -qt4 -qt5 {-test}"
> PYTHON_TARGETS="python2_7 -python3_3 -python3_4" 0 KiB
>
>
>
> I use dev-python/pychecker-0.8.19-r1 for the code sanity checks.
> http://pychecker.sourceforge.net/ http://pypi.python.org/pypi/PyChecker
>
>
> Thank you for clues,
> Martin
>
>
> ------------------------------------------------------------------------------
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>

Hi,
   I use dev-python/matplotlib-1.4.3 and I suspect this is a recent regression in it. Can anybody reproduce this?

$ pychecker test.py
Processing module test (test.py)...
warning: couldn't find real module for class <class 'fftpack.error'> (module name: fftpack)
warning: couldn't find real module for class <class 'lapack_lite.LapackError'> (module name: lapack_lite)
warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand)
warning: couldn't find real module for class <type 'mtrand.RandomState'> (module name: mtrand)
   ImportError: No module named _winreg
warning: couldn't find real module for class <type 'cntr.Cntr'> (module name: cntr)

Warnings...

test.py:3: Imported module (pylab) not used
$ cat test.py
#! /usr/bin/python

import pylab
$






It was installed with these flags on Gentoo Linux:

# emerge -pv matplotlib

These are the packages that would be merged, in order:

Calculating dependencies... done!
[ebuild   R    ] dev-python/matplotlib-1.4.3::gentoo  USE="cairo examples fltk gtk tk wxwidgets -doc -excel -gtk3 -latex -pyside -qt4 -qt5 {-test}" PYTHON_TARGETS="python2_7 -python3_3 -python3_4" 0 KiB



I use dev-python/pychecker-0.8.19-r1 for the code sanity checks.
http://pychecker.sourceforge.net/ http://pypi.python.org/pypi/PyChecker


Thank you for clues,
Martin

Hi Tom,

Thanks for the reply. I will open it as an issue on github.

Best regards,
Jesper

2015-04-25 22:20 GMT+02:00 Thomas Caswell <tca...@gm...>:

> Jesper,
>
> Can you open an issue on this on github.  If you are feeling ambitious a
> pull request fixing the bug (as you seem to have a good idea of where the
> problem is) would also be great!
>
> Tom
>
> On Fri, Apr 24, 2015 at 8:38 AM Jesper Larsen <jes...@gm...>
> wrote:
>
>> Hi Matplotlib Users,
>>
>> When I make wind barbs with rounding enabled and custom barb increments I
>> noticed that there were no wind barbs with half barbs above 2 full barbs.
>> The reason seems to be a bug in the _find_tails method. The bug is
>> illustrated by this small script (_find_tails is a copy of the one in
>> matplotlib):
>>
>> import numpy as np
>>
>> def _find_tails(self, mag, rounding=True, half=5, full=10, flag=50):
>>     '''
>>     Find how many of each of the tail pieces is necessary.  Flag
>>     specifies the increment for a flag, barb for a full barb, and half for
>>     half a barb. Mag should be the magnitude of a vector (ie. >= 0).
>>
>>     This returns a tuple of:
>>
>>         (*number of flags*, *number of barbs*, *half_flag*, *empty_flag*)
>>
>>     *half_flag* is a boolean whether half of a barb is needed,
>>     since there should only ever be one half on a given
>>     barb. *empty_flag* flag is an array of flags to easily tell if
>>     a barb is empty (too low to plot any barbs/flags.
>>     '''
>>
>>     #If rounding, round to the nearest multiple of half, the smallest
>>     #increment
>>     if rounding:
>>         mag = half * (mag / half + 0.5).astype(np.int)
>>
>>     num_flags = np.floor(mag / flag).astype(np.int)
>>     mag = np.mod(mag, flag)
>>
>>     num_barb = np.floor(mag / full).astype(np.int)
>>     mag = np.mod(mag, full)
>>
>>     half_flag = mag >= half
>>     empty_flag = ~(half_flag | (num_flags > 0) | (num_barb > 0))
>>
>>     return num_flags, num_barb, half_flag, empty_flag
>>
>> def main():
>>     mag = np.arange(0,21,1)
>>     barb_incs = {'half': 2.57222,
>>                  'full': 5.14444,
>>                  'flag': 25.7222}
>>     print 'With rounding'
>>     num_flags, num_barb, half_flag, empty_flag =  _find_tails(None, mag,
>> rounding=True, **barb_incs)
>>     for i in range(len(mag)):
>>         print mag[i], num_flags[i], num_barb[i], half_flag[i],
>> empty_flag[i]
>>     print 'Without rounding'
>>     num_flags, num_barb, half_flag, empty_flag =  _find_tails(None, mag,
>> rounding=False, **barb_incs)
>>     for i in range(len(mag)):
>>         print mag[i], num_flags[i], num_barb[i], half_flag[i],
>> empty_flag[i]
>>
>> if __name__ == '__main__':
>>     exit(main())
>>
>> It seems like the error is not present when the barb increments are not
>> set. I believe the reason for the bug is the float comparison (half_flag =
>> mag >= half) where the value is rounded to a value very close to/identical
>> to the 'half' increment. And it seems like python does the right thing when
>> the "half" increment is a whole number but not always when it is not.
>>
>> But in any case the code should probably not depend two floats being
>> equal.
>>
>> Best regards,
>> Jesper
>>
>> ------------------------------------------------------------------------------
>> One dashboard for servers and applications across Physical-Virtual-Cloud
>> Widest out-of-the-box monitoring support with 50+ applications
>> Performance metrics, stats and reports that give you Actionable Insights
>> Deep dive visibility with transaction tracing using APM Insight.
>> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
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>>
>