Update quantile calculation method in owboxplot.py

[Hellseher]

The parameter name has been changed in NumPy 1.22

methodstr, optional

    This parameter specifies the method to use for estimating the quantile. There are many different methods, some unique to NumPy. See the notes for explanation. The options sorted by their R type as summarized in the H&F paper [1] are:

        ‘inverted_cdf’

        ‘averaged_inverted_cdf’

        ‘closest_observation’

        ‘interpolated_inverted_cdf’

        ‘hazen’

        ‘weibull’

        ‘linear’ (default)

        ‘median_unbiased’

        ‘normal_unbiased’

    The first three methods are discontinuous. NumPy further defines the following discontinuous variations of the default ‘linear’ (7.) option:

        ‘lower’

        ‘higher’,

        ‘midpoint’

        ‘nearest’

    Changed in version 1.22.0: This argument was previously called “interpolation” and only offered the “linear” default and last four options.

https://numpy.org/doc/stable/reference/generated/numpy.nanquantile.html

Issue

Description of changes

Includes

• Code changes
• Tests
• Documentation

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[Hellseher]

CLA is a great tool to cool-down contribution ;-)
I tried to fix tests for Orange3 in Guix and noticed the most of them errored, complaining on incorrect parameter (see attached NumPy documentation part)

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 88.96%. Comparing base (f6a9710) to head (7e1e48f).

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #7305      +/-   ##
==========================================
- Coverage   88.98%   88.96%   -0.03%     
==========================================
  Files         336      336              
  Lines       74515    74515              
==========================================
- Hits        66306    66290      -16     
- Misses       8209     8225      +16     

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[janezd]

Thanks!