8000 ENH: Fixed issue that occurs when trying to take the median of a list of masked arrays. issue #10757 by jsclose · Pull Request #10909 · numpy/numpy · GitHub
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ENH: Fixed issue that occurs when trying to take the median of a list of masked arrays. issue #10757 #10909

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ENH: Fixed issue that occurs when trying to take the median of a list of masked arrays. issue #10757 #10909

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ENH: 
Fixed issue that occurs when trying to take the median of a list of masked arrays.
Added a check to see if the input is a list then converts to a masked array.
See issue #10757 for more information.
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@jsclose
jsclose committed Apr 15, 2018
commit 1370446180581e14d2d2cd9c214a7f8ffbaa7e50
4 changes: 4 additions & 0 deletions numpy/ma/extras.py
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Original file line number Diff line number Diff line change
Expand Up @@ -681,6 +681,10 @@ def median(a, axis=None, out=None, overwrite_input=False, keepdims=False):
fill_value = 1e+20)

"""

if isinstance(a, list):
a = np.ma.asarray(a)

if not hasattr(a, 'mask'):
m = np.median(getdata(a, subok=True), axis=axis,
out=out, overwrite_input=overwrite_input,
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19 changes: 19 additions & 0 deletions numpy/ma/tests/test_extras.py
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Expand Up @@ -1088,6 +1088,25 @@ def test_object(self):
o[2] = np.nan
assert_(type(np.ma.median(o.astype(object))), float)

def test_list_of_masked_array(self):
data1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
masked1 = np.ma.masked_where(data1 == 4, data1)
data2 = np.array([[8, 7, 6, 5], [4, 3, 2, 1]])
masked2 = np.ma.masked_where(data2 == 4, data2)
list = [masked1, masked2]
median_masked_list = np.ma.median(list, axis=0).data
assert_equal( median_masked_list , np.array([[4.5, 4.5, 4.5, 5], [5, 4.5, 4.5, 4.5]]))


def test_list_of_masked_array_no_axis(self):
data1 = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
masked1 = np.ma.masked_where(data1 == 2, data1)
data2 = np.array([[8, 7, 6, 5], [4, 3, 2, 1]])
masked2 = np.ma.masked_where(data2 == 5, data2)
list = [masked1, masked2]
median_masked_list = np.ma.median(list)
assert_equal(median_masked_list, 4.5)


class TestCov(object):

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0