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- """Test deprecation and future warnings.
- """
- from __future__ import division, absolute_import, print_function
- import numpy as np
- from numpy.testing import assert_warns
- from numpy.ma.testutils import assert_equal
- from numpy.ma.core import MaskedArrayFutureWarning
- class TestArgsort(object):
- """ gh-8701 """
- def _test_base(self, argsort, cls):
- arr_0d = np.array(1).view(cls)
- argsort(arr_0d)
- arr_1d = np.array([1, 2, 3]).view(cls)
- argsort(arr_1d)
- # argsort has a bad default for >1d arrays
- arr_2d = np.array([[1, 2], [3, 4]]).view(cls)
- result = assert_warns(
- np.ma.core.MaskedArrayFutureWarning, argsort, arr_2d)
- assert_equal(result, argsort(arr_2d, axis=None))
- # should be no warnings for explicitly specifying it
- argsort(arr_2d, axis=None)
- argsort(arr_2d, axis=-1)
- def test_function_ndarray(self):
- return self._test_base(np.ma.argsort, np.ndarray)
- def test_function_maskedarray(self):
- return self._test_base(np.ma.argsort, np.ma.MaskedArray)
- def test_method(self):
- return self._test_base(np.ma.MaskedArray.argsort, np.ma.MaskedArray)
- class TestMinimumMaximum(object):
- def test_minimum(self):
- assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2]))
- def test_maximum(self):
- assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2]))
- def test_axis_default(self):
- # NumPy 1.13, 2017-05-06
- data1d = np.ma.arange(6)
- data2d = data1d.reshape(2, 3)
- ma_min = np.ma.minimum.reduce
- ma_max = np.ma.maximum.reduce
- # check that the default axis is still None, but warns on 2d arrays
- result = assert_warns(MaskedArrayFutureWarning, ma_max, data2d)
- assert_equal(result, ma_max(data2d, axis=None))
- result = assert_warns(MaskedArrayFutureWarning, ma_min, data2d)
- assert_equal(result, ma_min(data2d, axis=None))
- # no warnings on 1d, as both new and old defaults are equivalent
- result = ma_min(data1d)
- assert_equal(result, ma_min(data1d, axis=None))
- assert_equal(result, ma_min(data1d, axis=0))
- result = ma_max(data1d)
- assert_equal(result, ma_max(data1d, axis=None))
- assert_equal(result, ma_max(data1d, axis=0))
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