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import numpy as np
from numpy.testing import (
assert_, assert_array_equal, assert_allclose, suppress_warnings
)
class TestRegression:
def test_masked_array_create(self):
# Ticket #17
x = np.ma.masked_array([0, 1, 2, 3, 0, 4, 5, 6],
mask=[0, 0, 0, 1, 1, 1, 0, 0])
assert_array_equal(np.ma.nonzero(x), [[1, 2, 6, 7]])
def test_masked_array(self):
# Ticket #61
np.ma.array(1, mask=[1])
def test_mem_masked_where(self):
# Ticket #62
from numpy.ma import masked_where, MaskType
a = np.zeros((1, 1))
b = np.zeros(a.shape, MaskType)
c = masked_where(b, a)
a-c
def test_masked_array_multiply(self):
# Ticket #254
a = np.ma.zeros((4, 1))
a[2, 0] = np.ma.masked
b = np.zeros((4, 2))
a*b
b*a
def test_masked_array_repeat(self):
# Ticket #271
np.ma.array([1], mask=False).repeat(10)
def test_masked_array_repr_unicode(self):
# Ticket #1256
repr(np.ma.array("Unicode"))
def test_atleast_2d(self):
# Ticket #1559
a = np.ma.masked_array([0.0, 1.2, 3.5], mask=[False, True, False])
b = np.atleast_2d(a)
assert_(a.mask.ndim == 1)
assert_(b.mask.ndim == 2)
def test_set_fill_value_unicode_py3(self):
# Ticket #2733
a = np.ma.masked_array(['a', 'b', 'c'], mask=[1, 0, 0])
a.fill_value = 'X'
assert_(a.fill_value == 'X')
def test_var_sets_maskedarray_scalar(self):
# Issue gh-2757
a = np.ma.array(np.arange(5), mask=True)
mout = np.ma.array(-1, dtype=float)
a.var(out=mout)
assert_(mout._data == 0)
def test_ddof_corrcoef(self):
# See gh-3336
x = np.ma.masked_equal([1, 2, 3, 4, 5], 4)
y = np.array([2, 2.5, 3.1, 3, 5])
# this test can be removed after deprecation.
with suppress_warnings() as sup:
sup.filter(DeprecationWarning, "bias and ddof have no effect")
r0 = np.ma.corrcoef(x, y, ddof=0)
r1 = np.ma.corrcoef(x, y, ddof=1)
# ddof should not have an effect (it gets cancelled out)
assert_allclose(r0.data, r1.data)
def test_mask_not_backmangled(self):
# See gh-10314. Test case taken from gh-3140.
a = np.ma.MaskedArray([1., 2.], mask=[False, False])
assert_(a.mask.shape == (2,))
b = np.tile(a, (2, 1))
# Check that the above no longer changes a.shape to (1, 2)
assert_(a.mask.shape == (2,))
assert_(b.shape == (2, 2))
assert_(b.mask.shape == (2, 2))
def test_empty_list_on_structured(self):
# See gh-12464. Indexing with empty list should give empty result.
ma = np.ma.MaskedArray([(1, 1.), (2, 2.), (3, 3.)], dtype='i4,f4')
assert_array_equal(ma[[]], ma[:0])
def test_masked_array_tobytes_fortran(self):
ma = np.ma.arange(4).reshape((2,2))
assert_array_equal(ma.tobytes(order='F'), ma.T.tobytes())
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