def test_user_missing_values(self):
data = "A, B, C\n0, 0., 0j\n1, N/A, 1j\n-9, 2.2, N/A\n3, -99, 3j"
basekwargs = dict(dtype=None, delimiter=",", names=True,)
mdtype = [('A', int), ('B', float), ('C', complex)]
#
test = np.mafromtxt(TextIO(data), missing_values="N/A",
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (0, 0, 1), (0, 0, 0)],
dtype=mdtype)
assert_equal(test, control)
#
basekwargs['dtype'] = mdtype
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 1: -99, 2: -999j}, **basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
#
test = np.mafromtxt(TextIO(data),
missing_values={0: -9, 'B': -99, 'C': -999j},
**basekwargs)
control = ma.array([(0, 0.0, 0j), (1, -999, 1j),
(-9, 2.2, -999j), (3, -99, 3j)],
mask=[(0, 0, 0), (0, 1, 0), (1, 0, 1), (0, 1, 0)],
dtype=mdtype)
assert_equal(test, control)
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