我们从Python开源项目中，提取了以下25个代码示例，用于说明如何使用numpy.mafromtxt()。
def test_withmissing(self): data = TextIO('A,B\n0,1\n2,N/A') kwargs = dict(delimiter=",", missing_values="N/A", names=True) test = np.mafromtxt(data, dtype=None, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.int)]) assert_equal(test, control) assert_equal(test.mask, control.mask) # data.seek(0) test = np.mafromtxt(data, **kwargs) control = ma.array([(0, 1), (2, -1)], mask=[(False, False), (False, True)], dtype=[('A', np.float), ('B', np.float)]) assert_equal(test, control) assert_equal(test.mask, control.mask)
def test_fancy_dtype_alt(self): # Check that a nested dtype isn't MIA data = TextIO('1,2,3.0\n4,5,6.0\n') fancydtype = np.dtype([('x', int), ('y', [('t', int), ('s', float)])]) test = np.mafromtxt(data, dtype=fancydtype, delimiter=',') control = ma.array([(1, (2, 3.0)), (4, (5, 6.0))], dtype=fancydtype) assert_equal(test, control)
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)
def test_withmissing_float(self): data = TextIO('A,B\n0,1.5\n2,-999.00') test = np.mafromtxt(data, dtype=None, delimiter=',', missing_values='-999.0', names=True,) control = ma.array([(0, 1.5), (2, -1.)], mask=[(False, False), (False, True)], dtype=[('A', np.int), ('B', np.float)]) assert_equal(test, control) assert_equal(test.mask, control.mask)
def test_mafromtxt(self): # From `test_fancy_dtype_alt` above with temppath(suffix='.txt') as path: path = Path(path) with path.open('w') as f: f.write(u'1,2,3.0\n4,5,6.0\n') test = np.mafromtxt(path, delimiter=',') control = ma.array([(1.0, 2.0, 3.0), (4.0, 5.0, 6.0)]) assert_equal(test, control)
