本文整理匯總了Python中numpy.mafromtxt方法的典型用法代碼示例。如果您正苦於以下問題：Python numpy.mafromtxt方法的具體用法？Python numpy.mafromtxt怎麽用？Python numpy.mafromtxt使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy的用法示例。
在下文中一共展示了numpy.mafromtxt方法的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_withmissing
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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', int), ('B', 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', float), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask) 示例2: test_withmissing
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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) 示例3: test_fancy_dtype_alt
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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) 示例4: test_user_missing_values
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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) 示例5: test_withmissing_float
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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', int), ('B', float)])
assert_equal(test, control)
assert_equal(test.mask, control.mask) 示例6: test_mafromtxt
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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) 示例7: test_withmissing_float
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import mafromtxt [as 別名]
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)