本文整理匯總了Python中numpy.core.umath.maximum方法的典型用法代碼示例。如果您正苦於以下問題：Python umath.maximum方法的具體用法？Python umath.maximum怎麽用？Python umath.maximum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.core.umath的用法示例。
在下文中一共展示了umath.maximum方法的14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_reduce
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_reduce(self):
dflt = np.typecodes['AllFloat']
dint = np.typecodes['AllInteger']
seq1 = np.arange(11)
seq2 = seq1[::-1]
func = np.maximum.reduce
for dt in dint:
tmp1 = seq1.astype(dt)
tmp2 = seq2.astype(dt)
assert_equal(func(tmp1), 10)
assert_equal(func(tmp2), 10)
for dt in dflt:
tmp1 = seq1.astype(dt)
tmp2 = seq2.astype(dt)
assert_equal(func(tmp1), 10)
assert_equal(func(tmp2), 10)
tmp1[::2] = np.nan
tmp2[::2] = np.nan
assert_equal(func(tmp1), np.nan)
assert_equal(func(tmp2), np.nan) 示例2: test_truth_table_logical
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_truth_table_logical(self):
# 2, 3 and 4 serves as true values
input1 = [0, 0, 3, 2]
input2 = [0, 4, 0, 2]
typecodes = (np.typecodes['AllFloat']
+ np.typecodes['AllInteger']
+ '?') # boolean
for dtype in map(np.dtype, typecodes):
arg1 = np.asarray(input1, dtype=dtype)
arg2 = np.asarray(input2, dtype=dtype)
# OR
out = [False, True, True, True]
for func in (np.logical_or, np.maximum):
assert_equal(func(arg1, arg2).astype(bool), out)
# AND
out = [False, False, False, True]
for func in (np.logical_and, np.minimum):
assert_equal(func(arg1, arg2).astype(bool), out)
# XOR
out = [False, True, True, False]
for func in (np.logical_xor, np.not_equal):
assert_equal(func(arg1, arg2).astype(bool), out) 示例3: test_array_with_context
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_array_with_context(self):
class A(object):
def __array__(self, dtype=None, context=None):
func, args, i = context
self.func = func
self.args = args
self.i = i
return np.zeros(1)
class B(object):
def __array__(self, dtype=None):
return np.zeros(1, dtype)
class C(object):
def __array__(self):
return np.zeros(1)
a = A()
ncu.maximum(np.zeros(1), a)
self.assertTrue(a.func is ncu.maximum)
assert_equal(a.args[0], 0)
self.assertTrue(a.args[1] is a)
self.assertTrue(a.i == 1)
assert_equal(ncu.maximum(a, B()), 0)
assert_equal(ncu.maximum(a, C()), 0) 示例4: test_reduce_complex
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_reduce_complex(self):
assert_equal(np.maximum.reduce([1, 2j]), 1)
assert_equal(np.maximum.reduce([1+3j, 2j]), 1+3j) 示例5: test_float_nans
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_float_nans(self):
nan = np.nan
arg1 = np.array([0, nan, nan])
arg2 = np.array([nan, 0, nan])
out = np.array([nan, nan, nan])
assert_equal(np.maximum(arg1, arg2), out) 示例6: test_object_nans
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_object_nans(self):
# Multiple checks to give this a chance to
# fail if cmp is used instead of rich compare.
# Failure cannot be guaranteed.
for i in range(1):
x = np.array(float('nan'), object)
y = 1.0
z = np.array(float('nan'), object)
assert_(np.maximum(x, y) == 1.0)
assert_(np.maximum(z, y) == 1.0) 示例7: test_complex_nans
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_complex_nans(self):
nan = np.nan
for cnan in [complex(nan, 0), complex(0, nan), complex(nan, nan)]:
arg1 = np.array([0, cnan, cnan], dtype=complex)
arg2 = np.array([cnan, 0, cnan], dtype=complex)
out = np.array([nan, nan, nan], dtype=complex)
assert_equal(np.maximum(arg1, arg2), out) 示例8: test_failing_wrap
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_failing_wrap(self):
class A(object):
def __array__(self):
return np.zeros(2)
def __array_wrap__(self, arr, context):
raise RuntimeError
a = A()
assert_raises(RuntimeError, ncu.maximum, a, a)
assert_raises(RuntimeError, ncu.maximum.reduce, a) 示例9: test_none_wrap
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_none_wrap(self):
# Tests that issue #8507 is resolved. Previously, this would segfault
class A(object):
def __array__(self):
return np.zeros(1)
def __array_wrap__(self, arr, context=None):
return None
a = A()
assert_equal(ncu.maximum(a, a), None) 示例10: test_failing_prepare
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_failing_prepare(self):
class A(object):
def __array__(self):
return np.zeros(1)
def __array_prepare__(self, arr, context=None):
raise RuntimeError
a = A()
assert_raises(RuntimeError, ncu.maximum, a, a) 示例11: test_array_with_context
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_array_with_context(self):
class A(object):
def __array__(self, dtype=None, context=None):
func, args, i = context
self.func = func
self.args = args
self.i = i
return np.zeros(1)
class B(object):
def __array__(self, dtype=None):
return np.zeros(1, dtype)
class C(object):
def __array__(self):
return np.zeros(1)
a = A()
ncu.maximum(np.zeros(1), a)
assert_(a.func is ncu.maximum)
assert_equal(a.args[0], 0)
assert_(a.args[1] is a)
assert_(a.i == 1)
assert_equal(ncu.maximum(a, B()), 0)
assert_equal(ncu.maximum(a, C()), 0) 示例12: test_object_nans
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_object_nans(self):
# Multiple checks to give this a chance to
# fail if cmp is used instead of rich compare.
# Failure cannot be guaranteed.
for i in range(1):
x = np.array(float('nan'), np.object)
y = 1.0
z = np.array(float('nan'), np.object)
assert_(np.maximum(x, y) == 1.0)
assert_(np.maximum(z, y) == 1.0) 示例13: test_complex_nans
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_complex_nans(self):
nan = np.nan
for cnan in [complex(nan, 0), complex(0, nan), complex(nan, nan)]:
arg1 = np.array([0, cnan, cnan], dtype=np.complex)
arg2 = np.array([cnan, 0, cnan], dtype=np.complex)
out = np.array([nan, nan, nan], dtype=np.complex)
assert_equal(np.maximum(arg1, arg2), out) 示例14: test_failing_wrap
# 需要導入模塊: from numpy.core import umath [as 別名]
# 或者: from numpy.core.umath import maximum [as 別名]
def test_failing_wrap(self):
class A(object):
def __array__(self):
return np.zeros(1)
def __array_wrap__(self, arr, context):
raise RuntimeError
a = A()
self.assertRaises(RuntimeError, ncu.maximum, a, a)