本文整理汇总了Python中numpy.matrix.sum方法的典型用法代码示例。如果您正苦于以下问题：Python matrix.sum方法的具体用法？Python matrix.sum怎么用？Python matrix.sum使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.matrix的用法示例。
在下文中一共展示了matrix.sum方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_sum
# 需要导入模块: from numpy import matrix [as 别名]
# 或者: from numpy.matrix import sum [as 别名]
def test_sum(self):
"""Test whether matrix.sum(axis=1) preserves orientation.
Fails in NumPy <= 0.9.6.2127.
"""
M = matrix([[1, 2, 0, 0],
[3, 4, 0, 0],
[1, 2, 1, 2],
[3, 4, 3, 4]])
sum0 = matrix([8, 12, 4, 6])
sum1 = matrix([3, 7, 6, 14]).T
sumall = 30
assert_array_equal(sum0, M.sum(axis=0))
assert_array_equal(sum1, M.sum(axis=1))
assert_equal(sumall, M.sum())
assert_array_equal(sum0, np.sum(M, axis=0))
assert_array_equal(sum1, np.sum(M, axis=1))
assert_equal(sumall, np.sum(M)) 示例2: test_noaxis
# 需要导入模块: from numpy import matrix [as 别名]
# 或者: from numpy.matrix import sum [as 别名]
def test_noaxis(self):
A = matrix([[1, 0], [0, 1]])
assert_(A.sum() == matrix(2))
assert_(A.mean() == matrix(0.5)) 示例3: test_instance_methods
# 需要导入模块: from numpy import matrix [as 别名]
# 或者: from numpy.matrix import sum [as 别名]
def test_instance_methods(self):
a = matrix([1.0], dtype='f8')
methodargs = {
'astype': ('intc',),
'clip': (0.0, 1.0),
'compress': ([1],),
'repeat': (1,),
'reshape': (1,),
'swapaxes': (0, 0),
'dot': np.array([1.0]),
}
excluded_methods = [
'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
'searchsorted', 'setflags', 'setfield', 'sort',
'partition', 'argpartition',
'take', 'tofile', 'tolist', 'tostring', 'tobytes', 'all', 'any',
'sum', 'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
'prod', 'std', 'ctypes', 'itemset',
]
for attrib in dir(a):
if attrib.startswith('_') or attrib in excluded_methods:
continue
f = getattr(a, attrib)
if isinstance(f, collections_abc.Callable):
# reset contents of a
a.astype('f8')
a.fill(1.0)
if attrib in methodargs:
args = methodargs[attrib]
else:
args = ()
b = f(*args)
assert_(type(b) is matrix, "%s" % attrib)
assert_(type(a.real) is matrix)
assert_(type(a.imag) is matrix)
c, d = matrix([0.0]).nonzero()
assert_(type(c) is np.ndarray)
assert_(type(d) is np.ndarray) 示例4: test_instance_methods
# 需要导入模块: from numpy import matrix [as 别名]
# 或者: from numpy.matrix import sum [as 别名]
def test_instance_methods(self):
a = matrix([1.0], dtype='f8')
methodargs = {
'astype': ('intc',),
'clip': (0.0, 1.0),
'compress': ([1],),
'repeat': (1,),
'reshape': (1,),
'swapaxes': (0, 0),
'dot': np.array([1.0]),
}
excluded_methods = [
'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
'searchsorted', 'setflags', 'setfield', 'sort',
'partition', 'argpartition',
'take', 'tofile', 'tolist', 'tostring', 'tobytes', 'all', 'any',
'sum', 'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
'prod', 'std', 'ctypes', 'itemset',
]
for attrib in dir(a):
if attrib.startswith('_') or attrib in excluded_methods:
continue
f = getattr(a, attrib)
if isinstance(f, collections.Callable):
# reset contents of a
a.astype('f8')
a.fill(1.0)
if attrib in methodargs:
args = methodargs[attrib]
else:
args = ()
b = f(*args)
assert_(type(b) is matrix, "%s" % attrib)
assert_(type(a.real) is matrix)
assert_(type(a.imag) is matrix)
c, d = matrix([0.0]).nonzero()
assert_(type(c) is np.ndarray)
assert_(type(d) is np.ndarray) 示例5: test_instance_methods
# 需要导入模块: from numpy import matrix [as 别名]
# 或者: from numpy.matrix import sum [as 别名]
def test_instance_methods(self):
a = matrix([1.0], dtype='f8')
methodargs = {
'astype': ('intc',),
'clip': (0.0, 1.0),
'compress': ([1],),
'repeat': (1,),
'reshape': (1,),
'swapaxes': (0, 0),
'dot': np.array([1.0]),
}
excluded_methods = [
'argmin', 'choose', 'dump', 'dumps', 'fill', 'getfield',
'getA', 'getA1', 'item', 'nonzero', 'put', 'putmask', 'resize',
'searchsorted', 'setflags', 'setfield', 'sort',
'partition', 'argpartition',
'take', 'tofile', 'tolist', 'tostring', 'all', 'any', 'sum',
'argmax', 'argmin', 'min', 'max', 'mean', 'var', 'ptp',
'prod', 'std', 'ctypes', 'itemset', 'setasflat'
]
for attrib in dir(a):
if attrib.startswith('_') or attrib in excluded_methods:
continue
f = getattr(a, attrib)
if isinstance(f, collections.Callable):
# reset contents of a
a.astype('f8')
a.fill(1.0)
if attrib in methodargs:
args = methodargs[attrib]
else:
args = ()
b = f(*args)
assert_(type(b) is matrix, "%s" % attrib)
assert_(type(a.real) is matrix)
assert_(type(a.imag) is matrix)
c, d = matrix([0.0]).nonzero()
assert_(type(c) is matrix)
assert_(type(d) is matrix)