本文整理汇总了Python中numpy.core.umath.subtract方法的典型用法代码示例。如果您正苦于以下问题:Python umath.subtract方法的具体用法?Python umath.subtract怎么用?Python umath.subtract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.core.umath
的用法示例。
在下文中一共展示了umath.subtract方法的4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: _ptp
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import subtract [as 别名]
def _ptp(a, axis=None, out=None, keepdims=False):
return um.subtract(
umr_maximum(a, axis, None, out, keepdims),
umr_minimum(a, axis, None, None, keepdims),
out
)
示例2: __sub__
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import subtract [as 别名]
def __sub__(self, other):
"Return subtract(self, other)"
return subtract(self, other)
示例3: __rsub__
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import subtract [as 别名]
def __rsub__(self, other):
"Return subtract(other, self)"
return subtract(other, self)
示例4: __isub__
# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import subtract [as 别名]
def __isub__(self, other):
"Subtract other from self in place."
t = self._data.dtype.char
f = filled(other, 0)
t1 = f.dtype.char
if t == t1:
pass
elif t in typecodes['Integer']:
if t1 in typecodes['Integer']:
f = f.astype(t)
else:
raise TypeError('Incorrect type for in-place operation.')
elif t in typecodes['Float']:
if t1 in typecodes['Integer']:
f = f.astype(t)
elif t1 in typecodes['Float']:
f = f.astype(t)
else:
raise TypeError('Incorrect type for in-place operation.')
elif t in typecodes['Complex']:
if t1 in typecodes['Integer']:
f = f.astype(t)
elif t1 in typecodes['Float']:
f = f.astype(t)
elif t1 in typecodes['Complex']:
f = f.astype(t)
else:
raise TypeError('Incorrect type for in-place operation.')
else:
raise TypeError('Incorrect type for in-place operation.')
if self._mask is nomask:
self._data -= f
m = getmask(other)
self._mask = m
self._shared_mask = m is not nomask
else:
result = subtract(self, masked_array(f, mask=getmask(other)))
self._data = result.data
self._mask = result.mask
self._shared_mask = 1
return self