本文整理匯總了Python中numpy.lib.type_check.isreal方法的典型用法代碼示例。如果您正苦於以下問題：Python type_check.isreal方法的具體用法？Python type_check.isreal怎麽用？Python type_check.isreal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.lib.type_check的用法示例。
在下文中一共展示了type_check.isreal方法的4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: _fix_int_lt_zero
# 需要導入模塊: from numpy.lib import type_check [as 別名]
# 或者: from numpy.lib.type_check import isreal [as 別名]
def _fix_int_lt_zero(x):
"""Convert `x` to double if it has real, negative components.
Otherwise, output is just the array version of the input (via asarray).
Parameters
----------
x : array_like
Returns
-------
array
Examples
--------
>>> np.lib.scimath._fix_int_lt_zero([1,2])
array([1, 2])
>>> np.lib.scimath._fix_int_lt_zero([-1,2])
array([-1., 2.])
"""
x = asarray(x)
if any(isreal(x) & (x < 0)):
x = x * 1.0
return x 示例2: _fix_real_abs_gt_1
# 需要導入模塊: from numpy.lib import type_check [as 別名]
# 或者: from numpy.lib.type_check import isreal [as 別名]
def _fix_real_abs_gt_1(x):
"""Convert `x` to complex if it has real components x_i with abs(x_i)>1.
Otherwise, output is just the array version of the input (via asarray).
Parameters
----------
x : array_like
Returns
-------
array
Examples
--------
>>> np.lib.scimath._fix_real_abs_gt_1([0,1])
array([0, 1])
>>> np.lib.scimath._fix_real_abs_gt_1([0,2])
array([ 0.+0.j, 2.+0.j])
"""
x = asarray(x)
if any(isreal(x) & (abs(x) > 1)):
x = _tocomplex(x)
return x 示例3: _fix_real_lt_zero
# 需要導入模塊: from numpy.lib import type_check [as 別名]
# 或者: from numpy.lib.type_check import isreal [as 別名]
def _fix_real_lt_zero(x):
"""Convert `x` to complex if it has real, negative components.
Otherwise, output is just the array version of the input (via asarray).
Parameters
----------
x : array_like
Returns
-------
array
Examples
--------
>>> np.lib.scimath._fix_real_lt_zero([1,2])
array([1, 2])
>>> np.lib.scimath._fix_real_lt_zero([-1,2])
array([-1.+0.j, 2.+0.j])
"""
x = asarray(x)
if any(isreal(x) & (x<0)):
x = _tocomplex(x)
return x 示例4: _fix_real_abs_gt_1
# 需要導入模塊: from numpy.lib import type_check [as 別名]
# 或者: from numpy.lib.type_check import isreal [as 別名]
def _fix_real_abs_gt_1(x):
"""Convert `x` to complex if it has real components x_i with abs(x_i)>1.
Otherwise, output is just the array version of the input (via asarray).
Parameters
----------
x : array_like
Returns
-------
array
Examples
--------
>>> np.lib.scimath._fix_real_abs_gt_1([0,1])
array([0, 1])
>>> np.lib.scimath._fix_real_abs_gt_1([0,2])
array([ 0.+0.j, 2.+0.j])
"""
x = asarray(x)
if any(isreal(x) & (abs(x)>1)):
x = _tocomplex(x)
return x