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Python numeric.complexfloating方法代码示例

本文整理汇总了Python中numpy.core.numeric.complexfloating方法的典型用法代码示例。如果您正苦于以下问题:Python numeric.complexfloating方法的具体用法?Python numeric.complexfloating怎么用?Python numeric.complexfloating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numpy.core.numeric的用法示例。


在下文中一共展示了numeric.complexfloating方法的12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: getH

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def getH(self):
        """
        Returns the (complex) conjugate transpose of `self`.

        Equivalent to ``np.transpose(self)`` if `self` is real-valued.

        Parameters
        ----------
        None

        Returns
        -------
        ret : matrix object
            complex conjugate transpose of `self`

        Examples
        --------
        >>> x = np.matrix(np.arange(12).reshape((3,4)))
        >>> z = x - 1j*x; z
        matrix([[  0. +0.j,   1. -1.j,   2. -2.j,   3. -3.j],
                [  4. -4.j,   5. -5.j,   6. -6.j,   7. -7.j],
                [  8. -8.j,   9. -9.j,  10.-10.j,  11.-11.j]])
        >>> z.getH()
        matrix([[  0. +0.j,   4. +4.j,   8. +8.j],
                [  1. +1.j,   5. +5.j,   9. +9.j],
                [  2. +2.j,   6. +6.j,  10.+10.j],
                [  3. +3.j,   7. +7.j,  11.+11.j]])

        """
        if issubclass(self.dtype.type, N.complexfloating):
            return self.transpose().conjugate()
        else:
            return self.transpose() 
开发者ID:Frank-qlu,项目名称:recruit,代码行数:35,代码来源:defmatrix.py

示例2: iscomplex

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplex(x):
    """
    Returns a bool array, where True if input element is complex.

    What is tested is whether the input has a non-zero imaginary part, not if
    the input type is complex.

    Parameters
    ----------
    x : array_like
        Input array.

    Returns
    -------
    out : ndarray of bools
        Output array.

    See Also
    --------
    isreal
    iscomplexobj : Return True if x is a complex type or an array of complex
                   numbers.

    Examples
    --------
    >>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
    array([ True, False, False, False, False,  True])

    """
    ax = asanyarray(x)
    if issubclass(ax.dtype.type, _nx.complexfloating):
        return ax.imag != 0
    res = zeros(ax.shape, bool)
    return res[()]   # convert to scalar if needed 
开发者ID:Frank-qlu,项目名称:recruit,代码行数:36,代码来源:type_check.py

示例3: iscomplexobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplexobj(x):
    """
    Check for a complex type or an array of complex numbers.

    The type of the input is checked, not the value. Even if the input
    has an imaginary part equal to zero, `iscomplexobj` evaluates to True.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    iscomplexobj : bool
        The return value, True if `x` is of a complex type or has at least
        one complex element.

    See Also
    --------
    isrealobj, iscomplex

    Examples
    --------
    >>> np.iscomplexobj(1)
    False
    >>> np.iscomplexobj(1+0j)
    True
    >>> np.iscomplexobj([3, 1+0j, True])
    True

    """
    try:
        dtype = x.dtype
        type_ = dtype.type
    except AttributeError:
        type_ = asarray(x).dtype.type
    return issubclass(type_, _nx.complexfloating) 
开发者ID:Frank-qlu,项目名称:recruit,代码行数:40,代码来源:type_check.py

示例4: iscomplex

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplex(x):
    """
    Returns a bool array, where True if input element is complex.

    What is tested is whether the input has a non-zero imaginary part, not if
    the input type is complex.

    Parameters
    ----------
    x : array_like
        Input array.

    Returns
    -------
    out : ndarray of bools
        Output array.

    See Also
    --------
    isreal
    iscomplexobj : Return True if x is a complex type or an array of complex
                   numbers.

    Examples
    --------
    >>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
    array([ True, False, False, False, False,  True])

    """
    ax = asanyarray(x)
    if issubclass(ax.dtype.type, _nx.complexfloating):
        return ax.imag != 0
    res = zeros(ax.shape, bool)
    return +res  # convert to array-scalar if needed 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:36,代码来源:type_check.py

示例5: iscomplex

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplex(x):
    """
    Returns a bool array, where True if input element is complex.

    What is tested is whether the input has a non-zero imaginary part, not if
    the input type is complex.

    Parameters
    ----------
    x : array_like
        Input array.

    Returns
    -------
    out : ndarray of bools
        Output array.

    See Also
    --------
    isreal
    iscomplexobj : Return True if x is a complex type or an array of complex
                   numbers.

    Examples
    --------
    >>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
    array([ True, False, False, False, False,  True], dtype=bool)

    """
    ax = asanyarray(x)
    if issubclass(ax.dtype.type, _nx.complexfloating):
        return ax.imag != 0
    res = zeros(ax.shape, bool)
    return +res  # convet to array-scalar if needed 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:36,代码来源:type_check.py

示例6: iscomplexobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplexobj(x):
    """
    Check for a complex type or an array of complex numbers.

    The type of the input is checked, not the value. Even if the input
    has an imaginary part equal to zero, `iscomplexobj` evaluates to True.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    iscomplexobj : bool
        The return value, True if `x` is of a complex type or has at least
        one complex element.

    See Also
    --------
    isrealobj, iscomplex

    Examples
    --------
    >>> np.iscomplexobj(1)
    False
    >>> np.iscomplexobj(1+0j)
    True
    >>> np.iscomplexobj([3, 1+0j, True])
    True

    """
    try:
        dtype = x.dtype
    except AttributeError:
        dtype = asarray(x).dtype
    try:
        return issubclass(dtype.type, _nx.complexfloating)
    except AttributeError:
        return False 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:42,代码来源:type_check.py

示例7: iscomplexobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplexobj(x):
    """
    Check for a complex type or an array of complex numbers.

    The type of the input is checked, not the value. Even if the input
    has an imaginary part equal to zero, `iscomplexobj` evaluates to True.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    iscomplexobj : bool
        The return value, True if `x` is of a complex type or has at least
        one complex element.

    See Also
    --------
    isrealobj, iscomplex

    Examples
    --------
    >>> np.iscomplexobj(1)
    False
    >>> np.iscomplexobj(1+0j)
    True
    >>> np.iscomplexobj([3, 1+0j, True])
    True

    """
    return issubclass(asarray(x).dtype.type, _nx.complexfloating) 
开发者ID:abhisuri97,项目名称:auto-alt-text-lambda-api,代码行数:35,代码来源:type_check.py

示例8: isrealobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def isrealobj(x):
    """
    Return True if x is a not complex type or an array of complex numbers.

    The type of the input is checked, not the value. So even if the input
    has an imaginary part equal to zero, `isrealobj` evaluates to False
    if the data type is complex.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    y : bool
        The return value, False if `x` is of a complex type.

    See Also
    --------
    iscomplexobj, isreal

    Examples
    --------
    >>> np.isrealobj(1)
    True
    >>> np.isrealobj(1+0j)
    False
    >>> np.isrealobj([3, 1+0j, True])
    False

    """
    return not issubclass(asarray(x).dtype.type, _nx.complexfloating)

#----------------------------------------------------------------------------- 
开发者ID:abhisuri97,项目名称:auto-alt-text-lambda-api,代码行数:37,代码来源:type_check.py

示例9: sort_complex

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def sort_complex(a):
    """
    Sort a complex array using the real part first, then the imaginary part.

    Parameters
    ----------
    a : array_like
        Input array

    Returns
    -------
    out : complex ndarray
        Always returns a sorted complex array.

    Examples
    --------
    >>> np.sort_complex([5, 3, 6, 2, 1])
    array([ 1.+0.j,  2.+0.j,  3.+0.j,  5.+0.j,  6.+0.j])

    >>> np.sort_complex([1 + 2j, 2 - 1j, 3 - 2j, 3 - 3j, 3 + 5j])
    array([ 1.+2.j,  2.-1.j,  3.-3.j,  3.-2.j,  3.+5.j])

    """
    b = array(a, copy=True)
    b.sort()
    if not issubclass(b.dtype.type, _nx.complexfloating):
        if b.dtype.char in 'bhBH':
            return b.astype('F')
        elif b.dtype.char == 'g':
            return b.astype('G')
        else:
            return b.astype('D')
    else:
        return b 
开发者ID:abhisuri97,项目名称:auto-alt-text-lambda-api,代码行数:36,代码来源:function_base.py

示例10: iscomplex

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplex(x):
    """
    Returns a bool array, where True if input element is complex.

    What is tested is whether the input has a non-zero imaginary part, not if
    the input type is complex.

    Parameters
    ----------
    x : array_like
        Input array.

    Returns
    -------
    out : ndarray of bools
        Output array.

    See Also
    --------
    isreal
    iscomplexobj : Return True if x is a complex type or an array of complex
                   numbers.

    Examples
    --------
    >>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
    array([ True, False, False, False, False,  True])

    """
    ax = asanyarray(x)
    if issubclass(ax.dtype.type, _nx.complexfloating):
        return ax.imag != 0
    res = zeros(ax.shape, bool)
    return +res  # convet to array-scalar if needed 
开发者ID:birforce,项目名称:vnpy_crypto,代码行数:36,代码来源:type_check.py

示例11: iscomplexobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def iscomplexobj(x):
    """
    Check for a complex type or an array of complex numbers.

    The type of the input is checked, not the value. Even if the input
    has an imaginary part equal to zero, `iscomplexobj` evaluates to True.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    iscomplexobj : bool
        The return value, True if `x` is of a complex type or has at least
        one complex element.

    See Also
    --------
    isrealobj, iscomplex

    Examples
    --------
    >>> np.iscomplexobj(1)
    False
    >>> np.iscomplexobj(1+0j)
    True
    >>> np.iscomplexobj([3, 1+0j, True])
    True

    """
    return issubclass( asarray(x).dtype.type, _nx.complexfloating) 
开发者ID:ktraunmueller,项目名称:Computable,代码行数:35,代码来源:type_check.py

示例12: isrealobj

# 需要导入模块: from numpy.core import numeric [as 别名]
# 或者: from numpy.core.numeric import complexfloating [as 别名]
def isrealobj(x):
    """
    Return True if x is a not complex type or an array of complex numbers.

    The type of the input is checked, not the value. So even if the input
    has an imaginary part equal to zero, `isrealobj` evaluates to False
    if the data type is complex.

    Parameters
    ----------
    x : any
        The input can be of any type and shape.

    Returns
    -------
    y : bool
        The return value, False if `x` is of a complex type.

    See Also
    --------
    iscomplexobj, isreal

    Examples
    --------
    >>> np.isrealobj(1)
    True
    >>> np.isrealobj(1+0j)
    False
    >>> np.isrealobj([3, 1+0j, True])
    False

    """
    return not issubclass( asarray(x).dtype.type, _nx.complexfloating)

#----------------------------------------------------------------------------- 
开发者ID:ktraunmueller,项目名称:Computable,代码行数:37,代码来源:type_check.py


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