NumPy NumPy参考

• 数组对象
• 常数
• 通用功能（ufunc）
• 例行程序
•    数组创建例程
•    数组操作例程
•    Binary operations
•    String operations
•    C-Types Foreign Function Interface (numpy.ctypeslib)
•    Datetime Support Functions
•    Data type routines
•    Optionally Scipy-accelerated routines (numpy.dual)
•    Mathematical functions with automatic domain (numpy.emath)
•    Floating point error handling
•    Discrete Fourier Transform (numpy.fft)
•    Financial functions
•    Functional programming
•    NumPy-specific help functions
•    Indexing routines
•    输入输出
•    线性代数（numpy.linalg）
•    逻辑功能
•          numpy.all
•          numpy.any
•          numpy.isfinite
•          numpy.isinf
•          numpy.isnan
•          numpy.isnat
•          numpy.isneginf
•          numpy.isposinf
•          numpy.iscomplex
•          numpy.iscomplexobj
•          numpy.isfortran
•          numpy.isreal
•          numpy.isrealobj
•          numpy.isscalar
•          numpy.logical_and
•          numpy.logical_or
•          numpy.logical_not
•          numpy.logical_xor
•          numpy.allclose
•          numpy.isclose
•          numpy.array_equal
•          numpy.array_equiv
•          numpy.greater
•          numpy.greater_equal
•          numpy.less
•          numpy.less_equal
•          numpy.equal
•          numpy.not_equal
•    Mathematical functions
•    Matrix library (numpy.matlib)
•    Miscellaneous routines
•    Padding Arrays
•    Polynomials
•    Random sampling (numpy.random)
•    Set routines
•    Sorting, searching, and counting
•    Statistics
•    Test Support (numpy.testing)
•    Window functions
• Packaging (numpy.distutils)
• NumPy Distutils - Users Guide
• NumPy C-API
• NumPy内部
• NumPy和SWIG

numpy.iscomplexobj（x ）[来源] ¶

检查复杂类型或复杂数字数组。

检查输入的类型，而不检查值。即使输入的虚部等于零，也iscomplexobj计算为True。

参量

x 任何

输入可以是任何类型和形状。

退货

iscomplexobj bool

如果x为复杂类型或具有至少一个复杂元素，则返回值为True 。

也可以看看

isrealobj， iscomplex

例子

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