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
•          numpy.empty
•          numpy.empty_like
•          numpy.eye
•          numpy.identity
•          numpy.ones
•          numpy.ones_like
•          numpy.zeros
•          numpy.zeros_like
•          numpy.full
•          numpy.full_like
•          numpy.array
•          numpy.asarray
•          numpy.asanyarray
•          numpy.ascontiguousarray
•          numpy.copy
•          numpy.frombuffer
•          numpy.fromfile
•          numpy.fromfunction
•          numpy.fromiter
•          numpy.fromstring
•          numpy.loadtxt
•          numpy.core.records.array
•          numpy.core.records.fromarrays
•          numpy.core.records.fromrecords
•          numpy.core.records.fromstring
•          numpy.core.records.fromfile
•          numpy.core.defchararray.asarray
•          numpy.arange
•          numpy.linspace
•          numpy.logspace
•          numpy.geomspace
•          numpy.meshgrid
•          numpy.mgrid
•          numpy.ogrid
•          numpy.diag
•          numpy.diagflat
•          numpy.tri
•          numpy.tril
•          numpy.triu
•          numpy.vander
•          numpy.mat
•    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
•    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.core.records.array(obj, dtype=None, shape=None, offset=0, strides=None, formats=None, names=None, titles=None, aligned=False, byteorder=None, copy=True)[source]¶

Construct a record array from a wide-variety of objects.