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
•    Mathematical functions
•    Matrix library (numpy.matlib)
•    Miscellaneous routines
•          numpy.getbufsize
•          numpy.shares_memory
•          numpy.may_share_memory
•          numpy.byte_bounds
•          numpy.lib.mixins.NDArrayOperatorsMixin
•          numpy.lib.NumpyVersion
•          numpy.get_include
•          numpy.deprecate
•          numpy.deprecate_with_doc
•          numpy.who
•          numpy.disp
•    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.get_include（）[来源] ¶

返回包含NumPy * .h头文件的目录。

需要针对NumPy进行编译的扩展模块应使用此功能来找到适当的包含目录。

笔记

使用时distutils，例如在中setup.py。

import numpy as np
...
Extension('extension_name', ...
        include_dirs=[np.get_include()])
...