NumPy参考¶
| Release: | 1.11 |
|---|---|
| Date: | February 12, 2017 |
本参考手册详细介绍了NumPy中包含的函数、模块和对象，描述它们是什么以及它们做什么。要学习如何使用NumPy，参见NumPy用户指南。
- Array objects
- Universal functions (
ufunc) - Routines
- Array creation routines
- Array manipulation routines
- 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
- Input and output
- Linear algebra (
numpy.linalg) - Logic functions
- Masked array operations
- 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 C-API
- NumPy internals
- NumPy and SWIG
致谢¶
Large parts of this manual originate from Travis E. Oliphant’s book Guide to NumPy (which generously entered Public Domain in August 2008). The reference documentation for many of the functions are written by numerous contributors and developers of NumPy, both prior to and during the NumPy Documentation Marathon.
Please help to improve NumPy’s documentation! 关于如何加入正在进行的文档马拉松的说明可以在scipy.org网站上找到。