NumPy 參考

Release:

2.6.dev0

Date:

6月 15, 2026

This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete documentation.

Python API

• NumPy 的模組結構

• 陣列物件
  • N 維陣列（ndarray）
  • Scalars
  • Data type objects (dtype)
  • Data type promotion in NumPy
  • 遍歷陣列
  • 標準陣列子類別
  • Masked arrays
  • The array interface protocol
  • Datetimes and timedeltas

• Universal functions (ufunc)

• Routines and objects by topic
  • 常數
  • Array creation routines
  • Array manipulation routines
  • Bit-wise operations
  • String functionality
  • Datetime support functions
  • Data type routines
  • Mathematical functions with automatic domain
  • Floating point error handling
  • Exceptions and Warnings
  • 離散傅立葉變換
  • Functional programming
  • 輸入與輸出
  • Indexing routines
  • 線性代數
  • Logic functions
  • Masked array operations
  • Mathematical functions
  • Miscellaneous routines
  • 多項式
  • Random sampling
  • Set routines
  • 排序、搜尋與計數
  • Statistics
  • Test support
  • Window functions

• Typing (numpy.typing)

C API

• NumPy C-API
  • Python types and C-structures
  • 系統組態
  • Data type API
  • Array API
  • Array iterator API
  • ufunc API
  • Generalized universal function API
  • NpyString API
  • NumPy 核心數學庫
  • Datetime API
  • C API deprecations
  • NumPy 中的記憶體管理

其他話題

• 陣列 API 標準相容性
• CPU/SIMD 最佳化
• Thread Safety
• Global Configuration Options
• NumPy security
• Testing guidelines
• Status of numpy.distutils and migration advice
• NumPy 與 SWIG

Acknowledgements

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.