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Numpy函数、模块、类列表
2022-08-08 17:53:00 【Wanderer001】
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 also NumPy User Guide.
- Array objects
- Constants
- 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 Distutils - Users Guide
- NumPy C-API
- NumPy internals
- NumPy and SWIG
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