NumPy Reference¶
| Release: | 1.5 |
|---|---|
| Date: | November 18, 2010 |
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
- Universal functions (ufunc)
- Routines
- Array creation routines
- Array manipulation routines
- Indexing routines
- Data type routines
- Input and output
- Discrete Fourier Transform (numpy.fft)
- Linear algebra (numpy.linalg)
- Random sampling (numpy.random)
- Sorting and searching
- Logic functions
- Binary operations
- Statistics
- Mathematical functions
- Functional programming
- Polynomials
- Financial functions
- Set routines
- Window functions
- Floating point error handling
- Masked array operations
- Numpy-specific help functions
- Miscellaneous routines
- Test Support (numpy.testing)
- Asserts
- Mathematical functions with automatic domain (numpy.emath)
- Matrix library (numpy.matlib)
- Optionally Scipy-accelerated routines (numpy.dual)
- Numarray compatibility (numpy.numarray)
- Old Numeric compatibility (numpy.oldnumeric)
- C-Types Foreign Function Interface (numpy.ctypeslib)
- String operations
- Packaging (numpy.distutils)
- Numpy C-API
- Numpy internals
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, both prior to and during the Numpy Documentation Marathon.
Please help to improve NumPy’s documentation! Instructions on how to join the ongoing documentation marathon can be found on the scipy.org website
