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- numpy.cos
...NumPy reference Routines and objects by topic Mathematical functions numpy.cos...
- numpy.cosh
...NumPy reference Routines and objects by topic Mathematical functions numpy.cosh...
- numpy.cos (Python data, in numpy.cos)
numpy.distutilsuser guide...>= 3.12. For more details, see Status of numpy.distutils and migration advice SciPy structure Currently SciPy project consists of two packages: NumPy — it provides packages like: numpy.distutils - extension to Python distutils numpy.f2p...
numpy.polynomial...es,” i.e., a polynomial (also referred to simply as a “series”) is represented by a 1-D numpy array of the polynomial’s coefficients, ordered from lowest order term to highest. For example, array([1,2,3]) represents P_0 + 2*P_1 + 3*P_2, wh...
- Array broadcasting in Numpy
...Array broadcasting in Numpy
- Array creation
...Array creation See also Array creation routines Introduction There are 6 general mechanisms for creating arrays: Conversion from other Python structures (i.e. lists and tuples) Intrinsic NumPy array creation functions (e.g. arange, o...
- Array creation routines
....]) Return a full array with the same shape and type as a given array. From existing data array(object[, dtype, copy, order, subok, ...]) Create an array. asarray(a[, dtype, order, device, copy, like]) Convert the input to an array...
- Array iterator API
...Array iterator API Array iterator The array iterator encapsulates many of the key features in ufuncs, allowing user code to support features like output parameters, preservation of memory layouts, and buffering of data with the wrong al...
- Building from source
...Building from source Note If you are only trying to install NumPy, we recommend using binaries - see Installation for details on that. Building NumPy from source requires setting up system-le...
- Building the NumPy API and reference docs
...Contributing to NumPy Building the NumPy API and reference docs...
- Chebyshev Series (
numpy.polynomial.chebyshev)...d works with such polynomials is in the docstring for its “parent” sub-package, numpy.polynomial). Classes Chebyshev(coef[, domain, window, symbol]) A Chebyshev series class. Constants chebdomain An array object represents a mult...
- Constants of the
numpy.mamodule - Contributing to NumPy
...Contributing to NumPy...
- CPU build options
...ing of the baseline features will often improve performance and may also reduce binary size. The following are the most common scenarios that may require changing the default settings: I am building NumPy for my local use And I do not inte...
- ctypes foreign function interface (
numpy.ctypeslib)...ctypes array or POINTER. The numpy array shares the memory with the ctypes object. The shape parameter must be given if converting from a ctypes POINTER. The shape parameter is ignored if converting from a ctypes array Examples Converting a...
- Data type classes (
numpy.dtypes)...y 1.25. Previously DType classes were only accessible indirectly. DType classes The following are the classes of the corresponding NumPy dtype instances and NumPy scalar types. The classes can be used in isinstance checks and can also b...
- Data type promotion in NumPy
- Data types
...Data types See also Data type objects Array types and conversions between types NumPy supports a much greater variety of numerical types than Python does. This section shows...
- Discrete Fourier Transform (
numpy.fft) - Exceptions and Warnings (
numpy.exceptions) - Extending
numpy.randomvia Cython - For downstream package authors
- Hermite Series, “Physicists” (
numpy.polynomial.hermite) - HermiteE Series, “Probabilists” (
numpy.polynomial.hermite_e) - How to contribute to the NumPy documentation
- How to extend NumPy
- How to write a NumPy how-to
- I/O with NumPy
- Input and output
- Installing NumPy
- Internal organization of NumPy arrays
- Interoperability with NumPy
- Laguerre Series (
numpy.polynomial.laguerre) - Legacy random generation
- Legendre Series (
numpy.polynomial.legendre) - Lib module (
numpy.lib) - Linear algebra (
numpy.linalg) - Matrix library (
numpy.matlib) - Memory alignment
- Memory management in NumPy
- Miscellaneous
- Miscellaneous routines
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