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• numpy.generic.imag

  ...NumPy reference Array objects Scalars numpy.generic.imag...

• numpy.generic.imag (Python attribute, in numpy.generic.imag)
• Array API

  ..., and can be used to iter over a neighborhood of a point. For example, you may want to iterate over every voxel of a 3d image, and for every such voxel, iterate over an hypercube. Neighborhood iterator automatically handle boundaries, thus...

• Array creation

  ...but for which it is not hard to convert are those formats supported by libraries like PIL (able to read and write many image formats such as jpg, png, etc). Common ASCII formats Delimited files such as comma separated value (csv) and tab...

• Broadcasting
• Data type promotion in NumPy

  ...and for example an operation involving int64 and uint64 gives float64. Please see the Numerical promotion section and image below for details on both. Detailed behavior of Python scalars Since NumPy 2.0 [2], an important point in our pro...

• Discrete Fourier Transform (numpy.fft)

  ...ts in the input (time) domain for n real points in the frequency domain. In higher dimensions, FFTs are used, e.g., for image analysis and filtering. The computational efficiency of the FFT means that it can also be a faster way to compute...

• How to contribute to the NumPy documentation

  ...or if you can only come up with a rough draft. Open source is a community effort. Do your best – we’ll help fix issues. Images and real-life data make text more engaging and powerful, but be sure what you use is appropriately licensed and a...

• Internal organization of NumPy arrays

  ...ng issue. This section will try to explain in detail how NumPy indexing works and why we adopt the convention we do for images, and when it may be appropriate to adopt other conventions. The first thing to understand is that there are two c...

• Memory alignment

  .... For example, on a (typical Linux x64 GCC) system, the NumPy complex64 datatype is implemented as struct { float real, imag; }. This has “true” alignment of 4 and “uint” alignment of 8 (equal to the true alignment of uint64). Some cases w...

• NumPy 1.21.1 Release Notes
• NumPy 1.22.2 Release Notes
• NumPy 2.0 migration guide

  ...ns identical to the types used in NumPy 1.x, the API is slightly different, since direct field access (like c.real or c.imag) is no longer possible. It is recommended to use the functions npy_creal and npy_cimag (and the corresponding float...

• NumPy 2.0.0 Release Notes

  ...directly retrieve or write the real or complex part of the complex number, since direct field access (as in c.real or c.imag) is no longer an option. You can now use utilities provided in numpy/npy_math.h to do these operations, like this:...

• NumPy 2.2.0 Release Notes

  ...). It is further safe now to call the scalar __array_wrap__ on a non-scalar result. (gh-27807) Bump the musllinux CI image and wheels to 1_2 from 1_1. This is because 1_1 is end of life. (gh-27088) NEP 50 promotion state option removed...

• NumPy core math library
• NumPy quickstart

  ..., argmin, argsort, max, min, ptp, searchsorted, sort Operationschoose, compress, cumprod, cumsum, inner, ndarray.fill, imag, prod, put, putmask, real, sum Basic Statisticscov, mean, std, var Basic Linear Algebracross, dot, outer, linalg....

• numpy.fft.ifft
• numpy.generic.imag

  ...NumPy reference Array objects Scalars numpy.generic.imag...

• numpy.histogram2d
• numpy.i: a SWIG interface file for NumPy
• numpy.ndarray
• numpy.polynomial.chebyshev.chebdomain
• numpy.polynomial.chebyshev.chebone
• numpy.polynomial.chebyshev.chebx
• numpy.polynomial.chebyshev.chebzero
• numpy.polynomial.hermite.hermdomain
• numpy.polynomial.hermite.hermone
• numpy.polynomial.hermite.hermx
• numpy.polynomial.hermite.hermzero
• numpy.polynomial.hermite_e.hermedomain
• numpy.polynomial.hermite_e.hermeone
• numpy.polynomial.hermite_e.hermex
• numpy.polynomial.hermite_e.hermezero
• numpy.polynomial.laguerre.lagdomain
• numpy.polynomial.laguerre.lagone
• numpy.polynomial.laguerre.lagx
• numpy.polynomial.laguerre.lagzero
• numpy.polynomial.legendre.legdomain
• numpy.polynomial.legendre.legone
• numpy.polynomial.legendre.legx
• numpy.polynomial.legendre.legzero
• numpy.polynomial.polynomial.polydomain
• numpy.polynomial.polynomial.polyone
• numpy.polynomial.polynomial.polyx
• numpy.polynomial.polynomial.polyzero
• numpy.sign
• numpy.trapezoid
• NumPy: the absolute basics for beginners
• Releasing a version
• Using NumPy C-API
• Using Python as glue
• Data type API
• Data type objects (dtype)
• Development workflow
• Indexing on ndarrays
• Scalars
• Setting up and using your development environment
• The array interface protocol
• The N-dimensional array (ndarray)
• Troubleshooting