Routines (SciPy)

The following pages describe SciPy-compatible routines. These functions cover a subset of SciPy routines.

• Discrete Fourier transforms (cupyx.scipy.fft)
  • Fast Fourier Transforms (FFTs)
  • Discrete Cosine and Sine Transforms (DST and DCT)
  • Fast Hankel Transforms
  • Helper functions
  • Code compatibility features
• Legacy discrete fourier transforms (cupyx.scipy.fftpack)
  • Fast Fourier Transforms (FFTs)
  • Code compatibility features
• Interpolation (cupyx.scipy.interpolate)
  • Univariate interpolation
  • 1-D Splines
  • Multivariate interpolation
• Linear algebra (cupyx.scipy.linalg)
  • Basics
  • Matrix Functions
  • Decompositions
  • Special Matrices
• Multidimensional image processing (cupyx.scipy.ndimage)
  • Filters
  • Fourier filters
  • Interpolation
  • Measurements
  • Morphology
  • OpenCV mode
• Signal processing (cupyx.scipy.signal)
  • Convolution
  • B-Splines
  • Filtering
  • Filter design
  • Matlab-style IIR filter design
  • Low-level filter design functions
  • LTI representations
  • Continuous-time linear systems
  • Discrete-time linear systems
  • Waveforms
  • Window functions
  • Wavelets
  • Peak finding
  • Spectral analysis
  • Chirp Z-transform and Zoom FFT
• Signal processing windows (cupyx.scipy.signal.windows)
  • cupyx.scipy.signal.windows.get_window
  • cupyx.scipy.signal.windows.barthann
  • cupyx.scipy.signal.windows.bartlett
  • cupyx.scipy.signal.windows.blackman
  • cupyx.scipy.signal.windows.blackmanharris
  • cupyx.scipy.signal.windows.bohman
  • cupyx.scipy.signal.windows.boxcar
  • cupyx.scipy.signal.windows.chebwin
  • cupyx.scipy.signal.windows.cosine
  • cupyx.scipy.signal.windows.exponential
  • cupyx.scipy.signal.windows.flattop
  • cupyx.scipy.signal.windows.gaussian
  • cupyx.scipy.signal.windows.general_cosine
  • cupyx.scipy.signal.windows.general_gaussian
  • cupyx.scipy.signal.windows.general_hamming
  • cupyx.scipy.signal.windows.hamming
  • cupyx.scipy.signal.windows.hann
  • cupyx.scipy.signal.windows.kaiser
  • cupyx.scipy.signal.windows.nuttall
  • cupyx.scipy.signal.windows.parzen
  • cupyx.scipy.signal.windows.taylor
  • cupyx.scipy.signal.windows.triang
  • cupyx.scipy.signal.windows.tukey
• Sparse matrices (cupyx.scipy.sparse)
  • Conversion to/from SciPy sparse matrices
  • Conversion to/from CuPy ndarrays
  • Contents
• Sparse linear algebra (cupyx.scipy.sparse.linalg)
  • Abstract linear operators
  • Matrix norms
  • Solving linear problems
  • Matrix factorizations
• Compressed sparse graph routines (cupyx.scipy.sparse.csgraph)
  • Contents
• Spatial algorithms and data structures (cupyx.scipy.spatial)
  • Functions
• Distance computations (cupyx.scipy.spatial.distance)
  • Distance matrix computations
  • Distance functions
• Special functions (cupyx.scipy.special)
  • Bessel functions
  • Raw statistical functions
  • Information Theory functions
  • Gamma and related functions
  • Elliptic integrals
  • Error function and Fresnel integrals
  • Legendre functions
  • Other special functions
  • Convenience functions
• Statistical functions (cupyx.scipy.stats)
  • Summary statistics
  • Other statistical functionality