Routines (SciPy)#
The following pages describe SciPy-compatible routines. These functions cover a subset of SciPy routines.
- Discrete Fourier transforms (
cupyx.scipy.fft
) - Legacy discrete fourier transforms (
cupyx.scipy.fftpack
) - Interpolation (
cupyx.scipy.interpolate
) - Linear algebra (
cupyx.scipy.linalg
) - Multidimensional image processing (
cupyx.scipy.ndimage
) - Signal processing (
cupyx.scipy.signal
) - 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
) - Sparse linear algebra (
cupyx.scipy.sparse.linalg
) - Compressed sparse graph routines (
cupyx.scipy.sparse.csgraph
) - Spatial algorithms and data structures (
cupyx.scipy.spatial
) - Distance computations (
cupyx.scipy.spatial.distance
) - Special functions (
cupyx.scipy.special
) - Statistical functions (
cupyx.scipy.stats
)