numpy.arccosh()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.

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numpy.source()
  • References/Python/NumPy/Routines/NumPy-specific help functions

numpy.source(object, output=', mode 'w' at 0x402ae078>)

2025-01-10 15:47:30
numpy.moveaxis()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.moveaxis(a, source, destination)

2025-01-10 15:47:30
numpy.unpackbits()
  • References/Python/NumPy/Routines/Binary operations

numpy.unpackbits(myarray, axis=None) Unpacks elements of a uint8 array into a binary-valued output array. Each element

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numpy.ma.clump_masked()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.clump_masked(a)

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numpy.conj()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.conj(x[, out]) = Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by

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Hermite.mapparms()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

Hermite.mapparms()

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dtype.hasobject
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes

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numpy.pad()
  • References/Python/NumPy/Routines/Padding Arrays

numpy.pad(array, pad_width, mode, **kwargs)

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numpy.cov()
  • References/Python/NumPy/Routines/Statistics

numpy.cov(m, y=None, rowvar=True, bias=False, ddof=None, fweights=None, aweights=None)

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