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

numpy.fmax(x1, x2[, out]) = Element-wise maximum of array elements. Compare two arrays and returns a new array containing the

2025-01-10 15:47:30
numpy.polynomial.chebyshev.chebpow()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebpow(c, pow, maxpower=16)

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numpy.rad2deg()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.rad2deg(x[, out]) = Convert angles from radians to degrees.

2025-01-10 15:47:30
HermiteE.trim()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

HermiteE.trim(tol=0)

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

numpy.ma.hstack(tup) = Stack arrays in sequence horizontally (column wise). Take a sequence of arrays and stack them horizontally

2025-01-10 15:47:30
chararray.base
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.base Base object if memory is from some other object. Examples

2025-01-10 15:47:30
MaskedArray.argmin()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.argmin(axis=None, fill_value=None, out=None)

2025-01-10 15:47:30
numpy.ma.getmaskarray()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.getmaskarray(arr)

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

numpy.divide(x1, x2[, out]) = Divide arguments element-wise.

2025-01-10 15:47:30
numpy.frompyfunc()
  • References/Python/NumPy/Routines/Functional programming

numpy.frompyfunc(func, nin, nout) Takes an arbitrary Python function and returns a Numpy ufunc. Can be used, for example

2025-01-10 15:47:30