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  • References
  • Python
  • NumPy
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  • Functional programming
Functional Programming:
  • numpy.vectorize


×
numpy.apply_along_axis()
  • References/Python/NumPy/Routines/Functional programming

numpy.apply_along_axis(func1d, axis, arr, *args, **kwargs)

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

class numpy.vectorize(pyfunc, otypes='', doc=None, excluded=None, cache=False)

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

vectorize.__call__(*args, **kwargs)

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
numpy.piecewise()
  • References/Python/NumPy/Routines/Functional programming

numpy.piecewise(x, condlist, funclist, *args, **kw)

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

numpy.apply_over_axes(func, a, axes)

2025-01-10 15:47:30
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