NumPy: Functional programming routines
Functional programming routines
| Name | Description | Syntax |
|---|---|---|
| apply_along_axis() | Apply a function to 1-D slices along the given axis. | numpy.apply_along_axis(func1d, axis, arr, *args, **kwargs) |
| apply_over_axes() | Apply a function repeatedly over multiple axes. | numpy.apply_over_axes(func, a, axes) |
| vectorize() | Generalized function class. | class numpy.vectorize(pyfunc, otypes=None, doc=None, excluded=None, cache=False, signature=None) |
| frompyfunc() | Takes an arbitrary Python function and returns a NumPy ufunc. | numpy.frompyfunc(func, nin, nout) |
| piecewise() | Evaluate a piecewise-defined function. | numpy.piecewise(x, condlist, funclist, *args, **kw) |
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https://w3resource.com/numpy/functional-programming/index.php
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