When NumPy is built, information about system configuration is recorded, and is made available for extension modules using Numpy?s C API. These are mostly defined in numpyconfig.h (included

Laguerre.deriv(m=1)

numpy.random.wald(mean, scale, size=None) Draw samples from a Wald, or inverse Gaussian, distribution. As the scale

See also

apply_along_axis(func1d, axis, arr, *args, ...) Apply a function to 1-D slices along the given axis. apply_over_axes(func, a, axes) Apply a function repeatedly over multiple axes. vectorize(pyfunc[, otypes, doc, excluded, cache]) Generalized function class. frompyfunc(func, nin, nout) Takes an arbitrary Python function and returns a Numpy ufunc. piecewise(x, condlist, funclist, *args, **kw) Evaluate a piecewise-defined function.

numpy.delete(arr, obj, axis=None)

numpy.mod(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

numpy.obj2sctype(rep, default=None)

numpy.ma.compress_rows(a)

numpy.ma.masked_equal(x, value, copy=True)