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

numpy.isfinite(x[, out]) = Test element-wise for finiteness (not infinity or not Not a Number). The result is returned as

numpy.broadcast_arrays(*args, **kwargs)

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

ndarray.__ge__ x.__ge__(y) <==> x>=y

numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

ndarray.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

numpy.nanargmax(a, axis=None)

numpy.fill_diagonal(a, val, wrap=False)

numpy.nanmean(a, axis=None, dtype=None, out=None, keepdims=False)