sortind = np.argsort(x['name'], kind='mergesort'); x[sortind]
The indirect sorting method that was suggested works for doing stable sort
on recarrays / structured arrays based on a single-column.
# It is necessary to specify kind='mergesort' because argsort is not stable:
np.argsort(np.ones
What is the recommended way to perform a stable sort on a recarray /
structured array ?
In the following example, I want to sort on name, while retaining the
existing order in the case of equal values:
values = [('a', 1), ('a', 0), ('b', 2)]
dtype = [('name', 'S10'), ('val', 'i4')]
a = np.a
