numpy.savez_compressed(file, *args, **kwds)

numpy.busday_offset(dates, offsets, roll='raise', weekmask='1111100', holidays=None, busdaycal=None, out=None) First adjusts

numpy.shares_memory(a, b, max_work=None) Determine if two arrays share memory

numpy.polynomial.laguerre.lagtrim(c, tol=0)

Legendre.has_samewindow(other)

numpy.polynomial.polynomial.polymulx(c)

Arrayterator.shape The shape of the array to be iterated over. For an example, see

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

numpy.core.defchararray.encode(a, encoding=None, errors=None)

numpy.where(condition[, x, y]) Return elements, either from x or y, depending on condition