classmethod Legendre.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

numpy.alterdot()

numpy.polynomial.laguerre.lagfit(x, y, deg, rcond=None, full=False, w=None)

Making proper sets

numpy.fft.fftshift(x, axes=None)

numpy.trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None)

nditer.debug_print() Print the current state of the

chararray.upper()

Laguerre.linspace(n=100, domain=None)

numpy.ma.harden_mask(self) = Force the mask to hard. Whether the mask of a masked array is hard or soft is determined