Hi, On Mon, Oct 29, 2012 at 11:01 AM, Larry Paltrow <larry.palt...@gmail.com>wrote:
> np.isnan(data) is True > >>> False > Check with: np.all(~np.isnan(x)) My 2 cents, -eat > > > On Mon, Oct 29, 2012 at 1:50 AM, Pauli Virtanen <p...@iki.fi> wrote: > >> Larry Paltrow <larry.paltrow <at> gmail.com> writes: >> > I'm having some trouble using the linalg.lstsq() function >> > with certain data and trying to understand why. It's >> > always returning nans when I feed it this numpy array of float64 data: >> > >> > data = df.close.values #coming from a pandas dataframe >> > >> > type(data) >> > >>> numpy.ndarray >> >> Maybe you have NaNs in the array? (i.e. np.isnan(data) is True) >> >> -- >> Pauli Virtanen >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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