[Numpy-discussion] nan result from np.linalg.lstsq()

[eat]

Hi,

On Mon, Oct 29, 2012 at 11:01 AM, Larry Paltrow <larry.paltrow at 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 <pav at 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
>>
>>
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>
>
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