Hi Leon,
When I run your script, I get no instances of NaN in the data.
I wonder if it's a problem with storing the data as a npy file. I asked
around last spring and everybody seemed to think that the format is
compatible across platforms and numpy versions, but I may be wrong.
Does anybody know?
Jake
On 11/15/2012 07:30 PM, Leon Palafox wrote:
Hello Jake,
The error is easy to reproduce, after downloading the data for the
file sdss_photoz via the fetch_data script:
data=np.load('./sklearn_tutorial/doc/data/sdss_photoz/sdss_photoz.npy')
print data.dtype.names
#########################################################
count=0
N=len(data)
X=np.zeros((N,4))
for i in range(N):
X[i,0]= data['u'][i]-data['g'][i]
if np.isnan(X[i,0]):
print data['u'][i],data['g'][i]
raw_input()
Is just a messy script to loop over each input in the data file and
stop if you have a NaN, but you'll see there are many NaN along the
way. I haven't tried using the sql script, perhaps I'll do it later
that I have some more time. The data with the redshifts also has
several NaN along the way.
Note: I downloaded the data several times at 7:00 pm Japan Standard
Time, and again this noon at 12:30 JST
Thanks
Leon
On Fri, Nov 16, 2012 at 2:26 AM, Jake Vanderplas
<[email protected]
<mailto:[email protected]>> wrote:
Hi Leon,
I haven't run into any NaN issues, or heard of anyone else having
that problem. Can you send the traceback for the specific error
you're getting? Thanks
Jake
On 11/15/2012 04:14 AM, Jaques Grobler wrote:
Hi Leon -
I hadn't encountered this back when I looked at this.
I think @JacobVanderPlas would perhaps be best with this since he
put that tutorial together.
I'm sure he'll be able to help with this.
ping @jakevp :)
Regards, J
2012/11/15 Leon Palafox <[email protected]
<mailto:[email protected]>>
Hey Guys,
I was running the data set in the Tree Regression Example for
the astroml
(http://astroml.github.com/sklearn_tutorial/regression.html#a-simple-method-decision-tree-regression)
And I bumped with some NaN that come from the dataset.
Has anyone else encountered this issue, and if so, how did
you solved it, I think it is important to solve it, since it
renders those examples unusable.
Best
--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
+81-3-5841-8436 <tel:%2B81-3-5841-8436>
University of Tokyo
Tokyo, Japan.
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--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
+81-3-5841-8436
University of Tokyo
Tokyo, Japan.
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