[SciPy-User] stats.chisquare issues
Mon Sep 27 20:42:27 CDT 2010
On Mon, Sep 27, 2010 at 6:39 PM, Gökhan Sever <email@example.com> wrote:
> On Mon, Sep 27, 2010 at 2:41 PM, Bruce Southey <firstname.lastname@example.org> wrote:
>> >>>> stats.chisquare(np.array([4, 1, 3, 1.]),np.array([4, 2, 2, 1.]))
>> > (1.0, 0.80125195690120077)
>> > Not accepting list is a bug
>> It is not a bug because the docstring says arrays not array-like.
> This is interesting. I am too much used to then getting array-like sequences
> converted to np.arrays under the hood when I forget explicitly using
> np.arrays for numpy, scipy and matplotlib libraries.
Actually I think that this is rather typical of the scipy.stats
functions. Some functions use _chk_asarray that can convert array-like
input into arrays.
But enhancement patches to handle array-like inputs or other array
types like masked arrays are very welcome!
>> If you are doing something like density estimation then you probably
>> need to select your bins (especially in the tails) more carefully to
>> avoid this from happening.
> I was testing chi-square test to see how well my model representing my
> actual observed data. Right know I don't need to use the function for
> further calculation as I have different methods to estimate the quality of
> my fit.
> Thanks for your suggestions.
Good as I was just guessing.
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