John Hunter wrote: > I was surprised to see that numarray.mlab.cov is returning a rank-0 > complex number when given two 1D arrays as inputs rather than the > standard 2x2 covariance array I am used to seeing. Is this a feature > or a bug? > > > In [2]: import numarray.mlab as nam > > In [3]: x = nam.rand(10) > > In [4]: y = nam.rand(10) > > In [5]: nam.cov(x, y) > Out[5]: array((0.014697855954587828+0j)) > > In [6]: import numpy.oldnumeric.mlab as npm > > In [7]: x = npm.rand(10) > > In [8]: y = npm.rand(10) > > In [9]: npm.cov(x, y) > Out[9]: > array([[ 0.13243082, 0.0520454 ], > [ 0.0520454 , 0.07435816]]) > > In [10]: import numarray > > In [11]: numarray.__version__ > Out[11]: '1.3.3' > > In [12]: import numpy > > In [13]: numpy.__version__ > Out[13]: '1.0b2.dev2999' > > ------------------------------------------------------------------------- > Using Tomcat but need to do more? Need to support web services, security? > Get stuff done quickly with pre-integrated technology to make your job easier > Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/numpy-discussion >
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