python - scipy / numpy linalg.eigval result interpretation -


i newbie when comes using python libraries numerical tasks. reading paper on lexrank , wanted know how compute eigenvectors of transition matrix. used eigval function , got result have hard time interpreting:

a = numpy.zeros(shape=(4,4))  a[0,0]=0.333 a[0,1]=0.333 a[0,2]=0 a[0,3]=0.333  a[1,0]=0.25 a[1,1]=0.25 a[1,2]=0.25 a[1,3]=0.25  a[2,0]=0.5 a[2,1]=0.0 a[2,2]=0.0 a[2,3]=0.5  a[3,0]=0.0 a[3,1]=0.333 a[3,2]=0.333 a[3,3]=0.333  print la.eigval(a)

and eigenvalue is: 

[ 0.99943032+0.j          -0.13278637+0.24189178j   -0.13278637-0.24189178j     0.18214242+0.j        ]

can please explain j doing here? isn't eigenvalue supposed scalar quantity? how can interpret result broadly?

j imaginary number, square root of minus one. in math denoted i, in engineering, , in python, denoted j.


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