I'm using linalg.eig() and it works exactly as intended. The values of
the principal eigenvector are presented as real numbers (e.g.,
0.159317312615085), and I'm wondering if there's a way within NumPy to
multiply these values by 100 and limit the precision to 4 significant digits
(e.g., 15.93). If I was printing the results I could use format specifiers,
but these numbers are being inserted into a database table as well as being
displayed within wxPython widgets.