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.
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