BLD: adjust the example to Python 3

2026-08-11 11:16:15 +08:00 · 2018-03-04 18:20:14 +02:00
parent ed406a30ff
commit 09068a4c37
1 changed files with 1 additions and 1 deletions
@@ -66,7 +66,7 @@ def handle_data(context, data):
        # Define portfolio optimization parameters
        n_portfolios = 50000
        results_array = np.zeros((3 + context.nassets, n_portfolios))
-        for p in xrange(n_portfolios):
+        for p in range(n_portfolios):
            weights = np.random.random(context.nassets)
            weights /= np.sum(weights)
            w = np.asmatrix(weights)