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| author | chebee7i <chebee7i@gmail.com> | 2015-10-18 09:42:26 -0500 |
|---|---|---|
| committer | chebee7i <chebee7i@gmail.com> | 2015-10-18 09:42:26 -0500 |
| commit | ec5e42ee87f64817767bb9fbda6ee3e51035e2a2 (patch) | |
| tree | f966d866e4ca286c4ab5672c5e14c9d31abd98b9 | |
| parent | a66a1ef4452ea41d191585d70159a1460264fc95 (diff) | |
| download | networkx-revert-1806-patch-numpy-compatible.tar.gz | |
Revert "fix compatible issue with new numpy"revert-1806-patch-numpy-compatible
| -rw-r--r-- | networkx/linalg/algebraicconnectivity.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/networkx/linalg/algebraicconnectivity.py b/networkx/linalg/algebraicconnectivity.py index de4ef0bf..b40fe6f1 100644 --- a/networkx/linalg/algebraicconnectivity.py +++ b/networkx/linalg/algebraicconnectivity.py @@ -244,7 +244,7 @@ def _tracemin_fiedler(L, X, normalized, tol, method): W -= (W.T * X * X.T).T project(W) # Compute the diagonal of P * L * P as a Jacobi preconditioner. - D = L.diagonal().astype(float) + D = L.diagonal() D += 2. * (asarray(X) * asarray(W)).sum(axis=1) D += (asarray(X) * asarray(X * (W.T * X))).sum(axis=1) D[D < tol * Lnorm] = 1. |