diff --git a/netZooPy/condor/condor.py b/netZooPy/condor/condor.py
index 92f7d9a9..9d234ccd 100644
--- a/netZooPy/condor/condor.py
+++ b/netZooPy/condor/condor.py
@@ -304,8 +304,8 @@ def matrices(self, c,resolution):
 
             # Computes weighted biadjacency matrix.
             A = np.matrix(np.zeros((p, q)))
-            for edge in self.net.itertuples(index=False):
-                A[gn[edge[1]], rg[edge[0]]] = edge[2]
+            for edge in self.net.iterrows():
+                A[gn[edge[1].iloc[1]], rg[edge[1].iloc[0]]] = edge[1].iloc[2]
 
             # Computes node degrees for the nodesets.
             ki = A.sum(1)
diff --git a/recipe/recipe.yaml b/recipe/recipe.yaml
index c7b73c93..f8d2a1cb 100644
--- a/recipe/recipe.yaml
+++ b/recipe/recipe.yaml
@@ -1,6 +1,6 @@
 package:
   name: netzoopy
-  version: "0.10.9"
+  version: "0.11.0"
 
 source:
   path: ..
diff --git a/tests/test_cobra.py b/tests/test_cobra.py
index f5c12108..4a11b53c 100644
--- a/tests/test_cobra.py
+++ b/tests/test_cobra.py
@@ -39,6 +39,6 @@ def test_cobra():
     q = psi.shape[0]
     X_mean = np.mean(X.to_numpy(), axis=0)
     for i in range(q):
-        C = Q.to_numpy().dot(X_mean[i] * np.diag(psi.to_numpy()[i, :])).dot(Q.to_numpy().T)
-        C_gt = Q_gt.to_numpy().dot(X_mean[i] * np.diag(psi_gt.to_numpy()[i, :])).dot(Q_gt.to_numpy().T)
+        C = Q.to_numpy().dot(np.mean(X, axis=0).iloc[i] * np.diag(psi.to_numpy()[i, :])).dot(Q.to_numpy().T)
+        C_gt = Q_gt.to_numpy().dot(np.mean(X, axis=0).iloc[i] * np.diag(psi_gt.to_numpy()[i, :])).dot(Q_gt.to_numpy().T)
         pd.testing.assert_frame_equal(pd.DataFrame(C), pd.DataFrame(C_gt), rtol=1e-10, check_exact=False)