Solution to How to find rows of A that contain elements of each row of B

100 Numpy exercises.ipynb

@@ -2127,7 +2127,7 @@
     "B = np.random.randint(0,5,(2,2))\n",
     "\n",
     "C = (A[..., np.newaxis, np.newaxis] == B)\n",
-    "rows = (C.sum(axis=(1,2,3)) >= B.shape[1]).nonzero()[0]\n",
+    "rows = np.where(C.any((3,1)).all(1))[0]\n",
     "print(rows)"
    ]
   },

100 Numpy exercises.md

@@ -1097,7 +1097,7 @@ A = np.random.randint(0,5,(8,3))
 B = np.random.randint(0,5,(2,2))
 
 C = (A[..., np.newaxis, np.newaxis] == B)
-rows = (C.sum(axis=(1,2,3)) >= B.shape[1]).nonzero()[0]
+rows = np.where(C.any((3,1)).all(1))[0]
 print(rows)
 ```