generalizing the solution to the 'extract rows with unequal values' exercise

100 Numpy exercises.ipynb

@@ -2149,9 +2149,7 @@
     "# Author: Robert Kern\n",
     "\n",
     "Z = np.random.randint(0,5,(10,3))\n",
-    "E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)\n",
-    "U = Z[~E]\n",
-    "print(Z)\n",
+    "U = Z[Z.max(axis=1) != Z.min(axis=1),:]\n",
     "print(U)"
    ]
   },

100 Numpy exercises.md

@@ -1108,9 +1108,7 @@ print(rows)
 # Author: Robert Kern
 
 Z = np.random.randint(0,5,(10,3))
-E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)
-U = Z[~E]
-print(Z)
+U = Z[Z.max(axis=1) != Z.min(axis=1),:]
 print(U)
 ```