Ejercicios Pandas

05-NumPy&Pandas.ipynb

@@ -1211,18 +1211,16 @@
     "        A = np.array(A, dtype=np.float64)\n",
     "        n = len(A)\n",
     "        Inver = np.eye(n, dtype=np.float64)\n",
-    "        #Factorizacion L por eliminación de Gauss\n",
+    "        #Método L por eliminación de Gauss, p es el pivote\n",
     "        for p in range(n-1):\n",
     "            if A[p,p] == 0: #Verifica que el pivote no sea cero\n",
-    "                print ()\n",
     "                sys.exit('La matriz es singular, por lo tanto NO INVERTIBLE')\n",
     "            A[p,:], Inver[p,:] = A[p,:] / A[p,p], Inver[p,:] / A[p,p]\n",
     "            for k in range(p+1,n):\n",
     "                A[k,:], Inver[k,:] = A[p,:] * A[k,p] - A[k,:], Inver[p,:] * A[k,p] - Inver[k,:]\n",
-    "        #factorizacion U por eliminación de Gauss\n",
+    "        #Método U por eliminación de Gauss\n",
     "        for p in reversed(range(1,n)):\n",
     "            if A[p,p] == 0: #Verifica que el pivote no sea cero\n",
-    "                print ()\n",
     "                sys.exit('La matriz es singular, por lo tanto NO INVERTIBLE')\n",
     "            A[p,:], Inver[p,:] = A[p,:] / A[p,p], Inver[p,:] / A[p,p]\n",
     "            for k in reversed(range(p)):\n",