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Mario Chirinos Colunga
tap1012
Commits
eb776f13
Commit
eb776f13
authored
Mar 09, 2019
by
Aldo Eduardo Niebla Cruz
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Ejercicios realizados
parent
421c5bf6
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05-NumPy&Pandas.ipynb
05-NumPy&Pandas.ipynb
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05-NumPy&Pandas.ipynb
View file @
eb776f13
...
...
@@ -987,7 +987,7 @@
},
{
"cell_type": "code",
"execution_count":
15
,
"execution_count":
27
,
"metadata": {},
"outputs": [
{
...
...
@@ -999,63 +999,63 @@
" [ 0. 0. 2. -1. 2.]\n",
" [ 1. 1. 0. 2. -1.]\n",
" [ 2. 0. -1. 1. 1.]\n",
" [ 0.
0
. 0. 1. 8.]] \n",
" [ 0.
1
. 0. 1. 8.]] \n",
"\n",
"Intercambio renglon 1 por renglon 4 :\n",
" [[ 2. 0. -1. 1. 1.]\n",
" [ 0. 0. 2. -1. 2.]\n",
" [ 1. 1. 0. 2. -1.]\n",
" [ 0. 2. -3. 4. 5.]\n",
" [ 0.
0
. 0. 1. 8.]] \n",
" [ 0.
1
. 0. 1. 8.]] \n",
"\n",
"Elimino Columna 1 :\n",
" [[ 1. 0. -0.5 0.5 0.5]\n",
" [ 0. 0. -2. 1. -2. ]\n",
" [ 0. -1. -0.5 -1.5 1.5]\n",
" [ 0. -2. 3. -4. -5. ]\n",
" [ 0.
0
. -0. -1. -8. ]] \n",
" [ 0.
-1
. -0. -1. -8. ]] \n",
"\n",
"Intercambio renglon 2 por renglon 4 :\n",
" [[ 1. 0. -0.5 0.5 0.5]\n",
" [ 0. -2. 3. -4. -5. ]\n",
" [ 0. -1. -0.5 -1.5 1.5]\n",
" [ 0. 0. -2. 1. -2. ]\n",
" [ 0.
0
. -0. -1. -8. ]] \n",
" [ 0.
-1
. -0. -1. -8. ]] \n",
"\n",
"Elimino Columna 2 :\n",
" [[ 1. 0. -0.5 0.5 0.5]\n",
" [-0. 1. -1.5 2. 2.5]\n",
" [ 0. 0. 2. -0.5 -4. ]\n",
" [-0. 0. 2. -1. 2. ]\n",
" [
-0. 0. 0. 1. 8.
]] \n",
" [
0. 0. 1.5 -1. 5.5
]] \n",
"\n",
"Elimino Columna 3 :\n",
" [[ 1.
0. -0.5 0.5 0.5
]\n",
" [-0.
1. -1.5 2. 2.5
]\n",
" [ 0.
0. 1. -0.25 -2.
]\n",
" [ 0.
0. 0. 0.5 -6.
]\n",
" [ 0.
0. 0. -1. -8.
]] \n",
" [[ 1.
0. -0.5 0.5 0.5
]\n",
" [-0.
1. -1.5 2. 2.5
]\n",
" [ 0.
0. 1. -0.25 -2.
]\n",
" [ 0.
0. 0. 0.5 -6.
]\n",
" [ 0.
0. 0. 0.625 -8.5
]] \n",
"\n",
"Intercambio renglon 4 por renglon 5 :\n",
" [[ 1.
0. -0.5 0.5 0.5
]\n",
" [-0.
1. -1.5 2. 2.5
]\n",
" [ 0.
0. 1. -0.25 -2.
]\n",
" [ 0.
0. 0. -1. -8.
]\n",
" [ 0.
0. 0. 0.5 -6.
]] \n",
" [[ 1.
0. -0.5 0.5 0.5
]\n",
" [-0.
1. -1.5 2. 2.5
]\n",
" [ 0.
0. 1. -0.25 -2.
]\n",
" [ 0.
0. 0. 0.625 -8.5
]\n",
" [ 0.
0. 0. 0.5 -6.
]] \n",
"\n",
"Elimino Columna 4 :\n",
" [[
1. 0. -0.5 0.5
0.5 ]\n",
" [
-0. 1. -1.5 2.
2.5 ]\n",
" [
0. 0. 1. -0.25
-2. ]\n",
" [
-0. -0. -0. 1. 8.
]\n",
" [
-0. -0. -0. 0. 10.
]] \n",
" [[
1. 0. -0.5 0.5
0.5 ]\n",
" [
-0. 1. -1.5 2.
2.5 ]\n",
" [
0. 0. 1. -0.25
-2. ]\n",
" [
0. 0. 0. 1. -13.6
]\n",
" [
0. 0. 0. 0. -0.8
]] \n",
"\n",
"Elimino Columna 5 :\n",
" [[
1. 0. -0.5 0.5
0.5 ]\n",
" [
-0. 1. -1.5 2.
2.5 ]\n",
" [
0. 0. 1. -0.25
-2. ]\n",
" [
-0. -0. -0. 1. 8.
]\n",
" [
-0. -0. -0. 0.
1. ]] \n",
" [[
1. 0. -0.5 0.5
0.5 ]\n",
" [
-0. 1. -1.5 2.
2.5 ]\n",
" [
0. 0. 1. -0.25
-2. ]\n",
" [
0. 0. 0. 1. -13.6
]\n",
" [
-0. -0. -0. -0.
1. ]] \n",
"\n",
"Ahora hacia arriba:\n",
"Elimino Columna 5 :\n",
...
...
@@ -1063,49 +1063,49 @@
" [ 0. -1. 1.5 -2. 0. ]\n",
" [ 0. 0. -1. 0.25 0. ]\n",
" [ 0. 0. 0. -1. 0. ]\n",
" [-0. -0. -0.
0. 1. ]] \n",
" [-0. -0. -0.
-
0. 1. ]] \n",
"\n",
"Elimino Columna 4 :\n",
" [[ 1. 0. -0.5 0. 0. ]\n",
" [ 0. 1. -1.5 0. 0. ]\n",
" [-0. -0. 1. 0. -0. ]\n",
" [-0. -0. -0. 1. -0. ]\n",
" [-0. -0. -0.
0. 1. ]] \n",
" [-0. -0. -0.
-
0. 1. ]] \n",
"\n",
"Elimino Columna 3 :\n",
" [[-1. 0. 0. -0. 0.]\n",
" [ 0. -1. 0. -0. 0.]\n",
" [-0. -0. 1. 0. -0.]\n",
" [-0. -0. -0. 1. -0.]\n",
" [-0. -0. -0.
0. 1.]] \n",
" [-0. -0. -0.
-
0. 1.]] \n",
"\n",
"Elimino Columna 2 :\n",
" [[ 1. 0. -0. 0. -0.]\n",
" [-0. 1. -0. 0. -0.]\n",
" [-0. -0. 1. 0. -0.]\n",
" [-0. -0. -0. 1. -0.]\n",
" [-0. -0. -0.
0. 1.]] \n",
" [-0. -0. -0.
-
0. 1.]] \n",
"\n",
"Elimino Columna 1 :\n",
" [[ 1. 0. -0. 0. -0.]\n",
" [-0. 1. -0. 0. -0.]\n",
" [-0. -0. 1. 0. -0.]\n",
" [-0. -0. -0. 1. -0.]\n",
" [-0. -0. -0.
0. 1.]] \n",
" [-0. -0. -0.
-
0. 1.]] \n",
"\n",
"Mi Inversa=\n",
" [[
0.05 0.35 -0.1 0.55 -0.2
]\n",
" [
0.8 1.35 -0.6 0.3 -0.95
]\n",
" [
-0.25 0. 0.5 -0.25 0.25
]\n",
" [-
0.4 -0.8 0.8 -0.4 0.6
]\n",
" [
0.05 0.1 -0.1 0.05 0.05
]]\n",
" [[
3.25 5.75 -2.5 1.75 -4.
]\n",
" [
16. 27. -12. 6. -19.
]\n",
" [
-4.25 -6.75 3.5 -1.75 5.
]\n",
" [-
10. -17. 8. -4. 12.
]\n",
" [
-0.75 -1.25 0.5 -0.25 1.
]]\n",
"\n",
"np.linalg.inv=\n",
" [[
0.05 0.35 -0.1 0.55 -0.2
]\n",
" [
0.8 1.35 -0.6 0.3 -0.95
]\n",
" [
-0.25 0. 0.5 -0.25 0.25
]\n",
" [-
0.4 -0.8 0.8 -0.4 0.6
]\n",
" [
0.05 0.1 -0.1 0.05 0.05
]]\n"
" [[
3.25 5.75 -2.5 1.75 -4.
]\n",
" [
16. 27. -12. 6. -19.
]\n",
" [
-4.25 -6.75 3.5 -1.75 5.
]\n",
" [-
10. -17. 8. -4. 12.
]\n",
" [
-0.75 -1.25 0.5 -0.25 1.
]]\n"
]
}
],
...
...
@@ -1115,7 +1115,7 @@
" [0, 0, 2, -1, 2],\n",
" [1, 1, 0, 2, -1],\n",
" [2, 0, -1, 1, 1],\n",
" [0,
0
, 0, 1, 8]])\n",
" [0,
1
, 0, 1, 8]])\n",
"\n",
"print('Mi Inversa=\\n', Inversa(H))\n",
"print('\\nnp.linalg.inv=\\n', np.linalg.inv(H))"
...
...
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