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calibration.ipynb: recap numpy
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‎calibration.ipynb

+170-75
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@@ -56,57 +56,29 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[0, 0],\n",
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" [1, 0],\n",
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" [2, 0],\n",
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" [3, 0],\n",
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" [4, 0],\n",
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" [6, 0],\n",
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" [0, 1],\n",
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" [1, 1],\n",
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" [2, 1],\n",
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" [3, 1],\n",
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" [4, 1],\n",
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" [5, 1],\n",
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" [6, 1],\n",
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" [0, 2],\n",
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" [1, 2],\n",
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" [2, 2],\n",
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" [3, 2],\n",
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" [4, 2],\n",
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" [5, 2],\n",
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" [6, 2],\n",
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" [0, 3],\n",
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" [1, 3],\n",
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" [2, 3],\n",
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" [3, 3],\n",
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" [6, 3],\n",
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" [0, 4],\n",
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" [2, 4],\n",
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" [3, 4],\n",
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" [4, 4],\n",
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" [5, 4],\n",
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" [6, 4],\n",
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" [0, 5],\n",
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" [1, 5],\n",
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" [2, 5],\n",
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" [3, 5],\n",
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" [4, 5],\n",
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" [5, 5],\n",
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" [6, 5]])"
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"array([[0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.],\n",
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" [0., 0., 0.]], dtype=float32)"
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]
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},
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"execution_count": 28,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -120,7 +92,136 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"X:\n",
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" [[0 1 2 3 4 5 6]\n",
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" [0 1 2 3 4 5 6]]\n",
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"Y:\n",
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" [[0 0 0 0 0 0 0]\n",
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" [1 1 1 1 1 1 1]]\n"
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]
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}
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],
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"source": [
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"# mgrid: multi-dimensional meshgrid\n",
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"# two 1D arrays -> two 2D arrays.\n",
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"\n",
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"x = np.arange(0,7)\n",
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"y = np.arange(0,2)\n",
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"\n",
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"X, Y = np.meshgrid(x, y)\n",
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"\n",
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"print(\"X:\\n\", X)\n",
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"print(\"Y:\\n\", Y)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"X:\n",
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" [[0 1 2 3 4 5 6]\n",
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" [0 1 2 3 4 5 6]]\n",
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"Y:\n",
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" [[0 0 0 0 0 0 0]\n",
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" [1 1 1 1 1 1 1]]\n"
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]
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}
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],
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"source": [
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"x = np.array([0, 1, 2, 3, 4, 5, 6])\n",
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"y = np.array([0, 1])\n",
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"\n",
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"X, Y = np.meshgrid(x, y)\n",
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"\n",
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"print(\"X:\\n\", X)\n",
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"print(\"Y:\\n\", Y)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"X:\n",
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" [[0 0]\n",
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" [1 1]\n",
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" [2 2]\n",
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" [3 3]\n",
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" [4 4]\n",
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" [5 5]\n",
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" [6 6]]\n",
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"Y:\n",
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" [[0 1]\n",
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" [0 1]\n",
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" [0 1]\n",
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" [0 1]\n",
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" [0 1]\n",
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" [0 1]\n",
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" [0 1]]\n"
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]
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}
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],
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"source": [
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"X, Y = np.mgrid[0:7,0:2]\n",
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"\n",
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"print(\"X:\\n\", X)\n",
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"print(\"Y:\\n\", Y)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[[0, 0],\n",
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" [1, 0],\n",
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" [2, 0],\n",
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" [3, 0],\n",
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" [4, 0],\n",
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" [5, 0],\n",
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" [6, 0]],\n",
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"\n",
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" [[0, 1],\n",
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" [1, 1],\n",
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" [2, 1],\n",
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" [3, 1],\n",
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" [4, 1],\n",
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" [5, 1],\n",
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" [6, 1]]])"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"np.mgrid[0:7,0:2].T # transpose; matching x, y"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
@@ -139,35 +240,29 @@
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" [3, 1],\n",
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" [4, 1],\n",
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" [5, 1],\n",
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" [6, 1],\n",
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" [0, 2],\n",
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" [1, 2],\n",
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" [2, 2],\n",
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" [3, 2],\n",
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" [4, 2],\n",
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" [5, 2],\n",
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" [6, 2],\n",
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" [0, 3],\n",
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" [1, 3],\n",
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" [2, 3],\n",
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" [3, 3],\n",
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" [4, 3],\n",
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" [5, 3],\n",
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" [6, 3],\n",
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" [0, 4],\n",
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" [1, 4],\n",
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" [2, 4],\n",
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" [3, 4],\n",
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" [4, 4],\n",
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" [5, 4],\n",
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" [6, 4],\n",
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" [0, 5],\n",
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" [1, 5],\n",
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" [2, 5],\n",
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" [3, 5],\n",
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" [4, 5],\n",
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" [5, 5],\n",
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" [6, 5]])"
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" [6, 1]])"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"np.mgrid[0:7,0:2].T.reshape(-1,2) # -1 : calculated with remaining col and dimension \n",
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"# 2: col"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0],\n",
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" [0, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1]])"
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]
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},
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"execution_count": 29,
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}
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],
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"source": [
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"np.mgrid[0:7,0:6].T.reshape(-1,2)"
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"np.mgrid[0:7,0:2].T.reshape(-1, 14) "
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]
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},
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{

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