schuetoliver/CDS104-Databases-and-Data-Processing
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DotNaos 2025-05-18 16:55:03 +02:00
parent 91e0ee5752
commit 0d847f19c7
4 changed files with 120 additions and 26 deletions
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36
code/online-part-1/Linear Algebra Assignment 3.ipynb
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@ -45,7 +45,9 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# Linienzug plotten\n", "# Linienzug plotten\n",
"# plt.plot(...)\n" "plt.figure()\n",
"plt.plot(n[0], n[1])\n",
"plt.show()\n"
] ]
}, },
{ {
@ -73,11 +75,14 @@
"source": [ "source": [
"# angle soll in Grad angegeben werden\n", "# angle soll in Grad angegeben werden\n",
"def rotation_matrix(angle):\n", "def rotation_matrix(angle):\n",
" pass\n", " theta = np.deg2rad(angle)\n",
" c = np.cos(theta)\n",
" s = np.sin(theta)\n",
" return np.array([[c, -s], [s, c]])\n",
"\n", "\n",
"# mögliche Tests\n", "# mögliche Tests\n",
"# assert(np.allclose(rotation_matrix(90).dot(np.array([1,0])), np.array([0,1])))\n", "assert np.allclose(rotation_matrix(90).dot(np.array([1,0])), np.array([0,1]))\n",
"# assert(np.allclose(rotation_matrix(-90).dot(np.array([1,0])), np.array([0,-1])))" "assert np.allclose(rotation_matrix(-90).dot(np.array([1,0])), np.array([0,-1]))\n"
] ]
}, },
{ {
@ -94,9 +99,11 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# n_rot soll die rotierten Punkte enthalten, n_rot.shape == n.shape\n", "# n_rot soll die rotierten Punkte enthalten, n_rot.shape == n.shape\n",
"n_rot = ...\n", "n_rot = rotation_matrix(60).dot(n)\n",
"\n", "\n",
"# und erneut plotten..." "plt.figure()\n",
"plt.plot(n_rot[0], n_rot[1])\n",
"plt.show()\n"
] ]
}, },
{ {
@ -123,10 +130,9 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"def scale_matrix(sx, sy):\n", "def scale_matrix(sx, sy):\n",
" pass\n", " return np.array([[sx, 0], [0, sy]])\n",
"\n", "\n",
"\n", "assert np.allclose(scale_matrix(2, 3).dot(np.array([1,1])), np.array([2,3]))\n"
"# todo test schreiben?"
] ]
}, },
{ {
@ -142,12 +148,12 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"# Punkte skalieren\n", "scaled = scale_matrix(2, 0.5).dot(n)\n",
"\n", "plt.figure()\n",
"\n", "plt.plot(n[0], n[1], label=\"original\")\n",
"\n", "plt.plot(scaled[0], scaled[1], label=\"scaled\")\n",
"# und plotten\n", "plt.legend()\n",
"\n" "plt.show()\n"
] ]
} }
], ],

102
code/online-part-1/Plots.ipynb
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8
code/online-part-1/Roboterfahrt Aufgabe 1.ipynb
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@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 1,
"id": "00d20df1", "id": "00d20df1",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -108,7 +108,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": null,
"id": "6ee1ca50", "id": "6ee1ca50",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -121,8 +121,8 @@
} }
], ],
"source": [ "source": [
"lenght = sum([np.linalg.norm(f) for f in fahrten])\n", "length = sum([np.linalg.norm(f) for f in fahrten])\n",
"print(\"Länge der Fahrt:\", lenght)" "print(\"Länge der Fahrt:\", length)"
] ]
}, },
{ {

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