Notebooks from applied-cs/data-science@ffced473

03-numpy-und-matplotlib/01-pixels-sol.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Pixels\n",
+    "\n",
+    "Erstellen Sie ein 3D-Array `img`, indem Sie anstatt jedem Element eines\n",
+    "2D-Arrays wieder eine Liste mit 3 Werten `[R, G, B]` schreiben. Beachten\n",
+    "Sie, dass die `[R, G, B]`-Werte die dritte Achse darstellen, also in die\n",
+    "Tiefe gehen. Verwenden Sie beispielsweise folgende Werte.\n",
+    "\n",
+    "<p><img\n",
+    "src=\"data:image/svg+xml;base64,<?xml version="1.0" encoding="UTF-8"?>
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\" /></p>"
+   ],
+   "id": "0002-ed24358d9bf975906b56ed5902887b37fb5d60d3a6a7c13a8b7564a8cea"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ],
+   "id": "0003-164ad572781bde01e4baeb2c7954cf56e6e2c2bbe7c843a35157e5df961"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Lösung\n",
+    "\n",
+    "Wir erstellen einen Vektor von 0, …, 20 und führen ein `reshape` auf\n",
+    "$7 imes 3$ durch um das geforderte Array zu erhalten."
+   ],
+   "id": "0005-c4e6fd0ad0df0c219104c8b27d0b0ff2de995d413925ac30f1c0383865b"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "img = np.array([[[200,   0,  30], [  0, 122, 122], [  0, 180, 122]],\n",
+    "                [[  0, 180, 222], [  0, 222, 222], [200,   0, 120]]])"
+   ],
+   "id": "0006-7a9eb15237d139ea1c4f694a834f054f7a90395d0a05fc45195ad64499e"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tests\n",
+    "\n",
+    "Die Shape sollte 2 Zeilen ྾ 3 Spalten ྾ 3 Farben sein:"
+   ],
+   "id": "0008-418c344b47f3062a837d03f7964f5a33dc80e0a2cbf8485635dc8c28efb"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "(2, 3, 3)"
+     ]
+    }
+   ],
+   "source": [
+    "img.shape"
+   ],
+   "id": "0009-a59ee236cec43885d0faa330b17afa026cbc1af11a505a30b71d1686d40"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Probieren Sie nun die Pixel als Bild zu zeigen:"
+   ],
+   "id": "0010-6cdb7f9704e695452f34503a5eabf8685f1685c2528eac3b064637ed071"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "plt.imshow(img)"
+   ],
+   "id": "0011-32210e81e701bef24cd8ba117fc3b264331102b21d030462e0e0cf60c94"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "und auch:"
+   ],
+   "id": "0012-e15e132b0007cc67ec2ccfe273a623ecda577eca58a9d784c81ff0c3ca9"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "plt.imshow(img.reshape((3, 2, 3)))"
+   ],
+   "id": "0013-6480941f3fcda35bb1f2a2dce8fddc87138c2ac0031e7e282a6739bbd8f"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}

03-numpy-und-matplotlib/02-ziehung-sol.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Ziehung\n",
+    "\n",
+    "Erstellen Sie eine Matrix `A` wie dargestellt (Tipp: `arange` und\n",
+    "`reshape`).\n",
+    "\n",
+    "| Zeile \\\\ Spalte |  0  |  1  |  2  |\n",
+    "|-----------------|:---:|:---:|:---:|\n",
+    "| 0               |  0  |  1  |  2  |\n",
+    "| 1               |  3  |  4  |  5  |\n",
+    "| 2               |  6  |  7  |  8  |\n",
+    "| 3               |  9  | 10  | 11  |\n",
+    "| 4               | 12  | 13  | 14  |\n",
+    "| 5               | 15  | 16  | 17  |\n",
+    "| 6               | 18  | 19  | 20  |\n",
+    "\n",
+    "Nun ist das Ziel aus jeder Zeile ein Element zufällig auszuwählen.\n",
+    "Erstellen Sie zwei Indizes `i`, `j` für die Zeilen bzw. Spalten, sodass\n",
+    "`A[i, j]` der gewünschte Vektor ist.\n",
+    "\n",
+    "## Lösung\n",
+    "\n",
+    "Wir erstellen einen Vektor von 0, …, 20 und führen ein `reshape` auf\n",
+    "$7 imes 3$ durch um das geforderte Array zu erhalten."
+   ],
+   "id": "0005-c49301c38b440d5f680bae1298919020ffdd23be9734d4417a0f951950c"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "rng = np.random.default_rng()\n",
+    "\n",
+    "A = np.arange(21).reshape((7, 3))"
+   ],
+   "id": "0006-3c437238c279b4d5d83cea255b3777e70d4207076b8a3637e9a32a715e2"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Anschließend wählen wir für `i` einfach einen Vektor 0, …, 6, weil wir\n",
+    "ja aus *jeder* Zeile ein Element ziehen wollen und für die Spalten\n",
+    "erzeugen wir einen Vektor mit 7 zufälligen Elementen zwischen 0 und 2,\n",
+    "entsprechend den Spaltenindizes. Dann kombiniert die komplexe\n",
+    "Indizierung `A[i, j]` die Indizes paarweise und wir erhalten die\n",
+    "gewünschten Elemente:"
+   ],
+   "id": "0007-327a66afac1eab2432a0480fcd7b10ef52d81e7143622cb4066439769e6"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [
+    "i = np.arange(A.shape[0]) # hier: [0 1 2 3 4 5 6]\n",
+    "j = rng.choice(A.shape[1], size=A.shape[0])"
+   ],
+   "id": "0008-4b94664435e9c237fcbbad2b5e67b9c4d05ebc8584b76d3fed083906ae7"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tests\n",
+    "\n",
+    "Wir geben die zufällig gewählten Elemente aus:"
+   ],
+   "id": "0010-6f9f7a194530ee6f13ab985ccd222beb82ad15bea8eb7d72b7614d2ad2a"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "[ 0  4  8  9 12 17 18]"
+     ]
+    }
+   ],
+   "source": [
+    "print(A[i, j])  # Ausgabe zufällig"
+   ],
+   "id": "0011-0178a0acabe8bd93bb9cf9c7c95b8ec1cf03ba7595d0b51deb5ab06a987"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Elemente müssen aufsteigend sein und die Differenz kann nicht größer\n",
+    "als 5 sein:"
+   ],
+   "id": "0012-186463924299dea0ec08c78350e54d4a94a4906f8f80aab3b60eeee4efb"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "array([ True,  True,  True,  True,  True,  True])"
+     ]
+    }
+   ],
+   "source": [
+    "sel = A[i, j]\n",
+    "diff = sel[1:] - sel[:-1]\n",
+    "(0 < diff) & (diff < 6)"
+   ],
+   "id": "0013-4ddd9b6771d97bf4d423827f9fee4c05bd072fb576877c0595a533d9564"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}

03-numpy-und-matplotlib/02-ziehung.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Ziehung\n",
+    "\n",
+    "Erstellen Sie eine Matrix `A` wie dargestellt (Tipp: `arange` und\n",
+    "`reshape`).\n",
+    "\n",
+    "| Zeile \\\\ Spalte |  0  |  1  |  2  |\n",
+    "|-----------------|:---:|:---:|:---:|\n",
+    "| 0               |  0  |  1  |  2  |\n",
+    "| 1               |  3  |  4  |  5  |\n",
+    "| 2               |  6  |  7  |  8  |\n",
+    "| 3               |  9  | 10  | 11  |\n",
+    "| 4               | 12  | 13  | 14  |\n",
+    "| 5               | 15  | 16  | 17  |\n",
+    "| 6               | 18  | 19  | 20  |\n",
+    "\n",
+    "Nun ist das Ziel aus jeder Zeile ein Element zufällig auszuwählen.\n",
+    "Erstellen Sie zwei Indizes `i`, `j` für die Zeilen bzw. Spalten, sodass\n",
+    "`A[i, j]` der gewünschte Vektor ist.\n",
+    "\n",
+    "Hier Ihr Code:"
+   ],
+   "id": "0004-a879d4223ad0e70ac0e928063da49e5817af4a9d500a1a253d5af16ff64"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "style": "python"
+   },
+   "outputs": [],
+   "source": [],
+   "id": "0005-44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tests\n",
+    "\n",
+    "Wir geben die zufällig gewählten Elemente aus:"
+   ],
+   "id": "0007-6f9f7a194530ee6f13ab985ccd222beb82ad15bea8eb7d72b7614d2ad2a"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "[ 0  4  8  9 12 17 18]"
+     ]
+    }
+   ],
+   "source": [
+    "print(A[i, j])  # Ausgabe zufällig"
+   ],
+   "id": "0008-0178a0acabe8bd93bb9cf9c7c95b8ec1cf03ba7595d0b51deb5ab06a987"
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Elemente müssen aufsteigend sein und die Differenz kann nicht größer\n",
+    "als 5 sein:"
+   ],
+   "id": "0009-186463924299dea0ec08c78350e54d4a94a4906f8f80aab3b60eeee4efb"
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "array([ True,  True,  True,  True,  True,  True])"
+     ]
+    }
+   ],
+   "source": [
+    "sel = A[i, j]\n",
+    "diff = sel[1:] - sel[:-1]\n",
+    "(0 < diff) & (diff < 6)"
+   ],
+   "id": "0010-4ddd9b6771d97bf4d423827f9fee4c05bd072fb576877c0595a533d9564"
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}

03-numpy-und-matplotlib/accidental-deaths-in-usa-monthly.csv

+"Month","Accidental deaths in USA: monthly, 1973 ? 1978"
+"1973-01",9007
+"1973-02",8106
+"1973-03",8928
+"1973-04",9137
+"1973-05",10017
+"1973-06",10826
+"1973-07",11317
+"1973-08",10744
+"1973-09",9713
+"1973-10",9938
+"1973-11",9161
+"1973-12",8927
+"1974-01",7750
+"1974-02",6981
+"1974-03",8038
+"1974-04",8422
+"1974-05",8714
+"1974-06",9512
+"1974-07",10120
+"1974-08",9823
+"1974-09",8743
+"1974-10",9129
+"1974-11",8710
+"1974-12",8680
+"1975-01",8162
+"1975-02",7306
+"1975-03",8124
+"1975-04",7870
+"1975-05",9387
+"1975-06",9556
+"1975-07",10093
+"1975-08",9620
+"1975-09",8285
+"1975-10",8433
+"1975-11",8160
+"1975-12",8034
+"1976-01",7717
+"1976-02",7461
+"1976-03",7776
+"1976-04",7925
+"1976-05",8634
+"1976-06",8945
+"1976-07",10078
+"1976-08",9179
+"1976-09",8037
+"1976-10",8488
+"1976-11",7874
+"1976-12",8647
+"1977-01",7792
+"1977-02",6957
+"1977-03",7726
+"1977-04",8106
+"1977-05",8890
+"1977-06",9299
+"1977-07",10625
+"1977-08",9302
+"1977-09",8314
+"1977-10",8850
+"1977-11",8265
+"1977-12",8796
+"1978-01",7836
+"1978-02",6892
+"1978-03",7791
+"1978-04",8129
+"1978-05",9115
+"1978-06",9434
+"1978-07",10484
+"1978-08",9827
+"1978-09",9110
+"1978-10",9070
+"1978-11",8633
+"1978-12",9240
\ No newline at end of file