242 lines
5.4 KiB
Plaintext
242 lines
5.4 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f536eab6-2776-4535-972a-3ece6be99b3a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Some configs that should not be shown!\n",
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"import warnings\n",
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"\n",
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"warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f6597a28-a4fc-46bb-a9b2-3cafbc944ef5",
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"metadata": {},
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"source": [
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"# Start here\n",
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"# First headline\n",
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"Some nice text!"
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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": 2,
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"id": "0c9dbddc-f5f5-4f58-a2e2-dfff0faf517f",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"[notice] A new release of pip available: 22.3 -> 22.3.1\n",
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"[notice] To update, run: python.exe -m pip install --upgrade pip\n",
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"\n",
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"[notice] A new release of pip available: 22.3 -> 22.3.1\n",
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"[notice] To update, run: python.exe -m pip install --upgrade pip\n"
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]
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}
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],
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"source": [
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"!pip install pandas==1.5.2 -q\n",
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"!pip install matplotlib==3.6.2 -q"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f41454c-0bf0-4e53-992b-34fb47bf7dd1",
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"metadata": {},
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"source": [
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"Import the classes necessary to run the software."
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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": 3,
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"id": "5c4c7d02-c06b-49c3-a6e6-9819e9eae44b",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2e5173f8-7c64-40f4-8fbe-e3bf28ad96a3",
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"metadata": {},
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"source": [
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"A bit of sample code!"
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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": 4,
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"id": "66ada60d-8a49-473b-bc38-a40999ba761a",
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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": "362880"
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},
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"execution_count": 4,
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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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"a = 1\n",
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"for i in range(1, 10):\n",
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" a *= i\n",
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"a"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3dbc2840-9793-4a92-802b-78d0b333e632",
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"metadata": {},
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"source": [
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"Acces a document by key."
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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": 5,
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"id": "5e5fd8c8-200f-4857-b63d-1172b842f11c",
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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": "{'test': 1, 'more content': 'some_more1', 'more content1': 'some_more2'}"
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},
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"execution_count": 5,
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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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"# get a document by key\n",
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"some_dict = {\"test\": 1, \"more content\": \"some_more1\", \"more content1\": \"some_more2\"}\n",
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"some_dict"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e818c095-e2d9-40c7-9234-ceddcb27cddb",
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"metadata": {},
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"source": [
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"Pandas Example!"
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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": 6,
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"id": "8eb6d0be-9fc0-4c89-ad18-801c0349d5cc",
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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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"\\begin{tabular}{lrll}\n",
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"\\toprule\n",
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"{} & test & more content & more content1 \\\\\n",
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"\\midrule\n",
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"0 & 1 & some\\_more1 & some\\_more2 \\\\\n",
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"1 & 1 & some\\_more1 & some\\_more2 \\\\\n",
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"2 & 1 & some\\_more1 & some\\_more2 \\\\\n",
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"3 & 1 & some\\_more1 & some\\_more2 \\\\\n",
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"4 & 1 & some\\_more1 & some\\_more2 \\\\\n",
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"\\bottomrule\n",
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"\\end{tabular}\n",
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"\n"
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]
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}
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],
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"source": [
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"df = pd.DataFrame([some_dict] * 10)\n",
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"print(df.head().to_latex())"
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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": 14,
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"id": "c1237c23-2ab4-4fa0-9895-0691c20827b6",
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"metadata": {},
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"outputs": [],
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"source": [
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"%%capture\n",
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"N = 400\n",
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"t = np.linspace(0, 2 * np.pi, N)\n",
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"r = 0.5 + np.cos(t)\n",
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"x, y = r * np.cos(t), r * np.sin(t)\n",
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"\n",
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"fig, ax = plt.subplots()\n",
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"ax.plot(x, y, \"k\")\n",
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"ax.set(aspect=1)\n",
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"plt.show()\n",
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"plt.savefig(\"diagramm.png\")"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# End here\n",
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"\n",
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"This should not be shown!"
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],
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"ename": "SyntaxError",
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"evalue": "invalid syntax (2007221166.py, line 3)",
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"output_type": "error",
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"traceback": [
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"\u001b[1;36m File \u001b[1;32m\"C:\\Users\\phhor\\AppData\\Local\\Temp\\ipykernel_2708\\2007221166.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[0m\n\u001b[1;33m This should not be shownm\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
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]
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}
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],
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"execution_count": 1
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"outputs": [],
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"source": [],
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"metadata": {
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"collapsed": false
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}
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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