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bungernut/diskchart.ipynb

Last active September 13, 2023 15:57
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diskchart.ipynb
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diskchart.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyNCe/pruqJCdEh1vt65VYon",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/bungernut/ef0161390b061bfb23d829ad05f93d80/diskchart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KHhfZvT-QvpA",
"outputId": "214931bb-e3aa-429f-9be1-806a2f926b70"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2023-09-13 15:57:22-- https://raw.githubusercontent.com/schwadan001/disc-chart/master/docs/discs.csv\n",
"Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.111.133, ...\n",
"Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 139810 (137K) [text/plain]\n",
"Saving to: ‘discs.csv.1’\n",
"\n",
"\rdiscs.csv.1 0%[ ] 0 --.-KB/s \rdiscs.csv.1 100%[===================>] 136.53K --.-KB/s in 0.07s \n",
"\n",
"2023-09-13 15:57:22 (1.86 MB/s) - ‘discs.csv.1’ saved [139810/139810]\n",
"\n"
]
}
],
"source": [
"# Welcome to jupyter-notebooks.\n",
"# SHIFT+Enter runs a cell, or the little play button on the left of each cell\n",
"# Run each cell sequentially after making any edits if necessary\n",
"import csv\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"!wget https://raw.githubusercontent.com/schwadan001/disc-chart/master/docs/discs.csv\n",
"dbfile = open(\"discs.csv\", \"r\")\n",
"\n",
"db = list(csv.reader(dbfile,delimiter=','))\n",
"dbfile.close()"
]
},
{
"cell_type": "code",
"source": [
"# Disk names can be found in the csv file we downloaded. If oyu click the folder icon on the left after\n",
"# running the cell above you can open the csv file and use the search function to find disks by name or other\n",
"# characteristics.\n",
"mydiscsnames = ['Roadrunner','Ballista Pro','Insanity','Felon','Warden','Watt','EMac Truth','Destroyer','Crave','Pig','Katana']\n",
"adddiscs = ['Wraith','Truth'] # plots these as stars"
],
"metadata": {
"id": "xBDv0xg-RwIK"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# This looks up discs in the data file (DONT CHANGE)\n",
"mybag = []\n",
"for discname in mydiscsnames:\n",
" for d in db:\n",
" if d[1] == discname:\n",
" mybag.append(d)\n",
" break\n",
"addbag = []\n",
"for discname in adddiscs:\n",
" for d in db:\n",
" if d[1] == discname:\n",
" addbag.append(d)\n",
" break"
],
"metadata": {
"id": "O5u5OmR5StWI"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# This makes the plot\n",
"for d in mybag:\n",
" plt.plot(float(d[4]),float(d[2]),'o')\n",
" plt.annotate(d[1],xy=(float(d[4]),float(d[2])))\n",
"for d in addbag:\n",
" plt.plot(float(d[4]),float(d[2]),'*',ms=15)\n",
" plt.annotate(d[1],xy=(float(d[4]),float(d[2])))\n",
"plt.ylabel(\"Speed\")\n",
"plt.xlabel('Turn')\n",
"plt.xlim(-4.5,1.5)\n",
"plt.title(\"My Discs\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 489
},
"id": "stGbFVpoUWMH",
"outputId": "09611d5a-7992-4832-9f59-9b4839236f29"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Text(0.5, 1.0, 'My Discs')"
]
},
"metadata": {},
"execution_count": 5
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "LQEi1rsSUYpG"
},
"execution_count": null,
"outputs": []
}
]
}
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