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@ShimanoN
Created February 5, 2023 07:48
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Scatter_Plot.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 32,
"id": "dc82a751-d881-4b44-96a7-de66fd702985",
"metadata": {},
"outputs": [],
"source": [
"import csv\n",
"import random\n",
"\n",
"# list to hold the data\n",
"data = [['Weight (kg)', 'Height (cm)']]\n",
"\n",
"# generate random weight and height values\n",
"for i in range(50):\n",
" height = round(random.uniform(140, 220), 2)\n",
" bmi = round(random.uniform(21, 23), 2)\n",
" weight = round(bmi * (height/100)**2, 2)\n",
" data.append([weight, height])\n",
"\n",
"# filename for the csv file\n",
"filename = 'weights_heights.csv'\n",
"\n",
"# write the data to the csv file\n",
"with open(filename, 'w', newline='') as file:\n",
" writer = csv.writer(file)\n",
" writer.writerows(data)\n"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "67aa32a6-a834-4f28-a645-e41e3f289ea7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import csv\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# list to hold the data\n",
"data = []\n",
"\n",
"# filename for the csv file\n",
"filename = 'weights_heights.csv'\n",
"\n",
"# read the data from the csv file\n",
"with open(filename, 'r') as file:\n",
" reader = csv.reader(file)\n",
" next(reader) # skip the header row\n",
" for row in reader:\n",
" weight = float(row[0])\n",
" height = float(row[1])\n",
" data.append([weight, height])\n",
"\n",
"# separate the data into weight and height lists\n",
"weights = [d[0] for d in data]\n",
"heights = [d[1] for d in data]\n",
"\n",
"# create the scatter plot\n",
"plt.scatter(weights, heights, color='red', marker='o', s=50, alpha=0.7, linewidths=1, edgecolors='black')\n",
"plt.xlim(40, 110)\n",
"plt.ylim(140, 220)\n",
"plt.xticks(range(40, 111, 10))\n",
"plt.yticks(range(140, 221, 20))\n",
"plt.xlabel('Weight (kg)')\n",
"plt.ylabel('Height (cm)')\n",
"plt.title('Relationship between Weight and Height')\n",
"plt.grid()\n",
"\n",
"# save the plot as a png image file\n",
"plt.savefig('weights_heights.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5ce2766d-62ff-4594-8be0-8aed644eab75",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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