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@kobus-v-schoor
Created October 4, 2020 18:31
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from datetime import datetime\n",
"import matplotlib.pyplot as plt\n",
"import time # nie nodig nie, net vir die demo\n",
"import random # nie nodig nie, net vir die demo"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"readings = []\n",
"t = []\n",
"\n",
"start = datetime.now()\n",
"\n",
"while not t or t[-1] < 2: # maak hierdie 2 dan net 20\n",
" t.append((datetime.now() - start).total_seconds()) # stoor hoeveel sek dit al hardloop\n",
" readings.append(random.random())\n",
" time.sleep(0.1) # simulate die delay om van die serial af te lees"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fab45402e48>]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.plot(t, readings)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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