Lugovtsov/solid-magnetic-gisteresis/plots.ipynb
2024-11-09 11:25:28 +03:00

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{
"cell_type": "code",
"execution_count": 2,
"id": "280f1e1b-c050-4f4a-b45b-b4d488b55d99",
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},
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"source": [
"# %load /home/glebi/git/experiment-automation/processing_tools.py\n",
"import numpy as np\n",
"from scipy.optimize import curve_fit\n",
"import pandas as pd\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
"import scienceplots\n",
"\n",
"plt.style.use(['science', 'russian-font'])\n",
"\n",
"mpl.rcParams.update({\n",
" 'figure.figsize': [6, 4],\n",
" 'savefig.facecolor': 'white',\n",
" 'figure.dpi': 150.0,\n",
" 'font.size': 12.0,\n",
"})"
]
},
{
"cell_type": "markdown",
"id": "bb054603-67f5-4418-8c09-e8e3210ffb17",
"metadata": {},
"source": [
"U_1 = 12V -- первые данные Lugovcov\n",
"\n",
"U = 25V -- остальные данные\n",
"\n",
"Формат:\n",
"t[us], U[V], U[V]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "01617d5c-6498-42db-bbe0-b24c0bf40ea8",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from random import random, randint, choice\n",
"def plot_data(filename):\n",
" t, x, y = np.loadtxt(f\"data//{filename}\", skiprows=1, delimiter=\",\").T\n",
" r = 1 / (2**.5)\n",
" a = 150 # Э/А\n",
" B = -x / r * a\n",
" H = y / r * a\n",
" with mpl.rc_context({\n",
" 'figure.figsize': [7, randint(3,5)],\n",
" 'font.size': randint(10, 16), \n",
" 'axes.grid' : random() > .5,\n",
" 'axes.facecolor': f\"'{1-random()*.07}'\",\n",
" 'axes.grid.axis': choice(['both']),\n",
" 'axes.grid.which': choice(['both', 'minor', 'major'])\n",
" }):\n",
" fig, ax = plt.subplots()\n",
" ax.plot(B, H, lw=random()*.3, color=f\"C{randint(0, 7)}\", linestyle=choice(['-', '--', ':']))\n",
" ax.set_xlabel(\"Величина поля B, Э\")\n",
" ax.set_ylabel(\"Величина поля H, Э\")\n",
" fig.savefig(f\"output//{filename.split('.')[0]}.png\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "2c5c0796-12f5-4433-a202-35ce633d9dfe",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"filenames = [\"Lugovcov.csv\", \"Kazikov.csv\", \"Smirnov.csv\", \"Zakharov.csv\"]\n",
"\n",
"for f in filenames:\n",
" plot_data(f)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fa22ed90-4ccd-4957-b3a6-a9c983141716",
"metadata": {},
"outputs": [],
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}
],
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"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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"name": "python",
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