81 lines
16 KiB
Plaintext
81 lines
16 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": 5,
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"id": "869ef02c",
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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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"1.29\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"k = [0.15, 0.45, 0.675, 0.9, 1.215]\n",
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"I = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"\n",
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"a, b = np.polyfit(I, k, deg = 1)\n",
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"\n",
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"klin = []\n",
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"for i in range(5):\n",
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" klin.append(a * I[i] + b)\n",
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"\n",
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"plt.grid()\n",
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"plt.scatter(I, k)\n",
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"plt.plot(I, klin)\n",
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"plt.xlabel('I, А')\n",
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"plt.ylabel('k, 10^-6 В/Тл')\n",
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"print(a)"
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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": null,
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"id": "3f137f1d",
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"metadata": {},
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"outputs": [],
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"source": []
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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": "3.9.12"
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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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