mirror of
https://github.com/galera951/experiment-automation.git
synced 2024-09-20 00:42:52 +03:00
97 lines
56 KiB
Plaintext
97 lines
56 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": 1,
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"id": "d77ea758-4368-4ffc-86c7-2980c84ceaa9",
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import pandas as pd\n",
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"import numpy as np"
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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": 2,
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"id": "805a285a-8aaf-4e25-8c23-4503c8cca594",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv(\"data.txt\")\n",
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"U = df['U']\n",
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"I = df['I']"
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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": 15,
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"id": "e0b87229-443c-4642-b053-7ce974af2817",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\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 2000x1200 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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"plt.figure(figsize=(10, 6), dpi=200)\n",
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"\n",
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"plt.errorbar(I*6/155, 10*U, xerr=6/155, yerr=10*0.003*U, linestyle='', marker='.')\n",
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"\n",
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"plt.title(\"ВАХ разряда\", fontsize=20)\n",
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"plt.xlabel(\"Сила тока, мА\")\n",
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"plt.ylabel(\"Напряжение, В\")\n",
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"\n",
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"plt.legend()\n",
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"plt.show()"
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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": "6977fb87-0791-4d49-840d-fd714b5b5d3d",
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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": "3.10.2"
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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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