4 лаба начало
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lab_3/Lab3.ipynb
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lab_3/Lab3.ipynb
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lab_4/Lab4.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Начало лабораторной работы**"
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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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"metadata": {},
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"outputs": [
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{
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"ename": "KeyboardInterrupt",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[2], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mticker\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mticker\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mseaborn\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01msns\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;66;03m# Подключим датафрейм и выгрузим данные\u001b[39;00m\n\u001b[0;32m 7\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.//static//csv//kc_house_data.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
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"File \u001b[1;32md:\\MII\\AIM-PIbd-32-Kaznacheeva-E-K\\aimenv\\Lib\\site-packages\\seaborn\\__init__.py:5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa: F401,F403\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpalettes\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa: F401,F403\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mrelational\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa: F401,F403\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mregression\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa: F401,F403\u001b[39;00m\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcategorical\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa: F401,F403\u001b[39;00m\n",
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"File \u001b[1;32md:\\MII\\AIM-PIbd-32-Kaznacheeva-E-K\\aimenv\\Lib\\site-packages\\seaborn\\relational.py:21\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[0;32m 14\u001b[0m adjust_legend_subtitles,\n\u001b[0;32m 15\u001b[0m _default_color,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 18\u001b[0m _scatter_legend_artist,\n\u001b[0;32m 19\u001b[0m )\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_compat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m groupby_apply_include_groups\n\u001b[1;32m---> 21\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_statistics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m EstimateAggregator, WeightedAggregator\n\u001b[0;32m 22\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maxisgrid\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FacetGrid, _facet_docs\n\u001b[0;32m 23\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_docstrings\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DocstringComponents, _core_docs\n",
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"File \u001b[1;32md:\\MII\\AIM-PIbd-32-Kaznacheeva-E-K\\aimenv\\Lib\\site-packages\\seaborn\\_statistics.py:32\u001b[0m\n\u001b[0;32m 30\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 32\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mstats\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m gaussian_kde\n\u001b[0;32m 33\u001b[0m _no_scipy \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m 34\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m:\n",
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"File \u001b[1;32md:\\MII\\AIM-PIbd-32-Kaznacheeva-E-K\\aimenv\\Lib\\site-packages\\scipy\\__init__.py:99\u001b[0m\n\u001b[0;32m 94\u001b[0m \u001b[38;5;66;03m# This is the first import of an extension module within SciPy. If there's\u001b[39;00m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;66;03m# a general issue with the install, such that extension modules are missing\u001b[39;00m\n\u001b[0;32m 96\u001b[0m \u001b[38;5;66;03m# or cannot be imported, this is where we'll get a failure - so give an\u001b[39;00m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;66;03m# informative error message.\u001b[39;00m\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 99\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_lib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_ccallback\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LowLevelCallable\n\u001b[0;32m 100\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 101\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe `scipy` install you are using seems to be broken, \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \\\n\u001b[0;32m 102\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(extension modules cannot be imported), \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \\\n\u001b[0;32m 103\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplease try reinstalling.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n",
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"File \u001b[1;32md:\\MII\\AIM-PIbd-32-Kaznacheeva-E-K\\aimenv\\Lib\\site-packages\\scipy\\_lib\\_ccallback.py:1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m _ccallback_c\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mctypes\u001b[39;00m\n\u001b[0;32m 5\u001b[0m PyCFuncPtr \u001b[38;5;241m=\u001b[39m ctypes\u001b[38;5;241m.\u001b[39mCFUNCTYPE(ctypes\u001b[38;5;241m.\u001b[39mc_void_p)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__bases__\u001b[39m[\u001b[38;5;241m0\u001b[39m]\n",
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"File \u001b[1;32m<frozen importlib._bootstrap>:645\u001b[0m, in \u001b[0;36mparent\u001b[1;34m(self)\u001b[0m\n",
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"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.ticker as ticker\n",
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"import seaborn as sns\n",
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"\n",
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"# Подключим датафрейм и выгрузим данные\n",
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"df = pd.read_csv(\".//static//csv//ds_salaries.csv\")\n",
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"print(df.columns)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "aimenv",
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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": "3.12.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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