158 lines
152 KiB
Plaintext
158 lines
152 KiB
Plaintext
|
{
|
|||
|
|
"cells": [
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"## Начало лабораторной работы\n",
|
|||
|
|
"\n",
|
|||
|
|
"Выгрузка данных из csv файла в датафрейм"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 2,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Index(['stock index', 'country', 'year', 'index price', 'log_indexprice',\n",
|
|||
|
|
" 'inflationrate', 'oil prices', 'exchange_rate', 'gdppercent',\n",
|
|||
|
|
" 'percapitaincome', 'unemploymentrate', 'manufacturingoutput',\n",
|
|||
|
|
" 'tradebalance', 'USTreasury'],\n",
|
|||
|
|
" dtype='object')\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"df = pd.read_csv(\"..//static//csv//lab.csv\")\n",
|
|||
|
|
"print(df.columns)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Данная диаграмма отображает рост ВВП США по годам, из чего можно сделать вывод, что экономика США за период с 1980 по 2020 годы ухудшалась."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"us_data = df.iloc[0:41]\n",
|
|||
|
|
"us_data.plot(kind='bar', x='year', y='gdppercent', color='skyblue')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Рост ВВП США по годам')\n",
|
|||
|
|
"plt.xlabel('Год')\n",
|
|||
|
|
"plt.ylabel('ВВП (%)')\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Данная диаграмма отображает инфляцию и цены на нефть, что позволяет сделать вывод о том, что при росте инфляции цены на нефть занижались для регулирования ситуации."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 20,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.plot(kind='scatter', x='inflationrate', y='oil prices', color='green')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Взаимосвязь инфляции и цены на нефть')\n",
|
|||
|
|
"plt.xlabel('Инфляция (%)')\n",
|
|||
|
|
"plt.ylabel('Цена на нефть')\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Данная диаграмма отображает рост ВВП и уровня безработицы в США в период с 1980 по 2020 годы, из чего можно сделать вывод о том, что при росте безработицы ВВП в США падал."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1000x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"us_data.plot(kind='line', x='year', y=['gdppercent', 'unemploymentrate'], figsize=(10, 6))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Соотношение уровня безработицы и ВВП США по годам')\n",
|
|||
|
|
"plt.xlabel('Год')\n",
|
|||
|
|
"plt.ylabel('Проценты')\n",
|
|||
|
|
"plt.legend(['Рост ВВП', 'Уровень безработицы'])\n",
|
|||
|
|
"plt.grid(True)\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "aimenv",
|
|||
|
|
"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": "3.12.5"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 2
|
|||
|
|
}
|