1228 lines
222 KiB
Plaintext
1228 lines
222 KiB
Plaintext
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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\n",
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"Выгрузка данных из csv файла в датафрейм"
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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": 1,
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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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"Index(['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')\n"
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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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"df = pd.read_csv(\".//static//csv//Stocks.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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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Диаграмма числа продаж акций за год за весь период времени\n",
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"Данная диаграмма отображает зависимость обьема продаж от окончательных цен акций за каждый период что позволяет сделать вывод о том, что при низкой цене акций на них растет спрос. Однако если объемы растут, а цены - нет, то, возможно, это может свидетельствовать о нежелании инвесторов поддерживать высокую стоимость акций."
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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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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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|
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"text/plain": [
|
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|
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"<Figure size 1200x500 with 2 Axes>"
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]
|
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|
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},
|
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|
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"metadata": {},
|
|||
|
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"output_type": "display_data"
|
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|
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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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"\n",
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|
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"# Читаем данные из CSV файла\n",
|
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|
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"df = pd.read_csv(\".//static//csv//Stocks.csv\")\n",
|
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"\n",
|
|||
|
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"# Преобразуем колонку 'Date' в формат datetime\n",
|
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"df['Date'] = pd.to_datetime(df['Date'])\n",
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"\n",
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|
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"# Добавляем колонку с годом\n",
|
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|
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"df['Year'] = df['Date'].dt.year\n",
|
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"\n",
|
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|
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"# Группируем данные по годам и суммируем объемы и цены закрытия\n",
|
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|
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"annual_data = df.groupby('Year').agg({'Volume': 'sum', 'Close': 'mean'}).reset_index()\n",
|
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"\n",
|
|||
|
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"# Создаем график\n",
|
|||
|
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"fig, ax1 = plt.subplots(figsize=(12, 5))\n",
|
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"\n",
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"# Строим гистограмму объемов\n",
|
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"ax1.bar(annual_data['Year'], annual_data['Volume'], color='b', alpha=0.6, label='Объемы продаж')\n",
|
|||
|
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"ax1.set_ylabel('Объем продаж', color='b')\n",
|
|||
|
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"ax1.tick_params(axis='y', labelcolor='b')\n",
|
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|
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"\n",
|
|||
|
|
"# Создаем вторую ось для отображения цены закрытия\n",
|
|||
|
|
"ax2 = ax1.twinx()\n",
|
|||
|
|
"ax2.plot(annual_data['Year'], annual_data['Close'], color='r', marker='o', label='Цена закрытия')\n",
|
|||
|
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"ax2.set_ylabel('Цена закрытия', color='r')\n",
|
|||
|
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"ax2.tick_params(axis='y', labelcolor='r')\n",
|
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"\n",
|
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|
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"# Добавляем заголовок и легенды\n",
|
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"plt.title('Гистограмма объемов и цена закрытия акций Yamana Gold Inc. по годам')\n",
|
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"ax1.legend(loc='upper left')\n",
|
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|
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"ax2.legend(loc='upper right')\n",
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"\n",
|
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|
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"# Отображаем график\n",
|
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|
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"plt.show()"
|
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|
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]
|
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|
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},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"#### График визуализаций цен акций Yamana Gold Inc. \n",
|
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"Данный график отображает годовые цены акций, т.е. стоимость открытия, стоимость закрытия, максимум и минимум, что позволяет сделать вывод о тенденциях - если свеча красная - то цена открытия больше цены закрытия(т.е. стоимость акции в тот год преимущественно падала), иначе - если зеленая - то цена закрытия больше цены открытия(т.е. стоимотсь акции в тот год преимущественно росла)"
|
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|
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]
|
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|
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},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"application/vnd.plotly.v1+json": {
|
|||
|
|
"config": {
|
|||
|
|
"plotlyServerURL": "https://plot.ly"
|
|||
|
|
},
|
|||
|
|
"data": [
|
|||
|
|
{
|
|||
|
|
"close": [
|
|||
|
|
1.714286,
|
|||
|
|
2.571429,
|
|||
|
|
2.42,
|
|||
|
|
3.02,
|
|||
|
|
6.61,
|
|||
|
|
13.18,
|
|||
|
|
12.94,
|
|||
|
|
7.72,
|
|||
|
|
11.38,
|
|||
|
|
12.8,
|
|||
|
|
14.69,
|
|||
|
|
17.209999,
|
|||
|
|
8.62,
|
|||
|
|
4.02,
|
|||
|
|
1.86,
|
|||
|
|
2.81,
|
|||
|
|
3.12,
|
|||
|
|
2.36,
|
|||
|
|
3.95,
|
|||
|
|
5.71,
|
|||
|
|
4.22,
|
|||
|
|
5.44
|
|||
|
|
],
|
|||
|
|
"decreasing": {
|
|||
|
|
"line": {
|
|||
|
|
"color": "red"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"high": [
|
|||
|
|
3.714286,
|
|||
|
|
4.857143,
|
|||
|
|
4,
|
|||
|
|
3.49,
|
|||
|
|
6.76,
|
|||
|
|
13.81,
|
|||
|
|
15.88,
|
|||
|
|
19.93,
|
|||
|
|
14.37,
|
|||
|
|
13.13,
|
|||
|
|
17.469999,
|
|||
|
|
20.59,
|
|||
|
|
18.23,
|
|||
|
|
10.72,
|
|||
|
|
4.84,
|
|||
|
|
5.99,
|
|||
|
|
3.65,
|
|||
|
|
3.8,
|
|||
|
|
4.03,
|
|||
|
|
7.02,
|
|||
|
|
6.16,
|
|||
|
|
6.4
|
|||
|
|
],
|
|||
|
|
"increasing": {
|
|||
|
|
"line": {
|
|||
|
|
"color": "green"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"low": [
|
|||
|
|
1.142857,
|
|||
|
|
1.142857,
|
|||
|
|
1.142857,
|
|||
|
|
1.65,
|
|||
|
|
2.67,
|
|||
|
|
6.6,
|
|||
|
|
8.4,
|
|||
|
|
3.31,
|
|||
|
|
5.8,
|
|||
|
|
9.16,
|
|||
|
|
10.88,
|
|||
|
|
12.68,
|
|||
|
|
8.31,
|
|||
|
|
3.45,
|
|||
|
|
1.42,
|
|||
|
|
1.38,
|
|||
|
|
2.21,
|
|||
|
|
2,
|
|||
|
|
1.78,
|
|||
|
|
2.23,
|
|||
|
|
3.7,
|
|||
|
|
3.84
|
|||
|
|
],
|
|||
|
|
"name": "Candlestick",
|
|||
|
|
"open": [
|
|||
|
|
3.428571,
|
|||
|
|
1.714286,
|
|||
|
|
2.571429,
|
|||
|
|
2.42,
|
|||
|
|
2.83,
|
|||
|
|
6.81,
|
|||
|
|
13.17,
|
|||
|
|
13.21,
|
|||
|
|
7.67,
|
|||
|
|
11.85,
|
|||
|
|
12.82,
|
|||
|
|
15.13,
|
|||
|
|
17.59,
|
|||
|
|
8.82,
|
|||
|
|
3.94,
|
|||
|
|
1.92,
|
|||
|
|
2.84,
|
|||
|
|
3.17,
|
|||
|
|
2.37,
|
|||
|
|
4.01,
|
|||
|
|
5.94,
|
|||
|
|
4.16
|
|||
|
|
],
|
|||
|
|
"type": "candlestick",
|
|||
|
|
"x": [
|
|||
|
|
"2001-12-31T00:00:00",
|
|||
|
|
"2002-12-31T00:00:00",
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"2003-12-31T00:00:00",
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"2004-12-31T00:00:00",
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"2005-12-31T00:00:00",
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"2006-12-31T00:00:00",
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"2007-12-31T00:00:00",
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"2008-12-31T00:00:00",
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"2009-12-31T00:00:00",
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"2010-12-31T00:00:00",
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"2011-12-31T00:00:00",
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"2012-12-31T00:00:00",
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"2014-12-31T00:00:00",
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"2016-12-31T00:00:00",
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"text": "Свечной график акций Yamana Gold Inc. за каждый год",
|
|||
|
|
"x": 0.5
|
|||
|
|
},
|
|||
|
|
"xaxis": {
|
|||
|
|
"gridcolor": "LightGray",
|
|||
|
|
"rangeslider": {
|
|||
|
|
"visible": false
|
|||
|
|
},
|
|||
|
|
"showgrid": true,
|
|||
|
|
"title": {
|
|||
|
|
"text": "Год"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"yaxis": {
|
|||
|
|
"gridcolor": "LightGray",
|
|||
|
|
"showgrid": true,
|
|||
|
|
"title": {
|
|||
|
|
"text": "Цена ($)"
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"import plotly.graph_objects as go\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Считываем данные\n",
|
|||
|
|
"df = pd.read_csv(\".//static//csv//Stocks.csv\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Преобразуем 'Date' в datetime формат\n",
|
|||
|
|
"df['Date'] = pd.to_datetime(df['Date'])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Устанавливаем 'Date' как индекс\n",
|
|||
|
|
"df.set_index('Date', inplace=True)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Ресемплируем данные по году\n",
|
|||
|
|
"df_yearly = df.resample('YE').agg({\n",
|
|||
|
|
" 'Open': 'first',\n",
|
|||
|
|
" 'High': 'max',\n",
|
|||
|
|
" 'Low': 'min',\n",
|
|||
|
|
" 'Close': 'last'\n",
|
|||
|
|
"})\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Создаем список дат для каждой свечи\n",
|
|||
|
|
"df_yearly['Date'] = df_yearly.index\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Создаем свечной график\n",
|
|||
|
|
"fig = go.Figure(data=[go.Candlestick(\n",
|
|||
|
|
" x=df_yearly['Date'],\n",
|
|||
|
|
" open=df_yearly['Open'],\n",
|
|||
|
|
" high=df_yearly['High'],\n",
|
|||
|
|
" low=df_yearly['Low'],\n",
|
|||
|
|
" close=df_yearly['Close'],\n",
|
|||
|
|
" name='Candlestick',\n",
|
|||
|
|
" increasing_line_color='green', # Увеличивающиеся свечи зелёные\n",
|
|||
|
|
" decreasing_line_color='red' # Уменьшающиеся свечи красные\n",
|
|||
|
|
")])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Обновляем метки и заголовок\n",
|
|||
|
|
"fig.update_layout(\n",
|
|||
|
|
" title='Свечной график акций Yamana Gold Inc. за каждый год',\n",
|
|||
|
|
" title_x=0.5, # Центруем заголовок\n",
|
|||
|
|
" xaxis_title='Год',\n",
|
|||
|
|
" yaxis_title='Цена ($)',\n",
|
|||
|
|
" xaxis_rangeslider_visible=False,\n",
|
|||
|
|
" plot_bgcolor='rgba(240, 240, 240, 0.95)', # Цвет фона графика\n",
|
|||
|
|
" xaxis=dict(showgrid=True, gridcolor='LightGray'), # Сетка по оси X\n",
|
|||
|
|
" yaxis=dict(showgrid=True, gridcolor='LightGray') # Сетка по оси Y\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Показываем график\n",
|
|||
|
|
"fig.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"#### График динамики объемов торгов акций Yamana Gold Inc. \n",
|
|||
|
|
"Данный график отображает динамику объемов торгов на акции компании, что позволяет сделать вывод о том, что на момент 2022 года объем продаж рос, следовательно у компании сейчас успешные времена, т.к. их акции пользуются популярностью"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 1400x700 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Считываем данные\n",
|
|||
|
|
"df = pd.read_csv(\".//static//csv//Stocks.csv\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Преобразуем колонку 'Date' в формат datetime\n",
|
|||
|
|
"df['Date'] = pd.to_datetime(df['Date'])\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Устанавливаем дату в качестве индекса\n",
|
|||
|
|
"df.set_index('Date', inplace=True)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Рассчитываем 12-месячную скользящую среднюю для объемов продаж\n",
|
|||
|
|
"df['Volume_SMA'] = df['Volume'].rolling(window=60).mean()\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Создаем график объемов продаж\n",
|
|||
|
|
"plt.figure(figsize=(14, 7))\n",
|
|||
|
|
"plt.plot(df.index, df['Volume'], label='Объем продаж', color='orange', alpha=0.5)\n",
|
|||
|
|
"plt.plot(df.index, df['Volume_SMA'], label='5-летняя скользящая средняя', color='blue', linewidth=2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Настройки графика\n",
|
|||
|
|
"plt.title('Динамика объемов продаж акций Yamana Gold Inc. с 5-летней скользящей средней')\n",
|
|||
|
|
"plt.xlabel('Дата')\n",
|
|||
|
|
"plt.ylabel('Объем продаж')\n",
|
|||
|
|
"plt.legend()\n",
|
|||
|
|
"plt.grid()\n",
|
|||
|
|
"plt.xticks(rotation=45) # Поворачиваем метки по оси X для удобства\n",
|
|||
|
|
"plt.tight_layout() # Подгоняем график\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Показать график\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
|
|||
|
|
}
|