stock = stock[['open','close','high','low']] # 设置图形大小 fig, ax = plt.subplots(figsize=(10, 6)) # 绘制核密度曲线图 sns.kdeplot(data=stock, ax=ax, fill='coolwarm', shade=True) plt.xlabel('Price') # 设置y轴标签 plt.ylabel('Frequency') # 设置图标题 plt.title('Stock Pri...
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析开源库,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(backtest)四个模块。其中数据模块(data)数据来源于东方财富网、同花顺、新浪财经等网上公开数据。qstock致力于为用户提供更加简洁和规整化的金融市场数据接口,其中可视化模块为用户...
stock_price_B = np.random.rand(10) *8+45# 随机生成股票B的价格 # 构建subplots fig, axs = plt.subplots(2,1, figsize=(10,8)) # 绘制第一个图形区域 axs[0].plot(days, stock_price_A, label='Stock A', marker='o', color='blue') axs[0].set_...
参照该教程练习python数据分析,使用tuShare获取股票k线数据,返回DateFrame对象。取收盘价的Series调用plot函数,绘制的折线图x轴为index,不为日期 import tushare as ts gg = ts.get_k_data(stock,start=start,end=end) 使用DataFrame的plot方法,无法显示时间 date列为字符串格式数据,转为时间格式 gg['new_date']...
def plot_stock_data(df, date_column='date', stock_value_column='stock_value', title='Stock Value Over Time'): """ Plots stock value over time from a CSV file. Args: - file_path (str): Path to the CSV file. - date_column (str): The name of the date column in the CSV file...
First we import the data and look at it. importpandasaspddf=pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_apple_stock.csv')df.head() AAPL_xAAPL_y 02014-01-0277.445395 12014-01-0377.045575 22014-01-0674.896972 ...
pipinstallmatplotlib # check out the doc from site 1. 2. importpandas as pdimportmatplotlib.pyplot as pltfromnumpyimportmeandefload_df(symbol):returnpd.read_csv("data/{0}.csv".format(symbol))defget_max_close(symbol):"""Return the maximum closing value for stock idicicated by symbol. ...
pip install python-highcharts python-highcharts简介 python-highcharts主要有三个工具: highcharts, highmaps, highstocks。 highcharts 使开发人员可以轻松创建响应式、交互式和可访问的图表。 highmaps 专注交互地图图表。 highstocks 创建时间轴、股票走势图表。 python-highcharts使用 使用方法类似之前介绍的PyE...
{\datatable}; \addlegendentry{Y1数据} \begin{axis}[ axis y line*=right, axis x line=none, ymin=0, ymax=35, ylabel=右侧Y轴标签, legend style={at={(0.5,-0.15)},anchor=north,legend columns=-1}, ] \addplot table[x=X,y=Y2] {\datatable}; \addlegendentry{Y2数据} \end{axis...
df = pdr.get_data_yahoo(ticker, start = sdate) Here, ticker, sdate and df are the variables. The ticker, as you can see currently consists of AMD ticker sdate variable is the start date to get the stock data df is the variable of type datagrame which uses the panadas data reader...