手里有一点点公司的股票, 拿不准在什么时机抛售, 程序员也没时间天天盯着看,不如动手写个小程序, 把股票趋势每天早上发到邮箱里,用 python 的 pandas, matplotlib 写起来很容易, 几十行代码搞定。
准备环境
python3 -m venv venv
source ./venv/bin/activate
pip install pandas
pip install pandas_datareader
pip install matplotlib
代码如下
绘制 2019 年到今天2019-02-15 的我司 ( Cisco ) 的股票趋势 ( open:开盘价, close: 收盘价, high 最高价:, low: 最低价,单位为美元)
$ vi stock.py
import matplotlib.pyplot as plt
import pandas as pd
pd.core.common.is_list_like = pd.api.types.is_list_like
import pandas_datareader.data as web
import matplotlib
import time
import matplotlib.pyplot as plt
import argparsedef drawStockTrend(inc, startDate, endDate, pngFile):fig = matplotlib.pyplot.gcf()fig.set_size_inches(18.5, 10.5)df = web.DataReader(name=inc, data_source='iex', start=startDate, end=endDate)print(df)plt.style.use('seaborn-whitegrid')plt.xticks(rotation=30)plt.plot(df.index, df['open'], label='open', marker='o', linestyle=':', linewidth=1, markersize=3, color='gray')plt.plot(df.index, df['high'], label='high', marker='o', linestyle=':', linewidth=1, markersize=3, color='green')plt.plot(df.index, df['low'], label='low', marker='o', linestyle=':', linewidth=1, markersize=3, color='blue')plt.plot(df.index, df['close'], label='close', marker='o', linestyle='-', linewidth=2, markersize=6, color='red')for x, y in zip(df.index, df['close']):plt.text(x, y + 0.3, '%.2f' % y, ha='center', va='bottom', color='red')plt.legend()plt.title("%s' stock trend" % company)plt.show(block=True)time.sleep(1)if(not pngFile):fig.savefig(pngFile)plt.close()if __name__ == "__main__":parser = argparse.ArgumentParser()parser.add_argument('-c', action='store', dest='company', help='specify company')parser.add_argument('-s', action='store', dest='start', help='specify start date')parser.add_argument('-e', action='store', dest='end', help='specify end date')parser.add_argument('-f', action='store', dest='file', help='specify the filename')args = parser.parse_args()company = 'CSCO'startDate = '2019-01-01'endDate = '2019-02-19'pngFile = Noneif(args.company):company = args.companyif (args.start):startDate = args.startif (args.end):endDate = args.endif (args.file):pngFile = args.filedrawStockTrend(company, startDate, endDate, pngFile)#example# python stock.py -c GOOGL -s 2019-01-01 -e 2019-02-19 -f google_stock_trend.png# python stock.py -c CSCO -s 2019-01-01 -e 2019-02-19 -f cisco_stock_trend.png# python stock.py -c SINA -s 2019-01-01 -e 2019-02-19 -f sina_stock_trend.png# python stock.py -c BIDU -s 2019-01-01 -e 2019-02-19 -f baidu_stock_trend.png# python stock.py -c NTES -s 2019-01-01 -e 2019-02-19 -f netease_stock_trend.png
运行命令如下
python stock.py -c CSCO -s 2019-01-01 -e 2019-02-19 -f cisco_stock_trend.png
图表如下
cisco
看来最近股价涨势不错。
再看看其他公司
python stock.py -c GOOGL -s 2019-01-01 -e 2019-02-19 -f google_stock_trend.png
google
- Baidu
python stock.py -c BIDU -s 2019-01-01 -e 2019-02-19 -f baidu_stock_trend.png
baidu
- Netease
python stock.py -c NTES -s 2019-01-01 -e 2019-02-19 -f netease_stock_trend.png
netease








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