Python多股票同周期可视化-优快云博客

import warnings
warnings.filterwarnings("ignore")

import numpy as np
import pandas as pd


import tushare as ts
from datetime import datetime, timedelta

today = datetime.now().strftime('%Y-%m-%d')
before = (datetime.now() - timedelta(days = 240)).strftime('%Y-%m-%d') #120自然日，大概80个交易日

tsla_df = ts.get_k_data("000063", start = before, end = today)  #获取行情数据，格式： pandas.core.frame.DataFrame
goog_df = ts.get_k_data("600036", start = before, end = today)
appl_df = ts.get_k_data("000001", start = before, end = today)

def plot_two_stock(tsla, goog, appl, axs=None):
    # 如果有传递子画布，使用子画布，否则plt
    drawer = plt if axs is None else axs
    drawer.plot(tsla, c='r')
    drawer.plot(goog, c='g')
    drawer.plot(appl, c='b')
    drawer.grid(True)   # 显示网格
    drawer.legend(['tsla', 'google','apple'], loc='best')   # 图例标注


plot_two_stock(tsla_df.close, goog_df.close, appl_df.close)
plt.title('TSLA and Google CLOSE')
plt.xlabel('time')  # x轴时间
plt.ylabel('close') # y轴收盘价格