问使用Matplotlib发布注释点

EN

import yfinance as yf
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from functools import reduce
from google.colab import files

sns.set()

directory = '/datasets/stocks/'
stocks = ['AAPL', 'MSFT', 'AMD', 'TWTR', 'TSLA']

#Download each stock's 6-month historical daily stock price and save to a .csv
df_list = list()
for ticker in stocks:
    data = yf.download(ticker, group_by="Ticker", period='6mo')
    df = pd.concat([data])
    csv = df.to_csv()
    with open(directory+ticker+'.csv', 'w') as f:
      f.write(csv)

#Get the .csv filename as well as the full path to each file
ori_name = []
for stock in stocks:
  ori_name.append(stock + '.csv')
stocks = [directory + s for s in ori_name]

dfs = [pd.read_csv(s)[['Date', 'Close']] for s in stocks]
data = reduce(lambda left,right: pd.merge(left,right,on='Date'), dfs).iloc[:, 1:]

returns = data.pct_change()
mean_daily_returns = returns.mean()
volatilities = returns.std()

combine = pd.DataFrame({'returns': mean_daily_returns * 252,
                       'volatility': volatilities * 252})

g = sns.jointplot("volatility", "returns", data=combine, kind="reg",height=7)

#Apply Annotations
for i in range(combine.shape[0]):
    name = ori_name[i].replace(',csv', '')
    x = combine.iloc[i, 1]
    y = combine.iloc[i, 0]
    print(name)
    print(x, y)
    print('\n')
    plt.annotate(name, xy=(x,y)) 
    
plt.show()

AAPL.csv
4.285630458382526 0.24836925418906455


MSFT.csv
3.3916453932738966 0.5159276490876817


AMD.csv
6.040090684498841 -0.002179408770566866


TWTR.csv
7.911518867192316 0.8556785016280568


TSLA.csv
9.154424353004579 -0.40596099327336554