Make a extension which show highest and lowest price of shares with date
import pandas as pd import datetime from datetime import datetime import matplotlib.pyplot as plt def filter_by_date(data,year,month,day): data_filtered = data[data['Date'] > datetime(year,month,day)] return data_filtered def add_closing_price(data): data.loc[:,'Closing Price'] = data.loc[:,'Close'].shift(-1) return data def add_daily_return(data): data.loc[:,'Daily Return'] = (data.loc[:,'Closing Price'] - data.loc[:,'Close']) / data.loc[:,'Close'] return data def add_moving_average(data,window): data.loc[:,'Moving Average'] = data.loc[:,'Close'].rolling(window).mean() return data def add_daily_moving_average(data): data = add_moving_average(data,5) data =