我正在努力在循环中更改数据库的名称(第47-49行)。该程序正在做什么 - 它提示用户进入一个国家并自动从Quandl数据库下载股票指数的数据。但是,一旦我这样做,我想调用数据框,如" data_country"。请告诉我这个问题。
enter code here
import quandl #To extract the data from Quandl website
from quandl.errors.quandl_error import NotFoundError #for error handling
from datetime import date, timedelta # to define the date and time, while "timedelta" - for 1 month back
import matplotlib.pyplot as plt #Plotting library
import pandas as pd #Time series working library
from scipy import interpolate #Scipy library for interpolation
import numpy as np
from scipy.optimize import leastsq
def MainFormula():
exchange1, exchange2, exchange3, exchange4, exchange5 = [None]*5
while exchange1 is None or exchange2 is None or exchange3 is None or exchange4 is None or exchange5 is None:
exchange1 = input('Please, choose a country from Germany, France, USA, HongKong, India, England, Japan or China: ')
exchange2 = input('Please, choose a second country for comparison: ')
exchange3 = input('Please, choose a third country for comparison: ')
exchange4 = input('Please, choose a fourth country for comparison: ')
exchange5 = input('Please, choose a fifth country for comparison: ')
exchange1 = str(exchange1) #ensure that entered exchage is string type
exchange2 = str(exchange2) #ensure that entered exchage is string type
exchange3 = str(exchange3) #ensure that entered exchage is string type
exchange4 = str(exchange4) #ensure that entered exchage is string type
exchange5 = str(exchange5) #ensure that entered exchage is string type
exchanges = [exchange1, exchange2, exchange3, exchange4, exchange5]
if any(e.lower() == 'germany' for e in exchanges):
ticker = "CHRIS/EUREX_FDAX1"
elif any(e.lower() == 'france' for e in exchanges):
ticker = "CHRIS/LIFFE_FCE1"
elif any(e.lower() == 'usa' for e in exchanges):
ticker = "MULTPL/SP500_REAL_PRICE_MONTH"
elif any(e.lower() == 'hong kong' for e in exchanges):
ticker = "CHRIS/HKEX_HSI1"
elif any(e.lower() == 'india' for e in exchanges):
ticker = "NSE/CNX_NIFTY"
elif any(e.lower() == 'japan' for e in exchanges):
ticker = "NIKKEI/ALL_STOCK"
elif any(e.lower() == 'england' for e in exchanges):
ticker = "CHRIS/LIFFE_Z1"
elif any(e.lower() == 'china' for e in exchanges):
ticker = "WFE/INDEXES_SHANGHAISESSECOMPOSITEINDEX"
try:
date_time = date.today() #define today's date
ten_years = date_time - timedelta(days=365*10) # define the date one month ago
end = date_time.strftime("%Y/%m/%d") #make sure that date is in Y-m-d format
start = ten_years.strftime("%Y/%m/%d") #make sure that date is in Y-m-d format
global data
for i in exchanges:
global data
data[i] = quandl.get(ticker, start_date=start, end_date=end)
except (SyntaxError, NotFoundError):
" "
print('Incorrect arguments. Please, try another country.')
exchange3 = None
return "Here are the results"
program = MainFormula()
print(program)