Question

如何同时运行这两个python例程？

第一个例程

for i in tqdm_notebook(range(0,len(stock_ticker.Symbol))):
try:
    ticker_df=pd.DataFrame(get_data(np.array(stock_ticker.Symbol)[i]))
    ticker_df.to_csv("E:\\Stock Database\\Stock Prices\\%s.txt"%np.array(stock_ticker.Symbol)[i])

并同时运行此

第二次例行

for i in tqdm_notebook(range(0,len(stock_ticker.Symbol))):
try:
    ticker_df=pd.DataFrame(get_income_statement(np.array(stock_ticker.Symbol)[i]))
    ticker_df.to_csv("E:\\Stock Database\\Income Statement\\%s.txt"%np.array(stock_ticker.Symbol)[i])

Answer 1

最简单的方法是使用标准库中随附的threading软件包。将两个模块包装在函数中，然后将它们包装在线程中应该可以完成工作-即

def write_prices():
    for i in tqdm_notebook(range(0,len(stock_ticker.Symbol))):
        try:
            ticker_df=pd.DataFrame(get_data(np.array(stock_ticker.Symbol)[i]))
            ticker_df.to_csv("E:\\Stock Database\\Stock Prices\\%s.txt"%np.array(stock_ticker.Symbol)[i])

def write_incomes():                
    for i in tqdm_notebook(range(0,len(stock_ticker.Symbol))):
        try:
            ticker_df=pd.DataFrame(get_income_statement(np.array(stock_ticker.Symbol)[i]))
            ticker_df.to_csv("E:\\Stock Database\\Income Statement\\%s.txt"%np.array(stock_ticker.Symbol)[i])

import threading

# construct the threads
t1 = threading.Thread(target=write_prices)
t2 = threading.Thread(target=write_incomes)

# start the threads
[t.start() for t in (t1, t2)]

# wait until they finish
[t.join() for t in (t1, t2)]

这应该起作用，但是如果您在get_data(...)和get_income_statement(...)之间共享值，则可能会遇到需要使用锁解决的问题。

如何同时运行这两个python例程？

1 个答案: