eurusd

导入数据： import pandas as pd import numpy as np '''导入数据''' all_thing = pd . read_csv ( 'EURUSD 60 train.csv' , header = None ) #收盘价 train_data_close = pd . read_csv ( 'EURUSD 60 train.csv' , usecols = [ 5 ] , header = None ) #开盘价 train_data_open = pd . read_csv ( 'EURUSD 60 train.csv' , usecols = [ 2 ] , header = None ) #最低价 train_data_low = pd . read_csv ( 'EURUSD 60 train.csv' , usecols = [ 3 ] , header = None ) #最高价 train_data_high = pd . read_csv ( 'EURUSD 60 train.csv' , usecols = [ 4 ] , header = None ) #时间 train_data_time = pd . read_csv ( 'EURUSD 60 train.csv' , usecols = [ 0 ] , header =

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have a csv file contains minutes exchange rate , , , , , , , EURUSD , 20110103 , 000000 , 1.3353 , 1.3354 , 1.3353 , 1.3354 , 4 EURUSD , 20110103 , 000100 , 1.3355 , 1.3356 , 1.3355 , 1.3356 , 4 EURUSD , 20110103 , 000200 , 1.3355 , 1.3356 , 1.3350 , 1.3350 , 4 EURUSD , 20110103 , 000300 , 1.3349 , 1.3349 , 1.3348 , 1.3348 , 4 EURUSD , 20110103 , 000400 , 1.3347 , 1.3348 , 1.3347 , 1.3348 , 4 ... Trying to do below but not working for me. How to read date time from 2 columns? rate above code generated error : index has 5 bad