我有这么远。当我运行它时,它将字符串数字转换为浮点数,甚至为我删除时间戳。那我怎么把这些数字放进新的组呢?我的目标是,我希望每一行都是自己的列表,但只需要时间戳和每行的最后0之间的数字。
import pandas as pd
import numpy as np
ver = '''
2018.12.0400:00,0.73572,0.73614,0.73544,0.73550,520,0
2018.12.0401:00,0.73550,0.73594,0.73545,0.73553,1181,0
2018.12.0402:00,0.73553,0.73606,0.73510,0.73539,1960,0
2018.12.0403:00,0.73539,0.73621,0.73481,0.73608,2898,0
'''
number = ver.split(',')
for num in number:
try:
new = float(num)
print(new)
except:
print('this one messed up')
您可以先按行拆分数据,然后再按','拆分。
ver = '''2018.12.0400:00,0.73572,0.73614,0.73544,0.73550,520,0
2018.12.0401:00,0.73550,0.73594,0.73545,0.73553,1181,0
2018.12.0402:00,0.73553,0.73606,0.73510,0.73539,1960,0
2018.12.0403:00,0.73539,0.73621,0.73481,0.73608,2898,0'''
ver = [i.split(',') for i in ver.split('\n')]
df = pd.DataFrame(ver)
df
输出:
0 1 2 3 4 5 6
0 2018.12.0400:00 0.73572 0.73614 0.73544 0.73550 520 0
1 2018.12.0401:00 0.73550 0.73594 0.73545 0.73553 1181 0
2 2018.12.0402:00 0.73553 0.73606 0.73510 0.73539 1960 0
3 2018.12.0403:00 0.73539 0.73621 0.73481 0.73608 2898 0