pandas - 如何读取熊猫中的时间列以及如何将其转换为毫秒

Question

I used this code to read excel file
df=pd.read_excel("XYZ.xlsb",engine='pyxlsb',dtype={'Time':str})

This is just to show what i am getting after reading excel file.

import pandas as pd
import numpy as np
data = {'Name':['T1','T2','T3'],
    'Time column in excel':['01:57:15', '00:30:00', '05:00:00'],
    'Time column in Python':['0.0814236111111111', '0.0208333333333333', '0.208333333333333']}
       
df = pd.DataFrame(data)
print (df)

| left | Time column in excel | Time column in Python|
| T1  | 01:57:15              |  0.0814236111111111  |
| T2  | 00:30:00              |  0.0208333333333333  |
| T3  | 05:00:00              |  0.208333333333333   |

我想像在 excel 中一样阅读这个时间。并且想转换成毫秒，因为我想用时间来计算时间差百分比以进一步工作

Answer 1

尝试将日期时间的微秒除以 1000

def get_milliseconds(dt):
    return dt.microsecond / 1000