Question

我正在尝试将df中的24小时时间内的列替换为总秒数。下面的代码生成随机df。

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输出：

import pandas as pd
import random

def randomTime():

    rtime = int(random.random()*86400)

    hours   = int(rtime/3600)
    minutes = int((rtime - hours*3600)/60)
    seconds = rtime - hours*3600 - minutes*60

    time_string = '%02d:%02d:%02d' % (hours, minutes, seconds)
    return time_string

time = [randomTime() for _ in range(8)]

k = 5
N = 8

d = ({'Time' : (time),
    'Events' : ['ABC','DEF','GHI','JKL','ABC','DEF','GHI','JKL'],
    'Number1' : ['xx','xx',1,'xx','xx','xx',2,'xx'],
    'Number2' : ['xx',1,'xx',1,'xx',2,'xx',2]})

df = pd.DataFrame(data=d)

我可以将Time转换为总秒数并使用以下内容返回单独的系列：

  Events Number1 Number2      Time
0    ABC      xx      xx  07:02:30
1    DEF      xx       1  03:34:02
2    GHI       1      xx  01:38:11
3    JKL      xx       1  14:50:43
4    ABC      xx      xx  06:05:53
5    DEF      xx       2  18:50:44
6    GHI       2      xx  17:09:42
7    JKL      xx       2  21:09:28

输出：

Time_secs = pd.to_timedelta(df['Time']).dt.total_seconds()

但我想将数据框中的Time列替换为总秒数。不要导出一个单独的系列，我必须将它连接回df。

所以我希望能够提供以下内容：

0    25350.0
1    12842.0
2     5891.0
3    53443.0
4    21953.0
5    67844.0
6    61782.0
7    76168.0

Answer 1

为什么不直接将结果分配给列？

df['Time'] = pd.to_timedelta(df['Time']).dt.total_seconds()

如何将24小时时间转换为数据帧中的总秒数

1 个答案: