CSV文件转换为Pandas Series（时间对象）

Question

首先，我有一个像这样的0404.csv

"time","xxxxx","xxxxxxx"

"09:00:00","xxxx","xxxxxx"

"09:00:01","xxxxx","xxxxx"

"09:00:02","xxxxxx","xxxxxx"
..........

我想获得一系列datetime，例如datetime.datetime（2019，4，4，9，0，1）datetime.datetime（2019，4，4，9，0，2）......

import pandas as pd  
df = pd.read_csv("0404.csv", usecols = ['time'])

Answer 1

好吧，由于您的时间列仅包含时间，因此您无法从中提取日期。

       time
0  09:00:00
1  09:00:01
2  09:00:02

所以您需要自己制作，就像这样：

import pandas as pd
import datetime

df = pd.read_csv("0404.csv", usecols = ['time'])

df['time'] = df['time'].apply(lambda x: datetime.datetime.strptime('2019-04-04 {}'.format(x), '%Y-%m-%d %H:%M:%S'))

输出将如下所示：

                 time
0 2019-04-04 09:00:00
1 2019-04-04 09:00:01
2 2019-04-04 09:00:02