Question

我有一个这样的csv文件：

"time","student","items"

"09:00:00","Tim","apple"

"09:00:05","Jason","orange"

"09:00:10","Emily","grape"

"09:00:15","Ivy","kiwi"

（很多次，间隔是5秒）

我想使用熊猫让时间成为索引，我希望时间看起来像下面的2019-05-09 09:00:00

datetime.datetime(2019, 5, 9, 9, 0)

我只能得到一个简单的

时间

09:00:00

09:00:05

09:00:10

09:00:15

并且无法获取上述类型

import pandas as pd 

df0509 = pd.read_csv("0509.csv",index_col="time")

Answer 1

使用pd.to_datetime()

代码

import pandas as pd

# Read data
data = pd.read_csv("0509.csv")

# Converting to datetime
data['time'] = pd.to_datetime(data['time'])

# Display dataframe
data.head()

输出

                 time student   items
0 2019-05-20 09:00:00     Tim   apple
1 2019-05-20 09:00:05   Jason  orange
2 2019-05-20 09:00:10   Emily   grape
3 2019-05-20 09:00:15     Ivy    kiwi

将日期设置为索引

我不建议这样做，因为索引需要唯一。多行很有可能具有相同的日期时间。

# Code
data.set_index('time', inplace=True)

# Output
                    student   items
time                               
2019-05-20 09:00:00     Tim   apple
2019-05-20 09:00:05   Jason  orange
2019-05-20 09:00:10   Emily   grape
2019-05-20 09:00:15     Ivy    kiwi

Reference

熊猫索引时间到正式时间

1 个答案: