将字符串（Dec / 2018）转换为日期时间

Question

我在pandas中有一个date列，如下所示作为字符串数据类型：

df['Date]

Dec/2018
Mar/2017
Sep/2019

我希望熊猫中的日期列如下所示，datetime datatype，  not string datatype：

df['Date]

`December-2018`
`March-2017`
`September-2019`

Answer 1

from datetime import datetime
import pandas as pd


# define sample data to create a dataframe from
data = {'Date': ['Dec/2018', 'Mar/2017', 'Sep/2019']}
df = pd.DataFrame(data)


# define a function to convert dates
def format_date(el):
    return datetime.strptime(el, '%b/%Y').strftime('%B-%Y')


# apply conversion to desired column and store output in new column
df['Date_formatted'] = df['Date'].apply(format_date)


# print the dataframe to check result
print(df)

将以如下方式输出数据帧：

       Date  Date_formatted
0  Dec/2018   December-2018
1  Mar/2017      March-2017
2  Sep/2019  September-2019

Answer 2

使用pd.to_datetime的pandas方法：

df['Date'] = pd.to_datetime(df['Date'], format='%b/%Y').dt.strftime('%B-%Y')

---

0     December-2018
1        March-2017
2    September-2019
Name: Date, dtype: object

Answer 3

import datetime
x = datetime.date.today()
print(x.strftime("%B - %Y "))

1. 有关其他信息，您可以阅读this。

2. 我希望它会对您有所帮助。