如何从给定的输入中检索日期

Question

我有一个DataFrame，我需要创建一个列，该列将具有Date格式的Date。其他数据框列包含月份，月份和月份。下面是示例。

Answer 1

如果您想保留每月的确切日期，我相信这就是您要寻找的东西：

import pandas as pd    
from datetime import datetime


df['Date'] = df['Birth Year'].astype(str) + "-" + df['Birth Month'].astype(str) + "-" + df['Day'].astype(str)

如果您想获得实际日期，则必须添加实际日期并像这样运行它：

df['Date'] = df.apply(lambda row: datetime(row['Birth Year'], row['Birth Month'], row['Day']), axis=1)

Answer 2

尝试一下：

import pandas as pd
import datetime as datetime
df = #Your input dataframe

#Extract the day, month and year into a single column
df["Date"] = df['Day'].astype(str).str[0] + df["Birth Month"].map(str) + df["Birth Year"].map(str)

#Convert it into a string format consisiting of the date
df["Date"] = df['Date'].apply(lambda x:datetime.strptime(x,'%d%m%y').date())
#Now convert the column into pandas datetime format
df["Date"] = pd.to_datetime(df["Date"])

输出：

print（df）

   Birth Month  Birth Year           Day       Date
0            5          88    1st Monday 1988-05-01
1           10          87   3rd Tuesday 1987-10-03
2           12          87  2nd Saturday 1987-02-21
3            1          88   1st Tuesday 1988-01-01
4            2          88    1st Monday 1988-02-01

print（df.dtypes）

Birth Month             int64
Birth Year              int64
Day                    object
Date            datetime64[ns] #Desired datetime format of pandas dataframe