熊猫-将列转换为日期时间格式时包含不必要的值

Question

I made a column by concatenating integers and converting into string format. Later I am converting the string column into datetime, everything is working just fine except an additional day field is added to the new datetime column. Here is what I mean to say.

 I am making a column of type string like this,
 '1-1992' where 1 reflects month and 1992 reflects year

But, when I am converting the column with "Month-Year" to datetime format,an additional "Day" field is getting added to the new column, here is what it looks like.

 "1992-01-01" (last 01 is added to all the values,which i don't want,
               I only want month and year keeping datetime format -
                with me).

How can I get rid of the last 01 which is present in all the rows, keeping the format to datetime ? Thank you.

Answer 1

import datetime
df[date_column] = df[date_column].apply(lambda x : datetime.datetime.strftime(x, "%Y-%m"))