Adding a new row with data from an existing row in a pandas dataframe

So I have an array that has the month and year group together and the month and the value (yyyymm) so Jan 1950 would be 195001 and October 1982 would be 198210. So I was just curious as to how I could split the string and create a new month column. I’m new to Pandas and don’t know a lot about it

current:

     Date,      Value
 1 195001   1
 2 195002   2
3  195003   3

Goal:

     Date,      Value,     Month
 1 1950           1               01
 2 1950           2               02
3  1950           3               03