Most of the info I found was not in python>pandas>dataframe hence the question.
I want to transform an integer between 1 and 12 into an abbrieviated month name.
I have a df which looks like:
client Month
1 sss 02
2 yyy 12
3 www 06
I want the df to look like this:
client Month
1 sss Feb
2 yyy Dec
3 www Jun
You can do this efficiently with combining calendar.month_abbr
and df[col].apply()
import calendar
df['Month'] = df['Month'].apply(lambda x: calendar.month_abbr[x])