Milky's note

https://www.hackerrank.com/challenges/the-pads/problem?isFullScreen=true The PADS | HackerRank Query the name and abbreviated occupation for each person in OCCUPATIONS. www.hackerrank.com [문제] Generate the following two result sets: Query an alphabetically ordered list of all names in OCCUPATIONS, immediately followed by the first letter of each profession as a parenthetical (i.e.: enclosed in p..

1. 결측값 처리 #결측값 채우기(fillna) df['키'].fillna(-1) df2['키'].fillna(-1, inplace=True) #값을 바로 대입 #결측값 삭제(dropna) df.dropna() df.dropna(axis=0) #axis를 사용하여 행 또는 열을 제거 df.dropna(axis=0, how='any') #한개라도 있는 경우 df.dropna(axis=0, how='all') #모두 NaN인 경우 #중복된 값 제거 (drop_duplicates) df['키'].drop_duplicates() df['키'].drop_duplicates(keep='last') #맨마지막 항목 유지 df['키'].drop_duplicates(keep='first') #맨처음 항목 유지 #행 전체..