Python으로 데이터 정제하기
Adel Nehme
VP of AI Curriculum, DataCamp
movies.head()
movie_name avg_rating
0 The Godfather 5
1 Frozen 2 3
2 Shrek 4
...
import matplotlib.pyplot as plt
plt.hist(movies['avg_rating'])
plt.title('영화 평균 평점 (1-5)')

미래 가입이 가능할까요?
# datetime 임포트
import datetime as dt
today_date = dt.date.today()
user_signups[user_signups['subscription_date'] > dt.date.today()]
subscription_date user_name ... Country
0 01/05/2021 Marah ... Nauru
1 09/08/2020 Joshua ... Austria
2 04/01/2020 Heidi ... Guinea
3 11/10/2020 Rina ... Turkmenistan
4 11/07/2020 Christine ... Marshall Islands
5 07/07/2020 Ayanna ... Gabon
import pandas as pd
# 평점 > 5 인 영화 출력
movies[movies['avg_rating'] > 5]
movie_name avg_rating
23 A Beautiful Mind 6
65 La Vita e Bella 6
77 Amelie 6
# 필터링으로 삭제 movies = movies[movies['avg_rating'] <= 5]# .drop()으로 삭제 movies.drop(movies[movies['avg_rating'] > 5].index, inplace = True)# 결과 확인 assert movies['avg_rating'].max() <= 5
# avg_rating > 5 는 5로 변환
movies.loc[movies['avg_rating'] > 5, 'avg_rating'] = 5
# 단언문
assert movies['avg_rating'].max() <= 5
출력이 없으면 통과입니다
import datetime as dt
import pandas as pd
# 데이터 타입 출력
user_signups.dtypes
subscription_date object
user_name object
Country object
dtype: object
# 날짜로 변환
user_signups['subscription_date'] = pd.to_datetime(user_signups['subscription_date']).dt.date
today_date = dt.date.today()
데이터 삭제
# 필터링으로 삭제 user_signups = user_signups[user_signups['subscription_date'] < today_date]# .drop()으로 삭제 user_signups.drop(user_signups[user_signups['subscription_date'] > today_date].index, inplace = True)
상한으로 날짜 고정
# 필터링으로 처리
user_signups.loc[user_signups['subscription_date'] > today_date, 'subscription_date'] = today_date
# 단언문 확인
assert user_signups.subscription_date.max().date() <= today_date
Python으로 데이터 정제하기