.loc 및 .iloc을 사용한 슬라이싱과 부분 추출
pandas를 이용한 데이터 다루기
Richie Cotton
Data Evangelist at DataCamp
리스트 슬라이싱
breeds = ["Labrador", "Poodle",
"Chow Chow", "Schnauzer",
"Labrador", "Chihuahua",
"St. Bernard"]
['Labrador',
'Poodle',
'Chow Chow',
'Schnauzer',
'Labrador',
'Chihuahua',
'St. Bernard']
breeds[2:5]
['Chow Chow', 'Schnauzer', 'Labrador']
breeds[:3]
['Labrador', 'Poodle', 'Chow Chow']
breeds[:]
['Labrador','Poodle','Chow Chow','Schnauzer',
'Labrador','Chihuahua','St. Bernard']
슬라이싱하기 전에 인덱스 정렬하기
dogs_srt = dogs.set_index(["breed", "color"]).sort_index()
print(dogs_srt)
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
상위 인덱스 레벨 슬라이싱
dogs_srt.loc["Chow Chow":"Poodle"]
name height_cm weight_kg
breed color
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
마지막 값인 \"Poodle\" 이 포함됩니다
전체 데이터 세트
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
하위 인덱스 레벨을 잘못 슬라이싱하는 경우
dogs_srt.loc["Tan":"Grey"]
Empty DataFrame
Columns: [name, height_cm, weight_kg]
Index: []
전체 데이터 세트
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
하위 인덱스 레벨을 올바르게 슬라이싱하기
dogs_srt.loc[
("Labrador", "Brown"):("Schnauzer", "Grey")]
name height_cm weight_kg
breed color
Labrador Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
전체 데이터 세트
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
열 슬라이싱
dogs_srt.loc[:, "name":"height_cm"]
name height_cm
breed color
Chihuahua Tan Stella 18
Chow Chow Brown Lucy 46
Labrador Black Max 59
Brown Bella 56
Poodle Black Charlie 43
Schnauzer Grey Cooper 49
St. Bernard White Bernie 77
전체 데이터 세트
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
두 번 슬라이싱하기
dogs_srt.loc[
("Labrador", "Brown"):("Schnauzer", "Grey"),
"name":"height_cm"]
name height_cm
breed color
Labrador Brown Bella 56
Poodle Black Charlie 43
Schanuzer Grey Cooper 49
전체 데이터 세트
name height_cm weight_kg
breed color
Chihuahua Tan Stella 18 2
Chow Chow Brown Lucy 46 22
Labrador Black Max 59 29
Brown Bella 56 25
Poodle Black Charlie 43 23
Schnauzer Grey Cooper 49 17
St. Bernard White Bernie 77 74
생일 데이터 다루기
dogs = dogs.set_index("date_of_birth").sort_index()
print(dogs)
name breed color height_cm weight_kg
date_of_birth
2011-12-11 Cooper Schanuzer Grey 49 17
2013-07-01 Bella Labrador Brown 56 25
2014-08-25 Lucy Chow Chow Brown 46 22
2015-04-20 Stella Chihuahua Tan 18 2
2016-09-16 Charlie Poodle Black 43 23
2017-01-20 Max Labrador Black 59 29
2018-02-27 Bernie St. Bernard White 77 74
날짜로 슬라이싱하기
# Get dogs with date_of_birth between 2014-08-25 and 2016-09-16
dogs.loc["2014-08-25":"2016-09-16"]
name breed color height_cm weight_kg
date_of_birth
2014-08-25 Lucy Chow Chow Brown 46 22
2015-04-20 Stella Chihuahua Tan 18 2
2016-09-16 Charlie Poodle Black 43 23
날짜의 일부만 가지고 슬라이싱하기
# Get dogs with date_of_birth between 2014-01-01 and 2016-12-31
dogs.loc["2014":"2016"]
name breed color height_cm weight_kg
date_of_birth
2014-08-25 Lucy Chow Chow Brown 46 22
2015-04-20 Stella Chihuahua Tan 18 2
2016-09-16 Charlie Poodle Black 43 23
행/열 번호로 부분 추출하기
print(dogs.iloc[2:5, 1:4])
breed color height_cm
2 Chow Chow Brown 46
3 Schnauzer Grey 49
4 Labrador Black 59
전체 데이터 세트
name breed color height_cm weight_kg
0 Bella Labrador Brown 56 25
1 Charlie Poodle Black 43 23
2 Lucy Chow Chow Brown 46 22
3 Cooper Schnauzer Grey 49 17
4 Max Labrador Black 59 29
5 Stella Chihuahua Tan 18 2
6 Bernie St. Bernard White 77 74
연습해봅시다!
pandas를 이용한 데이터 다루기
