■ DataFrame 클래스의 drop 메소드를 사용해 특정 컬럼을 삭제하는 방법을 보여준다.
▶ main.py
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import pandas as pd dataFrame1 = pd.read_csv("titanic.csv") print(dataFrame1) """ PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C 2 3 1 3 Heikkinen, Miss Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 3 4 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S 4 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 NaN S .. ... ... ... ... ... ... ... ... ... ... ... ... 886 887 0 2 Montvila, Rev. Juozas male 27.0 0 0 211536 13.0000 NaN S 887 888 1 1 Graham, Miss Margaret Edith female 19.0 0 0 112053 30.0000 B42 S 888 889 0 3 Johnston, Miss Catherine Helen "Carrie" female NaN 1 2 W./C. 6607 23.4500 NaN S 889 890 1 1 Behr, Mr. Karl Howell male 26.0 0 0 111369 30.0000 C148 C 890 891 0 3 Dooley, Mr. Patrick male 32.0 0 0 370376 7.7500 NaN Q [891 rows x 12 columns] """ print() dataFrame2 = dataFrame1.drop(["Cabin", "Embarked"], axis = 1) # axis : 0(행), 1(컬럼) print(dataFrame2) """ PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare 0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 2 3 1 3 Heikkinen, Miss Laina female 26.0 0 0 STON/O2. 3101282 7.9250 3 4 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 4 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 .. ... ... ... ... ... ... ... ... ... ... 886 887 0 2 Montvila, Rev. Juozas male 27.0 0 0 211536 13.0000 887 888 1 1 Graham, Miss Margaret Edith female 19.0 0 0 112053 30.0000 888 889 0 3 Johnston, Miss Catherine Helen "Carrie" female NaN 1 2 W./C. 6607 23.4500 889 890 1 1 Behr, Mr. Karl Howell male 26.0 0 0 111369 30.0000 890 891 0 3 Dooley, Mr. Patrick male 32.0 0 0 370376 7.7500 [891 rows x 10 columns] """ |
▶ requirements.txt
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numpy==2.1.2 pandas==2.2.3 python-dateutil==2.9.0.post0 pytz==2024.2 six==1.16.0 tzdata==2024.2 |
※ pip install pandas 명령을 실행했다.
