■ DataFrame 클래스의 info 메소드를 사용해 데이터 정보를 구하는 방법을 보여준다.
▶ main.py
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import pandas as pd dataFrame1 = pd.read_excel("titanic.xlsx", sheet_name = "passengers") dataFrame2 = dataFrame1.info() print(dataFrame2) """ <class 'pandas.core.frame.DataFrame'> RangeIndex: 891 entries, 0 to 890 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 PassengerId 891 non-null int64 1 Survived 891 non-null int64 2 Pclass 891 non-null int64 3 Name 891 non-null object 4 Sex 891 non-null object 5 Age 714 non-null float64 6 SibSp 891 non-null int64 7 Parch 891 non-null int64 8 Ticket 891 non-null object 9 Fare 891 non-null float64 10 Cabin 204 non-null object 11 Embarked 889 non-null object dtypes: float64(2), int64(5), object(5) memory usage: 83.7+ KB None """ |
▶ requirements.txt
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defusedxml==0.7.1 et_xmlfile==2.0.0 numpy==2.1.2 odfpy==1.4.1 openpyxl==3.1.5 pandas==2.2.3 python-calamine==0.2.3 python-dateutil==2.9.0.post0 pytz==2024.2 pyxlsb==1.0.10 six==1.16.0 tzdata==2024.2 xlrd==2.0.1 XlsxWriter==3.2.0 |
※ pip install "pandas[excel]" 명령을 실행했다.
