■ MonthBegin 클래스를 사용해 DataFrame 객체에서 날짜 컬럼의 값을 기준으로 다음 달 시작일을 갖는 신규 컬럼을 추가하는 방법을 보여준다.
▶ main.py
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import pandas as pd dataFrame = pd.read_excel("tips.xlsx", index_col = 0) dataFrame["date1"] = pd.Timestamp("2013-01-15") dataFrame["date1_next" ] = dataFrame["date1"] + pd.offsets.MonthBegin() print(dataFrame) """ total_bill tip sex smoker day time size date1 date1_next 0 16.99 1.01 Female No Sun Dinner 2 2013-01-15 2013-02-01 1 10.34 1.66 Male No Sun Dinner 3 2013-01-15 2013-02-01 2 21.01 3.50 Male No Sun Dinner 3 2013-01-15 2013-02-01 3 23.68 3.31 Male No Sun Dinner 2 2013-01-15 2013-02-01 4 24.59 3.61 Female No Sun Dinner 4 2013-01-15 2013-02-01 .. ... ... ... ... ... ... ... ... ... 239 29.03 5.92 Male No Sat Dinner 3 2013-01-15 2013-02-01 240 27.18 2.00 Female Yes Sat Dinner 2 2013-01-15 2013-02-01 241 22.67 2.00 Male Yes Sat Dinner 2 2013-01-15 2013-02-01 242 17.82 1.75 Male No Sat Dinner 2 2013-01-15 2013-02-01 243 18.78 3.00 Female No Thur Dinner 2 2013-01-15 2013-02-01 [244 rows x 9 columns] """ |
▶ requirements.txt
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defusedxml==0.7.1 et_xmlfile==2.0.0 numpy==2.1.3 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.
