■ DataFrame 클래스의 pivot 메소드에서 columns/values 인자를 사용해 LONG 포맷 데이터에서 WIDE 포맷 데이터를 구하는 방법을 보여준다.
▶ main.py
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import pandas as pd dataFrame1 = pd.read_csv("air_quality_long.csv", index_col = "date.utc", parse_dates = True) # 5272건 dataFrame2 = dataFrame1[dataFrame1["parameter"] == "no2"] # 3447건 dataFrame3 = dataFrame2.pivot(columns = "location", values = "value") print(dataFrame3) """ location BETR801 FR04014 London Westminster date.utc 2019-04-09 01:00:00+00:00 22.5 24.4 NaN 2019-04-09 02:00:00+00:00 53.5 27.4 67.0 2019-04-09 03:00:00+00:00 54.5 34.2 67.0 2019-04-09 04:00:00+00:00 34.5 48.5 41.0 2019-04-09 05:00:00+00:00 46.5 59.5 41.0 ... ... ... ... 2019-06-20 20:00:00+00:00 NaN 21.4 NaN 2019-06-20 21:00:00+00:00 NaN 24.9 NaN 2019-06-20 22:00:00+00:00 NaN 26.5 NaN 2019-06-20 23:00:00+00:00 NaN 21.8 NaN 2019-06-21 00:00:00+00:00 NaN 20.0 NaN [1705 rows x 3 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.
