Pythonใจใใฃใผใใฉใผใใณใฐใๆดป็จใใๆ็ณปๅใใผใฟๅฆ็
ๆ้ใฏ็ตถใใๆตใใใใผใฟใฏ่็ฉใ็ถใใพใใใใฎใใคใใใใฏใชไธ็ใงใฏใๆ็ณปๅใใผใฟใฏ็งใใกใฎ็ๆดปใฎใใใใ้ขใง้่ฆใชๅฝนๅฒใๆใใใฆใใพใใ้่ๅธๅ ดใฎใใฉใใฃใชใใฃใใๆฐๅๅคๅใฎๅพฎๅฆใชไฟกๅทใซ่ณใใพใงใๆ็ณปๅใใผใฟใซใฏใใใใในใฆใๅซใพใใฆใใพใใใใฆใใใฎๅผทๅใชใใผใฟใPythonใจใใฃใผใใฉใผใใณใฐใฎๅใไฝฟใฃใฆ่งฃ้ใใฆๆดป็จใใๆนๆณใๅญฆใณใพใใใ๏ผ
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- ๆช่งฃๆฑบ
์๋ฌธ์๋ต 2 - ์ค์ต (์ฐจ๋ถ/์ด๋ํ๊ท )
์ค์ต ์งํํ์ค๋yfinance ๋ถ๋ถ์์ms = yf.download("MSFT", start='2020-01-01', end='2021-12-31', progress=False)
๋ฅ๋ฌ๋ํฌ์๊ธ์ต๊ณตํ์๊ณ ๋ฆฌ์ฆ์ธ๊ณต์ง๋ฅ(ai)python3skidrow08020712
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- ๆช่งฃๆฑบ
์๋ฌธ์๋ต - Pandas(groupby) ๊ด๋ จ
์ค์ต ํํธ์ Groupby ํจ์๊ฐ ์ ์ฉ์ด ์๋ ์group_variables = ['Order Date', 'Category'] desired = df.select_dtypes(['int16', 'int32', 'int64', 'flo
๋ฅ๋ฌ๋ํฌ์๊ธ์ต๊ณตํ์๊ณ ๋ฆฌ์ฆ์ธ๊ณต์ง๋ฅ(ai)python3skidrow08020712
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122
2