Python (2) ์ธ๋ค์ผํ ๋ฆฌ์คํธํ [Python]Pandas _ Merge, Concat โ Data Load # Data Load (df1, df2) DataUrl = 'https://raw.githubusercontent.com/Datamanim/pandas/main/mergeTEst.csv' df = pd.read_csv(DataUrl) df = df.set_index('Location') df1 = df.iloc[:4,:] df2 = df.iloc[4:,:] display(df1) display(df2) โ df1, df2 ๋ฐ์ดํฐ๋ฅผ ํ๋์ ๋ฐ์ดํฐ ํ๋ ์์ผ๋ก ํฉ์น๊ธฐ # df1, df2 ๋ฐ์ดํฐ๋ฅผ ํ๋์ ๋ฐ์ดํฐ ํ๋ ์์ผ๋ก ํฉ์น๊ธฐ total = pd.concat([df1,df2]) Ans = total Ans โ df3๊ณผ df4 ๋ฐ์ดํฐ๋ฅผ ํ๋์ ๋ฐ์ดํฐ ํ๋ ์์ผ๋ก ํฉ์น๊ธฐ # df3๊ณผ df4 ๋ฐ.. [Python] Pandas _ Pivot โ Data Load & ์ปฌ๋ผ ์ญ์ ๋ฐ ์์ # Data Load # Indicator์ ์ญ์ ํ๊ณ First Tooltip ์ปฌ๋ผ์์ ์ ๋ขฐ๊ตฌ๊ฐ์ ํด๋นํ๋ ํํ์ ์ง์ฐ๊ธฐ DataUrl = 'https://raw.githubusercontent.com/Datamanim/pandas/main/under5MortalityRate.csv' df = pd.read_csv(DataUrl) df.drop('Indicator', axis=1, inplace=True) df['First Tooltip'] = df['First Tooltip'].map(lambda x : float(x.split("[")[0])) Ans = df Ans.head(4) โ ํน์ ์ผ์ด์ค ์ถ์ถ # ๋ ๋๊ฐ 2015๋ ์ด์, Dim1์ด Both sex.. ์ด์ 1 ๋ค์