IT의 신

[1] import numpy as np import pandas as pd [2] df = pd.read_csv("https://raw.githubusercontent.com/SoongMoo/soldesk2110/main/data/scientists.csv") df [11] print(df['Age']) print(df['Age'].mean()) #### 평균나이보다 많은 사람을 출력하시오. # 마스킹 df[df['Age'] > df['Age'].mean()] # 마스크 df['Age'] > df['Age'].mean() df[[False,True,True,True,False,False,False,True]] df['Age'][df['Age'] > df['Age'].mean()] 0 37 1 61 2 ..

[2] import pandas as pd import numpy as np [12] pop = pd.Series([33871648, 37253956, 18976457, 19378102, 20851820, 25145561],index=['a','b','c','d','e','f']) pop a 33871648 b 37253956 c 18976457 d 19378102 e 20851820 f 25145561 dtype: int64 [16] index=['a','b','c','d','e','f'] pop = pd.Series([33871648, 37253956, 18976457, 19378102, 20851820, 25145561],index=index) pop pop['a': 'c'] a 33871648 b..