[pandas] DO IT 데이터분석을 위한 판다스 입문 (Series)

import pandas as pd

scientists = pd.read_csv('./data/scientists.csv')

print(scientists)

ages = scientists['Age']

print(ages.max())

print(ages[ages > ages.mean()])

print(ages > ages.mean())

ages = scientists['Age']

print(ages + ages)
print(ages * ages)
print(ages + 100)​

ages = scientists['Age']

print(pd.Series([1, 100]))

print(ages + pd.Series([1, 100]))

# 역순정렬(index의 역순, data의 역순 아님)
rev_ages = ages.sort_index(ascending=False)
print(rev_ages)

print(ages * 2)
print(ages + rev_ages) # 일치하는 인덱스끼리 연산