data science/pandas
두개의 Series를 하나의 DataFrame으로 통합
꼰대코더
2025. 3. 12. 01:55
1. Population Series
population_dict = { 'California': 39538223, 'Texas': 29145505, 'Florida': 21538187, 'New York': 20201249, 'Pennsylvania': 13002700 } population = pd.Series(population_dict) |
혹은 데이터값이 리스트로 있을 경우
population_list = [39538223, 29145505, 21538187, 20201249, 13002700] population = pd.Series( population_list, index=[ 'California', 'Texas', 'Florida', 'New York', 'Pennsylvania']) # 혹은 # population = pd.Series( population_list) # population.index = [ 'California', 'Texas', 'Florida', 'New York', 'Pennsylvania'] |
2. Area Series
area_dict = { 'California': 423967, 'Texas': 695662, 'Florida': 170312, 'New York': 141297, 'Pennsylvania': 119280 } area = pd.Series(area_dict) |
1+2 DataFrame
states = pd.DataFrame({'population': population, 'area': area}) |
population | area | |
California | 39538223 | 423967 |
Texas | 29145505 | 695662 |
Florida | 21538187 | 170312 |
New York | 20201249 | 141297 |
Pennsylvania | 13002700 | 119280 |