[Python] Series 차원 확인 :: Series.shape
Series 차원 확인 :: Series.shape Reference Pandas In Action import pandas as pd calories_info = { 'Protein Bar' : 125, 'Salade' : 215, 'Chocolate Bar' : 406, } diet = pd.S...
Series 차원 확인 :: Series.shape Reference Pandas In Action import pandas as pd calories_info = { 'Protein Bar' : 125, 'Salade' : 215, 'Chocolate Bar' : 406, } diet = pd.S...
1. Series 정렬 Reference Pandas In Action import pandas as pd battles = pd.read_csv( './Data/revolutionary_war.csv', index_col = 'Start Date', parse_dates = ['Start Date'...
Reference Pandas In Action 1. 유니크값 import pandas as pd calories_info = { 'Protein Bar' : 125, 'Salade' : 215, 'Chocolate Bar' : 406, 'Chicken Breast' : 125 } diet = pd....
Series 요소 개수 확인 :: Series.size Reference Pandas In Action import pandas as pd calories_info = { 'Protein Bar' : 125, 'Salade' : 215, 'Chocolate Bar' : 406, } diet = pd...
Reference Pandas In Action import pandas as pd nba = pd.read_csv( './Data/nba.csv', parse_dates = ['Birthday'] # 'Birthday'의 데이터 유형을 날짜/시간(datetime)으로 강제 변환 ) nba ...
Reference Pandas In Action 1. DataFrame 차원 확인 :: df.ndim & df.shape import pandas as pd nba = pd.read_csv( './Data/nba.csv', parse_dates = ['Birthday'] # 'Birthday'의 데이터 유형을...
Reference Pandas In Action df 데이터 전체 개수 :: df.size import pandas as pd nba = pd.read_csv( './Data/nba.csv', parse_dates = ['Birthday'] # 'Birthday'의 데이터 유형을 날짜/시간(datetime)으로 강...
Reference Pandas In Action df 행/열 별 유효값 개수 :: df.count() import pandas as pd nba = pd.read_csv( './Data/nba.csv', parse_dates = ['Birthday'] # 'Birthday'의 데이터 유형을 날짜/시간(datetim...
Reference Pandas In Action import pandas as pd nba = pd.read_csv( './Data/nba.csv', parse_dates = ['Birthday'] # 'Birthday'의 데이터 유형을 날짜/시간(datetime)으로 강제 변환 ) nba ...
Series 값의 유형 :: Series.dtype Reference Pandas In Action import pandas as pd calories_info = { 'Protein Bar' : 125, 'Salade' : 215, 'Chocolate Bar' : 406, } diet = pd.S...