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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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 3831840 3 Derrick..

Reference Pandas In Action 1. df 행 반환 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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 383184..

Reference Pandas In Action 1. df 열 반환 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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 383184..

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(datetime)으로 강제 변환 ) nba Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 3831840 3 D..

Reference Pandas In Action df 데이터 셋의 전체 개수 확인 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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-2..

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 날짜/시간(datetime)으로 강제 변환 ) nba Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 ..

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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 3831840 3 Derrick..

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 Name Team Position Birthday Salary 0 Shake Milton Philadelphia 76ers SG 1996-09-26 1445697 1 Christian Wood Detroit Pistons PF 1995-09-27 1645357 2 PJ Washington Charlotte Hornets PF 1998-08-23 3831840 3 Derrick Rose Detroit Pistons PG..