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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 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..

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'], usecols = ['State', 'Start Date'], squeeze = True ) battles tart Date 1774-09-01 Massachusetts 1774-12-14 New Hampshire 1775-04-19 Massachusetts 1775-04-19 Massachusetts 1775-04-20 Virgin..

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(calories_info) diet Protein Bar 125 Salade 215 Chocolate Bar 406 Chicken Breast 125 dtype: int641-1. 유니크 값의 개수를 포함하는 Series 반환 :: Series.value_counts( ) Series.value_counts( sort = True, # Tr..

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.Series(calories_info) diet Protein Bar 125 Salade 215 Chocolate Bar 406 dtype: int64diet.shape # diet의 차원 (3,)

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.Series(calories_info) diet Protein Bar 125 Salade 215 Chocolate Bar 406 dtype: int64diet.size # diet의 요소 개수 3

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.Series(calories_info) diet Protein Bar 125 Salade 215 Chocolate Bar 406 dtype: int64diet.dtype # diet의 값 데이터 유형 dtype('int64')

이미지 증식 import tensorflow as tf tf.keras.preprocessing.image.ImageDataGenerator( rescale = None, featurewise_center = False, samplewise_center = False, featurewise_std_normalization = False, samplewise_std_normalization = False, rotation_range = 0, width_shift_range = 0.0, height_shift_range = 0.0, brightness_range = None, # Tuple or list of two floats shear_range = 0.0, zoom_range = 0.0, channel..