import pandas
food_info = pandas.read_csv("food_info.csv")
print(type(food_info))
print(food_info.dtypes) #DataFame有三种结构，int型，float型，object型（sring类型）
# print (help(pandas.read_csv))
<class 'pandas.core.frame.DataFrame'> NDB_No int64 Shrt_Desc object Water_(g) float64 Energ_Kcal int64 Protein_(g) float64 Lipid_Tot_(g) float64 Ash_(g) float64 Carbohydrt_(g) float64 Fiber_TD_(g) float64 Sugar_Tot_(g) float64 Calcium_(mg) float64 Iron_(mg) float64 Magnesium_(mg) float64 Phosphorus_(mg) float64 Potassium_(mg) float64 Sodium_(mg) float64 Zinc_(mg) float64 Copper_(mg) float64 Manganese_(mg) float64 Selenium_(mcg) float64 Vit_C_(mg) float64 Thiamin_(mg) float64 Riboflavin_(mg) float64 Niacin_(mg) float64 Vit_B6_(mg) float64 Vit_B12_(mcg) float64 Vit_A_IU float64 Vit_A_RAE float64 Vit_E_(mg) float64 Vit_D_mcg float64 Vit_D_IU float64 Vit_K_(mcg) float64 FA_Sat_(g) float64 FA_Mono_(g) float64 FA_Poly_(g) float64 Cholestrl_(mg) float64 dtype: object
first_rows = food_info.head() print(first_rows) print(food_info.head(3)) print(food_info.tail())#显示后5行 print(food_info.columns) print(food_info.shape)
结果：
NDB_No Shrt_Desc Water_(g) Energ_Kcal Protein_(g) \ 0 1001 BUTTER WITH SALT 15.87 717 0.85 1 1002 BUTTER WHIPPED WITH SALT 15.87 717 0.85 2 1003 BUTTER OIL ANHYDROUS 0.24 876 0.28 3 1004 CHEESE BLUE 42.41 353 21.40 4 1005 CHEESE BRICK 41.11 371 23.24 Lipid_Tot_(g) Ash_(g) Carbohydrt_(g) Fiber_TD_(g) Sugar_Tot_(g) \ 0 81.11 2.11 0.06 0.0 0.06 1 81.11 2.11 0.06 0.0 0.06 2 99.48 0.00 0.00 0.0 0.00 3 28.74 5.11 2.34 0.0 0.50 4 29.68 3.18 2.79 0.0 0.51 ... Vit_A_IU Vit_A_RAE Vit_E_(mg) Vit_D_mcg Vit_D_IU \ 0 ... 2499.0 684.0 2.32 1.5 60.0 1 ... 2499.0 684.0 2.32 1.5 60.0 2 ... 3069.0 840.0 2.80 1.8 73.0 3 ... 721.0 198.0 0.25 0.5 21.0 4 ... 1080.0 292.0 0.26 0.5 22.0 Vit_K_(mcg) FA_Sat_(g) FA_Mono_(g) FA_Poly_(g) Cholestrl_(mg) 0 7.0 51.368 21.021 3.043 215.0 1 7.0 50.489 23.426 3.012 219.0 2 8.6 61.924 28.732 3.694 256.0 3 2.4 18.669 7.778 0.800 75.0 4 2.5 18.764 8.598 0.784 94.0 [5 rows x 36 columns] NDB_No Shrt_Desc Water_(g) Energ_Kcal Protein_(g) \ 0 1001 BUTTER WITH SALT 15.87 717 0.85 1 1002 BUTTER WHIPPED WITH SALT 15.87 717 0.85 2 1003 BUTTER OIL ANHYDROUS 0.24 876 0.28 Lipid_Tot_(g) Ash_(g) Carbohydrt_(g) Fiber_TD_(g) Sugar_Tot_(g) \ 0 81.11 2.11 0.06 0.0 0.06 1 81.11 2.11 0.06 0.0 0.06 2 99.48 0.00 0.00 0.0 0.00 ... Vit_A_IU Vit_A_RAE Vit_E_(mg) Vit_D_mcg Vit_D_IU \ 0 ... 2499.0 684.0 2.32 1.5 60.0 1 ... 2499.0 684.0 2.32 1.5 60.0 2 ... 3069.0 840.0 2.80 1.8 73.0 Vit_K_(mcg) FA_Sat_(g) FA_Mono_(g) FA_Poly_(g) Cholestrl_(mg) 0 7.0 51.368 21.021 3.043 215.0 1 7.0 50.489 23.426 3.012 219.0 2 8.6 61.924 28.732 3.694 256.0 [3 rows x 36 columns] NDB_No Shrt_Desc Water_(g) Energ_Kcal Protein_(g) \ 8613 83110 MACKEREL SALTED 43.00 305 18.50 8614 90240 SCALLOP (BAY&SEA) CKD STMD 70.25 111 20.54 8615 90480 SYRUP CANE 26.00 269 0.00 8616 90560 SNAIL RAW 79.20 90 16.10 8617 93600 TURTLE GREEN RAW 78.50 89 19.80 Lipid_Tot_(g) Ash_(g) Carbohydrt_(g) Fiber_TD_(g) Sugar_Tot_(g) \ 8613 25.10 13.40 0.00 0.0 0.0 8614 0.84 2.97 5.41 0.0 0.0 8615 0.00 0.86 73.14 0.0 73.2 8616 1.40 1.30 2.00 0.0 0.0 8617 0.50 1.20 0.00 0.0 0.0 ... Vit_A_IU Vit_A_RAE Vit_E_(mg) Vit_D_mcg Vit_D_IU \ 8613 ... 157.0 47.0 2.38 25.2 1006.0 8614 ... 5.0 2.0 0.00 0.0 2.0 8615 ... 0.0 0.0 0.00 0.0 0.0 8616 ... 100.0 30.0 5.00 0.0 0.0 8617 ... 100.0 30.0 0.50 0.0 0.0 Vit_K_(mcg) FA_Sat_(g) FA_Mono_(g) FA_Poly_(g) Cholestrl_(mg) 8613 7.8 7.148 8.320 6.210 95.0 8614 0.0 0.218 0.082 0.222 41.0 8615 0.0 0.000 0.000 0.000 0.0 8616 0.1 0.361 0.259 0.252 50.0 8617 0.1 0.127 0.088 0.170 50.0 [5 rows x 36 columns] Index(['NDB_No', 'Shrt_Desc', 'Water_(g)', 'Energ_Kcal', 'Protein_(g)', 'Lipid_Tot_(g)', 'Ash_(g)', 'Carbohydrt_(g)', 'Fiber_TD_(g)', 'Sugar_Tot_(g)', 'Calcium_(mg)', 'Iron_(mg)', 'Magnesium_(mg)', 'Phosphorus_(mg)', 'Potassium_(mg)', 'Sodium_(mg)', 'Zinc_(mg)', 'Copper_(mg)', 'Manganese_(mg)', 'Selenium_(mcg)', 'Vit_C_(mg)', 'Thiamin_(mg)', 'Riboflavin_(mg)', 'Niacin_(mg)', 'Vit_B6_(mg)', 'Vit_B12_(mcg)', 'Vit_A_IU', 'Vit_A_RAE', 'Vit_E_(mg)', 'Vit_D_mcg', 'Vit_D_IU', 'Vit_K_(mcg)', 'FA_Sat_(g)', 'FA_Mono_(g)', 'FA_Poly_(g)', 'Cholestrl_(mg)'], dtype='object') (8618, 36)