利用pandas读取中文数据集的方法

编号,色泽,根蒂,敲声,纹理,脐部,触感,密度,含糖率,好瓜 
1,青绿,蜷缩,浊响,清晰,凹陷,硬滑,0.697,0.46,是 
2,乌黑,蜷缩,沉闷,清晰,凹陷,硬滑,0.774,0.376,是 
3,乌黑,蜷缩,浊响,清晰,凹陷,硬滑,0.634,0.264,是 
4,青绿,蜷缩,沉闷,清晰,凹陷,硬滑,0.608,0.318,是 
5,浅白,蜷缩,浊响,清晰,凹陷,硬滑,0.556,0.215,是 
6,青绿,稍蜷,浊响,清晰,稍凹,软粘,0.403,0.237,是 
7,乌黑,稍蜷,浊响,稍糊,稍凹,软粘,0.481,0.149,是 
8,乌黑,稍蜷,浊响,清晰,稍凹,硬滑,0.437,0.211,是 
9,乌黑,稍蜷,沉闷,稍糊,稍凹,硬滑,0.666,0.091,否 
10,青绿,硬挺,清脆,清晰,平坦,软粘,0.243,0.267,否 
11,浅白,硬挺,清脆,模糊,平坦,硬滑,0.245,0.057,否 
12,浅白,蜷缩,浊响,模糊,平坦,软粘,0.343,0.099,否 
13,青绿,稍蜷,浊响,稍糊,凹陷,硬滑,0.639,0.161,否 
14,浅白,稍蜷,沉闷,稍糊,凹陷,硬滑,0.657,0.198,否 
15,乌黑,稍蜷,浊响,清晰,稍凹,软粘,0.36,0.37,否 
16,浅白,蜷缩,浊响,模糊,平坦,硬滑,0.593,0.042,否 
17,青绿,蜷缩,沉闷,稍糊,稍凹,硬滑,0.719,0.103,否 

import pandas
d = pandas.read_csv(r"d:\data.csv",sep=",")
print(d)

d.head(1)

d['色泽']

d.head(1)['色泽']