通过pandas导入.data文件数据，创建DataFrome之后输出是Nan
用代码块功能插入代码，请勿粘贴截图
da = pd.read_csv('breast-cancer-wisconsin.data')
data = pd.DataFrame(da,columns=['Sample code number','Clump Thickness','Uniformity of Cell Size ','Uniformity of Cell Shape ','Marginal Adhesion ','Single Epithelial Cell Size','Bare Nuclei','Bland Chromatin','Normal Nucleoli','Mitoses','Class',dtype=str])
print(data)
数据
1000025,5,1,1,1,2,1,3,1,1,2
1002945,5,4,4,5,7,10,3,2,1,2
1015425,3,1,1,1,2,2,3,1,1,2
1016277,6,8,8,1,3,4,3,7,1,2
1017023,4,1,1,3,2,1,3,1,1,2
1017122,8,10,10,8,7,10,9,7,1,4
1018099,1,1,1,1,2,10,3,1,1,2
1018561,2,1,2,1,2,1,3,1,1,2
1033078,2,1,1,1,2,1,1,1,5,2
1033078,4,2,1,1,2,1,2,1,1,2
1035283,1,1,1,1,1,1,3,1,1,2
1036172,2,1,1,1,2,1,2,1,1,2
1041801,5,3,3,3,2,3,4,4,1,4
1043999,1,1,1,1,2,3,3,1,1,2
1044572,8,7,5,10,7,9,5,5,4,4
1047630,7,4,6,4,6,1,4,3,1,4
1048672,4,1,1,1,2,1,2,1,1,2
1049815,4,1,1,1,2,1,3,1,1,2
1050670,10,7,7,6,4,10,4,1,2,4
1050718,6,1,1,1,2,1,3,1,1,2
1054590,7,3,2,10,5,10,5,4,4,4
1054593,10,5,5,3,6,7,7,10,1,4
1056784,3,1,1,1,2,1,2,1,1,2
1057013,8,4,5,1,2,?,7,3,1,4
1059552,1,1,1,1,2,1,3,1,1,2
1065726,5,2,3,4,2,7,3,6,1,4
运行结果及报错内容
Sample code number Clump Thickness Uniformity of Cell Size Uniformity of Cell Shape Marginal Adhesion Single Epithelial Cell Size Bare Nuclei Bland Chromatin Normal Nucleoli Mitoses Class
0 nan nan nan nan nan nan nan nan nan nan nan
1 nan nan nan nan nan nan nan nan nan nan nan
2 nan nan nan nan nan nan nan nan nan nan nan
