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我是熊猫的新用户。我用我的titanic csv文件(我从教程中获得)运行以下代码,命令titanic.sex按预期返回性行。熊猫选择列错误
titanic = pd.read_csv('/Users/eflannery/Dropbox/titanic.csv')
titanic.Sex
0 male
1 female
2 female
3 female
4 male
5 male
6 male
7 male
8 female
9 female
10 female
11 female
12 male
13 male
14 female
...
876 male
877 male
878 male
879 female
880 female
881 male
882 female
883 male
884 male
885 female
886 male
887 female
888 female
889 male
890 male
Name: Sex, Length: 891, dtype: object
如果我用我的一个csv文件运行相同的代码,它不会按预期方式拉出cov列。我检查了我的文件是csv。有任何想法吗?
sam = pd.read_csv('/Users/eflannery/Dropbox/Cartika/CNV_data/samFlags_NK65EvolB20_baseCounts2.csv')
sam.cov
<bound method DataFrame.cov of chrom pos cov
0 berg02 1 0
1 berg02 2 0
2 berg02 3 0
3 berg02 4 0
4 berg02 5 2
5 berg02 6 3
6 berg02 7 3
7 berg02 8 3
8 berg02 9 4
9 berg02 10 4
10 berg02 11 4
11 berg02 12 4
12 berg02 13 4
13 berg02 14 4
14 berg02 15 4
15 berg02 16 4
16 berg02 17 5
17 berg02 18 5
18 berg02 19 5
19 berg02 20 5
20 berg02 21 5
21 berg02 22 5
22 berg02 23 5
23 berg02 24 6
24 berg02 25 6
25 berg02 26 6
26 berg02 27 6
27 berg02 28 6
28 berg02 29 6
29 berg02 30 6
... ... ... ...
18433379 PBANKA_API 30273 25
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18433408 PBANKA_API 30302 2
[18433409 rows x 3 columns]>
请把dataframes小,包括每一个源文件的样本。 – dawg