首页 > 解决方案 > 提取单词直到某个符号

问题描述

嗨,我有这个 uniprot gff 数据,看起来像

+--------+--------+-------+------+------------------------------------------------------------------------------------------------------+
| Entry  | check  | start | end  |                                               Domains                                               |
+--------+--------+-------+------+------------------------------------------------------------------------------------------------------+
| O75581 | Repeat |    63 |  106 |  Note=LDL-receptor class B 1                                                                         |
| O75581 | Repeat |   150 |  193 |  Note=LDL-receptor class B 3                                                                         |
| O75581 | Domain |   282 |  324 |  Note=EGF-like 1                                                                                     |
| O75581 | Domain |  1248 | 1286 |  Note=LDL-receptor class A 1;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00124 |
| O75581 | Domain |  1287 | 1323 |  Note=LDL-receptor class A 2;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00124 |
| O75581 | Domain |  1325 | 1361 |  Note=LDL-receptor class A 3;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00124 |
| P13688 | Domain |    35 |  142 |  Note=Ig-like V-type;Ontology_term=ECO:0000250;evidence=ECO:0000250|UniProtKB:P31997                 |
| P13688 | Domain |   145 |  232 |  Note=Ig-like C2-type 1;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00114      |
| P13688 | Domain |   237 |  317 |  Note=Ig-like C2-type 2;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00114      |
| P13688 | Domain |   323 |  413 |  Note=Ig-like C2-type 3;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00114      |
| P19022 | Domain |   160 |  267 |  Note=Cadherin 1;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00043             |
| P19022 | Domain |   268 |  382 |  Note=Cadherin 2;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00043             |
| P19022 | Domain |   383 |  497 |  Note=Cadherin 3;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00043             |
| Q13586 | Domain |   132 |  200 |  Note=SAM;Ontology_term=ECO:0000255;evidence=ECO:0000255|PROSITE-ProRule:PRU00184                    |
| P04629 | Repeat |    90 |  113 |  Note=LRR 1                                                                                          |
| P04629 | Repeat |   116 |  137 |  Note=LRR 2                                                                                          |
+--------+--------+-------+------+------------------------------------------------------------------------------------------------------+

我正在尝试提取域名列df['Domains]。使用以下代码,我接近获得域名的前 2 3 个单词,但不能普遍使用。

for row in df['Domains']:
    print(re.findall(r'Note=(\w*)(.?)(\w*)', row))

这给出了这样的东西

[('LDL', '-', 'receptor')]
[('LDL', '-', 'receptor')]
[('EGF', '-', 'like')]
[('Ig', '-', 'like')]
[('Ig', '-', 'like')]`

所以,我希望改变我的方法,让一切都在行后开始,在行Note=;或行尾结束。我怎样才能得到这个?

标签: pythonregexfindall

解决方案


请您尝试以下操作。

for row in df['Domains']:
    print(re.findall(r'Note=([^;]*)', row))

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