Python 在re.findall搜索后，我应该得到的行数减少或增加

我有未处理的文本，我想从中提取患者的性别，但最终我的行数不是更少就是更多，我应该如何处理此类错误

fil = data['transcription']
print(fil)

输出：

0       SUBJECTIVE:,  This 23-year-old white female pr...
1       PAST MEDICAL HISTORY:, He has difficulty climb...
2       HISTORY OF PRESENT ILLNESS: , I have seen ABC ...
3       2-D M-MODE: , ,1.  Left atrial enlargement wit...
4       1.  The left ventricular cavity size and wall ...
                              ...                        
4994    HISTORY:,  I had the pleasure of meeting and e...
4995    ADMITTING DIAGNOSIS: , Kawasaki disease.,DISCH...
4996    SUBJECTIVE: , This is a 42-year-old white fema...
4997    CHIEF COMPLAINT: , This 5-year-old male presen...
4998    HISTORY: , A 34-year-old male presents today s...
Name: transcription, Length: 4999, dtype: object

4967 or 5032 #it should be 4999 when i do print(len(gender_aux))
['female', 'male', 'male', ' ', 'male', 'male', 'male', 'male', 'male', ' ', 'male'...]

这是从文本中提取性别的代码

import re

gender_aux = []
for i in fil:

    try:
        gender = re.findall("female|gentleman|woman|lady|man|male|girl|boy|she|he", i) or [" "]
    except:
        gender_aux.append(' ')
#         pass

    gender_dict = {"male": ["gentleman", "man", "male", "boy",'he'],
               "female": ["lady","female", "woman", "girl",'she']}

    for g in gender:
        if g in gender_dict['male']:
            gender_aux.append('male')
            break
        elif g in gender_dict['female']:
            gender_aux.append('female')
            break
        else:
            gender_aux+=[' ']
            break
print(len(gender_aux))            
print(gender_aux)

如果我删除或[“”]或其他则得到4967 ，否则我将得到5032个实例，实际上我将收到4999个total实例

输出：

0       SUBJECTIVE:,  This 23-year-old white female pr...
1       PAST MEDICAL HISTORY:, He has difficulty climb...
2       HISTORY OF PRESENT ILLNESS: , I have seen ABC ...
3       2-D M-MODE: , ,1.  Left atrial enlargement wit...
4       1.  The left ventricular cavity size and wall ...
                              ...                        
4994    HISTORY:,  I had the pleasure of meeting and e...
4995    ADMITTING DIAGNOSIS: , Kawasaki disease.,DISCH...
4996    SUBJECTIVE: , This is a 42-year-old white fema...
4997    CHIEF COMPLAINT: , This 5-year-old male presen...
4998    HISTORY: , A 34-year-old male presents today s...
Name: transcription, Length: 4999, dtype: object

4967 or 5032 #it should be 4999 when i do print(len(gender_aux))
['female', 'male', 'male', ' ', 'male', 'male', 'male', 'male', 'male', ' ', 'male'...]

---

我注意到您没有转换到

lower（）

或

flags=re.IGNORECASE

，这可能会影响您的最终字数

主要问题是当

re.findall

与字符串中的任何性别不匹配时，您的 for循环最终将无法运行。为了避免这种情况，我检查是否有来自的匹配项

re.findall

在该行上，如果没有，只需附加空白字符串即可

import pandas as pd
import re

text = pd.Series([
    "SUBJECTIVE:,  This 23-year-old white female pr...",
    "PAST MEDICAL HISTORY:, He has difficulty climb...",
    "HISTORY OF PRESENT ILLNESS: , I have seen ABC ...",
    "2-D M-MODE: , ,1.  Left atrial enlargement wit...",
    "1.  The left ventricular cavity size and wall ...",
    "HISTORY:,  I had the pleasure of meeting and e...",
    "ADMITTING DIAGNOSIS: , Kawasaki disease.,DISCH...",
    "SUBJECTIVE: , This is a 42-year-old white fema...",
    "CHIEF COMPLAINT: , This 5-year-old male presen...",
    "HISTORY: , A 34-year-old male presents today s..."
])

gender_dict = {"male": ["gentleman", "man", "male", "boy",'he'],
               "female": ["lady","female", "woman", "girl",'she']}

gender_aux = []
for line in text:
    gender = re.findall("female|gentleman|woman|lady|man|male|girl|boy|she|he", line.lower())

    if len(gender):
        for g in gender:
            if g in gender_dict['male']:
                gender_aux.append('male')
                break
            elif g in gender_dict['female']:
                gender_aux.append('female')
                break
    else: # no gender match
        gender_aux.append(' ')

print(len(gender_aux))
print(gender_aux)

输出

10
['female', 'male', ' ', ' ', 'male', 'male', ' ', ' ', 'male', 'male']

---

请提供一个。我忘了添加：为什么不利用Pandas为此提供的功能？@AMC哪个功能？0.oPandas提供了一些正则表达式/文本操作方法。你不能使用命名的捕获组或两个不同的正则表达式，并大大简化事情吗？我试试看。