按照特定模式从列中提取字符串

问题描述

在没有太多背景信息或无法访问您的数据的情况下,我建议遵循以下原则。首先,修改读取数据的代码

df = pd.read_csv(..., header=None, names=['RegionName']) 
# add header=False so as to read the first row as data

现在,使用提取状态名称str.extract,这仅应提取名称,只要该名称后接子字符串“ [edit]”即可。然后,您可以使用来填充所有NaN值ffill

df['State'] = df['RegionName'].str.extract(
    r'(?P<State>.*)(?=\s*\[edit\])'
).ffill()

解决方法

请原谅我的熊猫新手问题,但我有一列美国城镇和州,例如下面所示的截短的版本(出于某些奇怪的原因,该列的名称称为“ Alabama
[edit]”,该列与第一个列中的0-7城镇值):

0                          Auburn (Auburn University)[1]
1                 Florence (University of North Alabama)
2        Jacksonville (Jacksonville State University)[2]
3             Livingston (University of West Alabama)[2]
4               Montevallo (University of Montevallo)[2]
5                              Troy (Troy University)[2]
6      Tuscaloosa (University of Alabama,Stillman Co...
7                      Tuskegee (Tuskegee University)[5]
8                                           Alaska[edit]
9          Fairbanks (University of Alaska Fairbanks)[2]
10                                         Arizona[edit]
11            Flagstaff (Northern Arizona University)[6]
12                      Tempe (Arizona State University)
13                        Tucson (University of Arizona)
14                                        Arkansas[edit]
15     Arkadelphia (Henderson State University,Ouach...
16     Conway (Central Baptist College,Hendrix Colle...
17              Fayetteville (University of Arkansas)[7]
18              Jonesboro (Arkansas State University)[8]
19            Magnolia (Southern Arkansas University)[2]
20     Monticello (University of Arkansas at Monticel...
21            Russellville (Arkansas Tech University)[2]
22                        Searcy (Harding University)[5]
23                                      California[edit]

每个州的城镇均在每个州名称之下,例如,费尔班克斯(列值9)是阿拉斯加州的一个城镇。

我想要做的是根据州名称拆分城镇名称,这样我就有两列“州”和“地区名称”,其中每个州名称与每个城镇名称相关联,如下所示:

                            RegionName                       State
0                          Auburn (Auburn University)[1]    Alabama
1                 Florence (University of North Alabama)    Alabama
2        Jacksonville (Jacksonville State University)[2]    Alabama
3             Livingston (University of West Alabama)[2]    Alabama
4               Montevallo (University of Montevallo)[2]    Alabama
5                              Troy (Troy University)[2]    Alabama
6      Tuscaloosa (University of Alabama,Stillman Co...    Alabama
7                      Tuskegee (Tuskegee University)[5]    Alabama

8         Fairbanks (University of Alaska Fairbanks)[2]     Alaska

9         Flagstaff (Northern Arizona University)[6]        Arizona
10                      Tempe (Arizona State University)    Arizona
11                        Tucson (University of Arizona)    Arizona

12        Arkadelphia (Henderson State University,Ouach... Arkansas

。。。等等。

我知道每个州名后面都有一个字符串“ [edit]”,我认为我可以用它来分割和分配城镇名。但是我不知道该怎么做。

另外,我知道我还需要进行许多其他数据清理工作,例如删除括号内和方括号“
[]”中的字符串。以后可以做…重要的部分是将州和镇分开,并将每个镇分配给其适当的美国。我们将不胜感激任何建议。