find all - 查找数据框的一列与其他匹配模式的所有匹配项,并获得相应的值

find all - to find all occurrence of matching pattern one column of a data frame to other and get the corresponding value

我正在处理一个需求,有 2 个 CSV 如下 -

CSV.csv

    Short Description                                                    Category
    Device is DOWN!                                                      Server Down
    CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization
    CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization
    CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization
    CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization
    Device Performance Alerts was triggered on Physical memory           Memory Utilization
    Device Performance Alerts was triggered on Physical memory           Memory Utilization
    Device Performance Alerts was triggered on Physical memory           Memory Utilization
    Disk Space Is Lowon ;E:                                              Disk Space Utilization
    Disk Space Is Lowon;C:                                               Disk Space Utilization
    Network Interface Down                                               Interface Down


and reference.csv

    Category                         Complexity
    Server Down                      Simple
    Network Interface down           Complex
    Drive Cleanup Windows            Medium
    CPU Utilization                  Medium
    Memory Utilization               Medium
    Disk Space Utilization Unix      Simple
    Windows Service Restart          Medium
    UNIX Service Restart             Medium
    Web Tomcat Instance Restart      Simple

Expected Output

Short Description                                                    Category                    Complexity
Device is DOWN!                                                      Server Down                 Simple
CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization             Medium
CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization             Medium
CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization             Medium
CPU Warning Monitoron  XSSXSXSXSXSX.com                              CPU Utilization             Medium
Device Performance Alerts was triggered on Physical memory           Memory Utilization          Medium
Device Performance Alerts was triggered on Physical memory           Memory Utilization          Medium
Device Performance Alerts was triggered on Physical memory           Memory Utilization          Medium
Disk Space Is Lowon ;E:                                              Disk Space Utilization      Medium
Disk Space Is Lowon;C:                                               Disk Space Utilization      Medium
Network Interface Down                                               Interface Down              Complex

现在,我需要查询 CSV1.csv 并选择 'Category' 的值,并在 reference.csvCategory 列中查找所有可能的匹配项并获得相应的 'Complexity' 来自 reference.csv 并将数据放在 CSV1.csv.

的每个类别中

我正在使用 find.all 来实现这一点。我无法按预期那样做。有没有更好的方法来达到同样的效果。

我尝试使用 disct 函数,但没有给出预期的结果。

一种可能的方法:

my_dict = dict(zip(reference_df['Category'].values, reference_df['Complexity'].values))

def match_key(key, default_value):
    for d_key in my_dict.keys():
        if key in d_key or d_key in key:
            return my_dict[d_key]

    return default_value

CSV1_df['Complexity'] = CSV1_df['Category'].apply(lambda x: match_key(x, 'default'))

解释:

  1. 通过压缩参考 Dataframe 中的 CategoryComplexity 列构建一个 dict,即 {'Server Down': 'Simple', 'Network Interface down': 'Complex'...}
  2. 使用 applylambda 函数使用每个 Category 从字典中获取相应的 Complexity 值CSV1 中的值 Dataframe 作为键
  3. 我们定义一个函数来查找 CSV1 Category 中的值 Dataframe 是否是字典中任何键的子字符串,反之亦然,并在 apply
  4. 将其保存到 CSV1 中的新列 Dataframe