Question

下面是我的输入数据框

df = pd.DataFrame({'Level_DB': ['Level 1 Experienced' ,'Level 2 Expert', 'Level 1 Experienced', 'Level 2 Expert', 'Level 3 Thought Leader', 'Level 1 Experienced', 'Non-Certified', 'Level 3 Thought Leader', 'Certified', 'Certified', np.nan, 'Level 1 Experienced'], 
                    'Level_Legacy' :[ 'Certified', 'Level 1 Experienced', 'Level 3 Thought Leader', 'Level 3 Thought Leader Recert', 'Level 3 Thought Leader Recert', 'Non-Certified', 'non-certified', 'Level 2 Expert Recert', 'Level 1 Experienced', 'Non-Certified', 'Certified', '']})

然后，在比较两个输入列“ Level_DB”和“ Level_Legacy”并选择最高优先级值之后，应生成目标列：“输出”。优先级列表如下

priority_List = ['Level 3 Thought Leader', 'Level 3 Thought Leader New', 'Level 3 Thought Leader Recert', 'Level 3 Thought Leader Recert Lapsed',
                 'Level 2 Expert', 'Level 2 Expert New', 'Level 2 Expert Recert', 'Level 2 Expert Recert Lapsed',
                 'Level 1 Experienced', 'Level 1 Experienced New', 'Level 1 Experienced Recert', 'Level 1 Experienced Recert Lapsed', 'Certified', 'Non-Certified' , 'non-certified']

期望的最终DataFrame具有所需的“输出”列，如下所示：

一开始我什么都没打。请帮助

Answer 1

创建的想法ordered categoricals，其重整形状为DataFrame.stack，因此输出是每个max的{{1}}值：

level=0

Answer 2

我们可以在Series.map处enumerating处使用priority_list，以获得最低的索引，该索引的顺序最高：

dct_priority = {j:i for i, j in enumerate(priority_List)}
dct_priority_reverse = {i:j for i, j in enumerate(priority_List)}

df['Output'] = df.apply(lambda x: x.map(dct_priority)).min(axis=1).map(dct_priority_reverse)

                  Level_DB                   Level_Legacy                         Output
0      Level 1 Experienced                      Certified            Level 1 Experienced
1           Level 2 Expert            Level 1 Experienced                 Level 2 Expert
2      Level 1 Experienced         Level 3 Thought Leader         Level 3 Thought Leader
3           Level 2 Expert  Level 3 Thought Leader Recert  Level 3 Thought Leader Recert
4   Level 3 Thought Leader  Level 3 Thought Leader Recert         Level 3 Thought Leader
5      Level 1 Experienced                  Non-Certified            Level 1 Experienced
6            Non-Certified                  non-certified                  Non-Certified
7   Level 3 Thought Leader          Level 2 Expert Recert         Level 3 Thought Leader
8                Certified            Level 1 Experienced            Level 1 Experienced
9                Certified                  Non-Certified                      Certified
10                     NaN                      Certified                      Certified
11     Level 1 Experienced                                           Level 1 Experienced

熊猫-比较2列并根据优先级选择值

2 个答案: