使用 map 函数提取值

你可以在下面看到我的数据集。我想转换此表并在一列 [Names] 中包含列的名称，具体取决于这些列是否具有某些值。

import pandas as pd
import numpy as np

data = { 
        'store_A': [100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_B': [0,100,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_C': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_D': [0,100,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_E': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_F': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_G': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_H': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_I': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_J': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_K': [0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100], 
        'store_L': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_M': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_N': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_O': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_P': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_Q': [100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100], 
        'store_R': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_S': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_T': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_U': [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], 
        'store_other': [100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100], 
       }


df = pd.DataFrame(data, columns = ['store_A','store_B','store_C','store_D','store_E','store_F','store_G','store_H','store_I','store_J','store_K',
                'store_L','store_M','store_N','store_O','store_P','store_Q','store_R','store_S','store_T','store_U','store_other'])


df

最后，我需要一列包含上述列，请参见下图：

那么有人可以帮我解决这个问题吗？