python-递归Excel文件以从树结构中查找顶级项目

我正在尝试对数据集进行递归以找到最高级别的项目,即没有父项的项目.

结构如下：

╔════════════╦════════════╗
║    Item    ║  Material  ║
╠════════════╬════════════╣
║ 2094-00003 ║ MHY00007   ║
║ 2105-0001  ║ 2105-0002  ║
║ 2105-0002  ║ 2105-1000  ║
║ 2105-1000  ║ 2105-1003  ║
║ 2105-1003  ║ 7547-122   ║
║ 7932-00001 ║ 7932-00015 ║
║ 7932-00002 ║ 7932-00015 ║
║ 7932-00010 ║ MHY00007   ║
║ 7932-00015 ║ 7932-05000 ║
║ 7932-05000 ║ MHY00007   ║
╚════════════╩════════════╝

因此,例如,如果我选择7547-122,则该函数将返回2105-0001.因此,函数向上递归地跟随树,7547-122-> 2105-1003-> 2105-1000-> …-> 2105-0001.

如我从MHY00007案例所见,运行代码时,我只能使它返回一个顶层.有时,有多个顶层.如何返回给定材料具有的所有顶层的列表？

我的代码：

import pandas as pd


class BillOfMaterials:

    def __init__(self, bom_excel_path):
        self.df = pd.read_excel(bom_excel_path)
        self.df = self.df[['Item', 'Material']]

    def find_parents(self, part_number):
        material_parent_search = self.df[self.df.Material == part_number]

        parents = list(set(material_parent_search['Item']))

        return parents

    def find_top_levels(self, parents):

        top_levels = self.__ancestor_finder_([parents])

        print(f'{parents} top level is {top_levels}')
        return {parents: top_levels}

    def __ancestor_finder_(self, list_of_items):

        for ancestor in list_of_items:
            print(f'Searching for ancestors of {ancestor}')
            ancestors = self.find_parents(ancestor)
            print(f'{ancestor} has ancestor(s) {ancestors}')

            if not ancestors:
                return ancestor
            else:
                highest_level = self.__ancestor_finder_(ancestors)
        return highest_level


BOM = BillOfMaterials(bom_excel_path="Path/To/Excel/File/BOM.xlsx")

ItemsToSearch = ['7547-122', 'MHY00007']

top_levels = []
for item in ItemsToSearch:
    top_levels.append(BOM.find_top_levels(item))

解决方法:

是的,您可以递归执行此操作,例如：

import pandas as pd


class BillOfMaterials:

    def __init__(self, bom_excel_path):
        self.df = pd.read_excel(bom_excel_path)
        self.df = self.df[['Item', 'Material']]

    def find_parents(self, part_number):
        return list(set(self.df[self.df.Material == part_number]['Item']))

    def find_top_levels(self, item):
        parents = self.find_parents(item)
        if not parents:
            # there are no parent items => this item is a leaf
            return [item]
        else:
            # there are parent items => recursively find grandparents
            grandparents = []
            for parent in parents:
                grandparents = grandparents + self.find_top_levels(parent)
            return grandparents


if __name__ == '__main__':
    BOM = BillOfMaterials(bom_excel_path="testdata.xlsx")
    ItemsToSearch = ['7547-122', 'MHY00007']

    for i in ItemsToSearch:
        print('')
        print('The top levels of ' + i + ' are: ')
        print(BOM.find_top_levels(i))

注意self.find_top_levels(parent)的递归调用.
这将给出输出

The top levels of 7547-122 are: 
['2105-0001']

The top levels of MHY00007 are: 
['2094-00003', '7932-00001', '7932-00002', '7932-00010']