Python:如何将嵌套字典打印为具有可变行的复杂 table?

Python: How to print a nested dictionary as a complex table with variable rows?

假设我有这个嵌套字典:

d = {'Ben': {'wo_mana': ['Strength = 1.10', 'Speed = 1.50'], 'wi_mana': ['Int = 1.20'], 'Skill': 'true', 'Magic': 'false'},
     'Tom': {'wi_mana': ['Int = 1.40'], 'wo_mana': ['Agility = 1.60'], 'Skill': 'true', 'Magic': 'true'}}

key和value不是我自己定义的,其实是从一个文件中提取出来的数据

SkillMagic的取值个数是固定的,即1。

但是wo_manawi_mana的取值个数是不固定的,可以是1、2、3、4等

在上面的示例中,wo_mana 有 2 个值 Ben

我的目标是将其打印在 table 中(用制表符分隔),当在 Excel 中打开时,它看起来像这样:

Name Skill Magic wo_mana          wi_mana
Ben  true  false Strength = 1.10  Int = 1.20
                 Speed = 1.50
Tom  true  true  Agility = 1.60   Int = 1.40

请注意,对于每个人,wo_manawi_mana 列可以有多行。

我试过使用csv模块,我的代码:

import csv, itertools

header = ['Name', 'Skill', 'Magic', 'wo_mana', 'wi_mana']

with open('output.csv', 'w') as f:
    w = csv.DictWriter(f, header)
    w.writeheader()
    for key, val in sorted(d.items()):
        row = {'Name': key}
        row.update(val)
        w.writerow(row)

我的输出:

Name,Skill,Magic,wo_mana,wi_mana
Ben,true,false,"['Strength = 1.10', 'Speed = 1.50']",['Int = 1.20']
Tom,true,true,['Agility = 1.60'],['Int = 1.40']

所以使用csv

打印多行部分看起来不是suitable

所以也许我必须使用 string formatting?有谁知道如何打印 table 这样的?任何帮助将不胜感激。

给你(已编辑):

import csv, itertools
d = {'Ben': {'wo_mana': ['Strength = 1.10'], 'wi_mana': ['Int = 1.20'], 'Skill': 'true', 'Magic': 'false'},
     'Tom': {'wi_mana': ['Int = 1.40'], 'wo_mana': ['Agility = 1.60'], 'Skill': 'true', 'Magic': 'true'}}


header = ['Name', 'Skill', 'Magic', 'wo_mana', 'wi_mana']

with open('output.csv', 'w') as f:
    w = csv.DictWriter(f, header)
    w.writeheader()
    for key, val in sorted(d.items()):
        row = {'Name': key}
        # print val


        wo_mana = [item for item in val['wo_mana']]
        wi_mana = [item for item in val['wi_mana']]
        val['wo_mana'] = wo_mana[0]
        val['wi_mana'] = wi_mana[0]    

        row.update(val)
        w.writerow(row)
        dict_list = []
        if len(wi_mana) > len(wo_mana):

            for index, item in enumerate(wo_mana):
                dict_ = {}
                dict_['wi_mana'] = wi_mana[index]
                dict_['wo_mana'] = wo_mana[index]
                # print dict_

                dict_list.append(dict_)
            [dict_list.append({'wi_mana': item}) for item in wi_mana[len(wo_mana):]]
        else:

            for index, item in enumerate(wi_mana):
                dict_ = {}
                dict_['wi_mana'] = wi_mana[index]
                dict_['wo_mana'] = wo_mana[index]
                # print dict_
                dict_list.append(dict_)
            [dict_list.append({'wo_mana': item}) for item in wo_mana[len(wi_mana):]]
        # print dict_list
        if len(dict_list) > 1:
            [w.writerow(dict_) for dict_ in dict_list[1:]]

这行得通!让我知道。

编辑: 根据问题:

However, the number of values for wo_mana and wi_mana is unfixed, which can be 1, 2, 3, 4 etc.

所以我假设不会有 KeyError。 根据评论中的修改语句这里是解决方案:

它没有针对各种条件进行适当的测试,根据我从评论中了解到它工作正常,如果有任何问题请告诉我:

import csv, itertools
d = {'Ben': {'Skill': 'true', 'Magic': 'false'},
     'Tom': {'wo_mana': ['Strength = 1.10'], 'wi_mana': ['Int = 1.20', 'O_o'], 'mana': ['Int = 1.20', 'dsadas', 'whatever', '-_-'], 'Skill': 'true', 'Magic': 'true'}}


header = ['Name', 'Skill', 'Magic', 'wo_mana', 'wi_mana', 'mana']

with open('output.csv', 'w') as f:
    w = csv.DictWriter(f, header)
    w.writeheader()
    for key, val in sorted(d.items()):
        row = {'Name': key}
        # print val
        row.update(val)
        dictionary_containing_list = {key: val[key] for key in val if type(val[key])==list}
        if dictionary_containing_list:
            max_length = len(max(dictionary_containing_list.iteritems(), key=lambda x: len(x[1]))[1])
            dict_list = []
            for i in range(max_length):
                dict_ = {}
                for key, val_list in dictionary_containing_list.iteritems():
                    try:
                        dict_[key] = val_list[i]
                    except IndexError:
                        pass
                dict_list.append(dict_)
                row.update(dict_list[0])
            print dict_list
        w.writerow(row)
        if dictionary_containing_list:
            [w.writerow(dict_) for dict_ in dict_list[1:]]

该解决方案非常通用,您可以添加任意数量的 manas/ 列,它会起作用。请记住将准确的列名附加到 header 列表中!