需要python字典循环协助 [英] Need python dictionary loop assistance
问题描述
我没有做过很多Python编程,我试图读入一个基本的csv,然后从它创建一个嵌套字典。这是我到目前为止,我似乎有一些问题循环或覆盖我的字典。我知道这不是很有效率。
I have not done a lot of Python programming and am attempting to read in a basic csv then create a nested dictionary from it. Here is what I have so far and I seem to have some issues with looping or overwriting my dict. I know it's not very efficient.
import csv
reader = csv.DictReader(open("fruit.csv"))
fruit_dict = {}
color_dict = {}
for row in reader:
info_list = []
count = row.pop('count')
info_list.append(count)
year = row.pop('year')
info_list.append(year)
info = row.pop('info')
info_list.append(info)
if row['color'] not in color_dict:
#print row['color']
color_dict['color'] = row['color']
#print fruit_dict
if row['fruit'] not in fruit_dict:
fruit_dict['name'] = row['fruit']
#print fruit_dict
#print info_list
list_of_info_lists =[]
list_of_info_lists.append(info_list)
fruit_dict['fruitInfo'] = list_of_info_lists
color_dict['fruit'] = fruit_dict
#print color_dict
else:
list_of_info_lists.append(info_list)
fruit_dict['fruitInfo'] = list_of_info_lists
color_dict['fruit'] = fruit_dict
#print color_dict
else:
if row['color'] in color_dict:
if row['fruit'] not in fruit_dict:
fruit_dict['name'] = row['fruit']
#print fruit_dict
#print info_list
list_of_info_lists =[]
list_of_info_lists.append(info_list)
fruit_dict['fruitInfo'] = list_of_info_lists
color_dict['fruit'] = fruit_dict
#print color_dict
else:
list_of_info_lists.append(info_list)
fruit_dict['fruitInfo'] = list_of_info_lists
color_dict['fruit'] = fruit_dict
#print color_dict
#print color_dict
这里是csv:
color,fruit,year,count,info
red,apple,1970,3,good
red,apple,1922,5,okay
orange,orange,1935,2,okay
green,celery,2001,22,marginal
red,cherries,1999,5,outstanding
orange,carrot,1952,7,okay
green,celery,2014,2,good
green,grapes,2001,12,good
我得到的是:
{'color': 'green', 'fruit': {'name': 'grapes', 'fruitInfo': [['12', '2001', 'good']]}}
这是可爱的,除了我期待几行,当'name'已经存在时,期望列表的列表,例如:
Which is lovely except that I am expecting a few more lines than that and am expecting a list of lists when the 'name' already exists for example:
{'color': 'red', 'fruit': {'name': 'apple', 'fruitInfo': [['5', '1922', 'okay'],['3', '1970', 'good']]}}
任何建议都非常感谢。最终的目标是生成一个json文件。
Any advice would be greatly appreciated. The eventual goal is generate a json file.
谢谢,
susan
Thanks, susan
我想要到底:
[{'color': 'red', 'fruit': {'name': 'apple', 'fruitInfo': [['5', '1922', 'okay'],['3', '1970', 'good']]}},
{'color': 'red', 'fruit': {'name': 'cherries', 'fruitInfo': [['5', '1999', 'outstanding']]}},
{'color': 'orange', 'fruit': {'name': 'orange', 'fruitInfo': [['2', '1935', 'okay']]}},
{'color': 'orange', 'fruit': {'name': 'carrot', 'fruitInfo': [['7', '1952', 'okay']]}},
{'color': 'green', 'fruit': {'name': 'celery', 'fruitInfo': [['2', '2014', 'good'],['22', '2001', 'marginal']]}},
{'color': 'green', 'fruit': {'name': 'grapes', 'fruitInfo': [['12', '2001', 'good']]}}]
推荐答案
在处理字典的字典时,我的模式是这样的: / p>
When dealing with dictionaries of dictionaries, my pattern is like this:
sub_dict = main_dict.get(key, {})
sub_dict[sub_key] = sub_value
main_dict[key] = sub_dict
这将获取子字典,或 {} / code>如果它不存在。
This gets the sub-dictionary, or {}
if it doesn't exist. Then it assigns a value to the sub-dictionary, and puts the sub-dictionary back into the main dictionary.
fruit_dict = {}
for row in reader:
# make the info_list
info_list = [row['count'], row['year'], row['info']]
# extract color and fruit into variables
color = row['color']
fruit = row['fruit']
# unpack the dictionaries and list
colors = fruit_dict.get(color, {})
fruits = colors.get(fruit, {})
info = fruits.get('info', [])
# reassemble the list and dictionaries
info.append(info_list)
fruits['info'] = info
colors[fruit] = fruits
fruit_dict[color] = colors
结果与您的示例稍有不同,但有必要更改它以使用颜色和水果作为键。
The result is a little different than your example, but it's necessary to change it to use the color and fruit as keys.
{'orange':{'orange':{'info':[['2','1935','okay']]},'carrot ':{'info':[['22','2001','''''')边缘'],['''''''''''''''''' :{'cherries':{'info':[['5','1999','outstanding']],'apple':{'info':[['3','1970' ],['5','1922','okay']]}}}
{'orange': {'orange': {'info': [['2', '1935', 'okay']]}, 'carrot': {'info': [['7', '1952', 'okay']]}}, 'green': {'celery': {'info': [['22', '2001', 'marginal'], ['2', '2014', 'good']]}, 'grapes': {'info': [['12', '2001', 'good']]}}, 'red': {'cherries': {'info': [['5', '1999', 'outstanding']]}, 'apple': {'info': [['3', '1970', 'good'], ['5', '1922', 'okay']]}}}
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