什么是这个列表转换成字典的最佳方式(my_dict称呼它),因此它可以被索引这样?
my_dict[i]['name']
my_dict[i]['stars']
my_dict[i]['price']
基本上my_dict[0]
会给我约'CalaBar & Grill'
一切。
这里的列表:
[['CalaBar & Grill', '4.0 star rating', '$$'],
['Red Chili Cafe', '4.0 star rating', '$$'],
['Gus’s World Famous Fried Chicken', '4.0 star rating', '$$'],
['South City Kitchen - Midtown', '4.5 star rating', '$$'],
['Mary Mac’s Tea Room', '4.0 star rating', '$$'],
['Busy Bee Cafe', '4.0 star rating', '$$'],
['Richards’ Southern Fried', '4.0 star rating', '$$'],
['Greens & Gravy', '3.5 star rating', '$$'],
['Colonnade Restaurant', '4.0 star rating', '$$'],
['South City Kitchen Buckhead', '4.5 star rating', '$$'],
['Poor Calvin’s', '4.5 star rating', '$$'],
['Rock’s Chicken & Fries', '4.0 star rating', '$'],
['Copeland’s', '3.5 star rating', '$$']]
这应该工作:
# The list
my_list = [['CalaBar & Grill', '4.0 star rating', '$$'], \
['Red Chili Cafe', '4.0 star rating', '$$'],\
['Gus’s World Famous Fried Chicken', '4.0 star rating', '$$'],\
['South City Kitchen - Midtown', '4.5 star rating', '$$'],\
['Mary Mac’s Tea Room', '4.0 star rating', '$$'],\
['Busy Bee Cafe', '4.0 star rating', '$$'],\
['Richards’ Southern Fried', '4.0 star rating', '$$'],\
['Greens & Gravy', '3.5 star rating', '$$'],\
['Colonnade Restaurant', '4.0 star rating', '$$'],\
['South City Kitchen Buckhead', '4.5 star rating', '$$'],\
['Poor Calvin’s', '4.5 star rating', '$$'],\
['Rock’s Chicken & Fries', '4.0 star rating', '$'],\
['Copeland’s', '3.5 star rating', '$$']]
# initialize an empty list
my_dict = []
# create list of dictionary
for elem in my_list:
temp_dict = {}
temp_dict['name'] = elem[0]
temp_dict['stars'] = elem[1]
temp_dict['price'] = elem[2]
my_dict.append(temp_dict)
# testing
print(my_dict[1]['stars'])
print(my_dict[5]['price'])
print(my_dict[0]['name'])
print(my_dict[7]['stars'])
这里有一个方法与列表理解来做到这一点,在香草蟒蛇。假设你给存储在my_list
二维列表:
keys = ['name', 'stars', 'price']
my_dict = [dict(zip(keys, values)) for values in my_list]
所述zip(k, v)
需要两个列表并且将它们映射到一个类似于字典的结构,使得k
是键,并且每个v
是相应的值。你需要将结果转换为dict
,虽然。
您可以压缩所需的子类型的字典的键在一个字典的构造函数(假设你的列表存储在变量l
)对应的值:
[dict(zip(('name', 'stars', 'price'), i)) for i in l]
这将返回:
[{'name': 'CalaBar & Grill', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Red Chili Cafe', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Gus’s World Famous Fried Chicken', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'South City Kitchen - Midtown', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Mary Mac’s Tea Room', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Busy Bee Cafe', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Richards’ Southern Fried', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Greens & Gravy', 'stars': '3.5 star rating', 'price': '$$'}, {'name': 'Colonnade Restaurant', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'South City Kitchen Buckhead', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Poor Calvin’s', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Rock’s Chicken & Fries', 'stars': '4.0 star rating', 'price': '$'}, {'name': 'Copeland’s', 'stars': '3.5 star rating', 'price': '$$'}]
使用一个简单的列表理解,你可以创建dict
有:
list = [['CalaBar & Grill', '4.0 star rating', '$$'],
['Red Chili Cafe', '4.0 star rating', '$$'],
['Gus’s World Famous Fried Chicken', '4.0 star rating', '$$'],
['South City Kitchen - Midtown', '4.5 star rating', '$$'],
['Mary Mac’s Tea Room', '4.0 star rating', '$$'],
['Busy Bee Cafe', '4.0 star rating', '$$'],
['Richards’ Southern Fried', '4.0 star rating', '$$'],
['Greens & Gravy', '3.5 star rating', '$$'],
['Colonnade Restaurant', '4.0 star rating', '$$'],
['South City Kitchen Buckhead', '4.5 star rating', '$$'],
['Poor Calvin’s', '4.5 star rating', '$$'],
['Rock’s Chicken & Fries', '4.0 star rating', '$'],
['Copeland’s', '3.5 star rating', '$$']]
my_dict = {'venues': [{'name': item[0], 'stars': item[1], 'price': item[2]} for item in list]}
my_dict_entries = my_dict['venues']
for i in range(len((my_dict_entries))):
print(my_dict_entries[i]['name'])
print(my_dict_entries[i]['stars'])
print(my_dict_entries[i]['price'])
dict
:
{"venues": [{"name": "CalaBar & Grill", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "Red Chili Cafe", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "Gus\u2019s World Famous Fried Chicken", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "South City Kitchen - Midtown", "rating": "4.5 star rating", "pricing": "$$"}, {"name": "Mary Mac\u2019s Tea Room", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "Busy Bee Cafe", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "Richards\u2019 Southern Fried", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "Greens & Gravy", "rating": "3.5 star rating", "pricing": "$$"}, {"name": "Colonnade Restaurant", "rating": "4.0 star rating", "pricing": "$$"}, {"name": "South City Kitchen Buckhead", "rating": "4.5 star rating", "pricing": "$$"}, {"name": "Poor Calvin\u2019s", "rating": "4.5 star rating", "pricing": "$$"}, {"name": "Rock\u2019s Chicken & Fries", "rating": "4.0 star rating", "pricing": "$"}, {"name": "Copeland\u2019s", "rating": "3.5 star rating", "pricing": "$$"}]}
dict_entries
:
[{'name': 'CalaBar & Grill', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Red Chili Cafe', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Gus’s World Famous Fried Chicken', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'South City Kitchen - Midtown', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Mary Mac’s Tea Room', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Busy Bee Cafe', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Richards’ Southern Fried', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'Greens & Gravy', 'stars': '3.5 star rating', 'price': '$$'}, {'name': 'Colonnade Restaurant', 'stars': '4.0 star rating', 'price': '$$'}, {'name': 'South City Kitchen Buckhead', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Poor Calvin’s', 'stars': '4.5 star rating', 'price': '$$'}, {'name': 'Rock’s Chicken & Fries', 'stars': '4.0 star rating', 'price': '$'}, {'name': 'Copeland’s', 'stars': '3.5 star rating', 'price': '$$'}]
输出[截断]:
CalaBar & Grill
4.0 star rating
$$
Red Chili Cafe
4.0 star rating
$$
Gus’s World Famous Fried Chicken
4.0 star rating
$$
South City Kitchen - Midtown
4.5 star rating
$$
...
这会给你一个更强大的venues
dict
结构,这样就解决您的清单很好。例如,my_dict_entries
向你在你的问题寻找名单。