我想列出具有以下结构的词典
[{'Business' : 'Attorney' , 'Website text' : '(one line from the loaded file)'}, {'Business' : 'Attorney' , 'Website text' : '(one line from the loaded file)'}, ...]
但目前我只有一个由网站文字组成的csv文件。
下面我尝试以某种方式创建与我的网站文本文件长度相同的列表,然后压缩它们并从中创建一个字典。从更多的2个列表创建一个字典时,我一直无法找到有关此处的信息。
with open('attorneys text.csv') as data_file:
attorneys = list(line for line in data_file)
website = []
business = []
classes = []
for l in range(len(attorneys)):
website.append("Website text")
for k in range(len(attorneys)):
business.append("Business")
for i in range(len(attorneys)):
classes.append("Attorney")
data = dict(zip((business, classes, website, attorneys)))
我很清楚尝试的丑陋......
答案 0 :(得分:2)
由于唯一的区别是文本,您可以执行以下操作:
with open('attorneys text.csv') as data_file:
data = [{'Business':'Attorney', 'Website text':line} for line in data_file]
每个字典的'Business':'Attorney'
对都是相同的,而与'Website text'
对应的值将是您文件中的数据。
答案 1 :(得分:0)
您可以使用defaultdict
from collections import defaultdict
s = ["Business", "Attorney", "Website text"]
data = defaultdict(list)
data[s[0]].append(business)
data[s[1]].append(classes)
data[s[2]].append(website)
答案 2 :(得分:0)
这就是我要做的事情:
data = []
with open('attorneys text.csv') as data_file:
for line in data_file
row = { "Business": "Attorney", "Website text": line}
data.append(row)
我不知道我是否理解你想做什么