我有一个 csv 文件，我正在尝试创建一个如下所示的嵌套字典:
contacts = {"Tom": {"name": "Tom Techie",
"phone": "123 123546",
"email": "<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="41352e2c01352e2c6f2728" rel="noreferrer noopener nofollow">[email protected]</a>",
"skype": "skypenick"},
"Mike": {"name": "Mike Mechanic",
"phone": "000 123546",
"email": "<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="5f3236343a1f3236343a713936" rel="noreferrer noopener nofollow">[email protected]</a>",
"skype": "-Mike-M-"}}
等等
这就是我写的:
file = open("csv","r")
d = {}
for i in file:
f = i.strip()
x = f.split(";")
if x[4] != "":
d.update({x[0] : {"name":x[1],
"phone":x[2],
"email":x[3],
"skype":x[4]}})
else:
d.update ({x[0] : {"name": x[1],
"phone": x[2],
"email": x[3]}})
但是，当它们应该像上面所述时，它会将字典打印为普通字典，并将更新作为键。
编辑: csv 的第一行:
key;name;phone;email;skype
Tom;Tom Techie;123 123546;<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="daaeb5b79aaeb5b7f4bcb3" rel="noreferrer noopener nofollow">[email protected]</a>;skypenick
Mike;Mike Mechanic;000 123456;<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="8ce1e5e7e9cce1e5e7e9a2eae5" rel="noreferrer noopener nofollow">[email protected]</a>;-Mike-M-
Archie;Archie Architect;050 987654;archie@archie
最佳答案
您可以使用pd.read_csv()和to_dict():
import pandas as pd
contacts = pd.read_csv('test.csv', sep=';').set_index('key').to_dict(orient='index')
产量:
{'Tom': {'name': 'Tom Techie', 'phone': '123 123546', 'email': '<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="7e0a11133e0a1113501817" rel="noreferrer noopener nofollow">[email protected]</a>', 'skype': 'skypenick'}, 'Mike': {'name': 'Mike Mechanic', 'phone': '000 123456', 'email': '<a href="https://stackoverflow.com/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="d9b4b0b2bc99b4b0b2bcf7bfb0" rel="noreferrer noopener nofollow">[email protected]</a>', 'skype': '-Mike-M-'}, 'Archie': {'name': 'Archie Architect', 'phone': '050 987654', 'email': 'archie@archie', 'skype': nan}}
关于python - 使用 for 循环创建嵌套字典，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/52976002/