【发布时间】:2021-04-20 23:32:27
【问题描述】:
我正在尝试设置一种方法来匹配电子邮件列表和名称列表作为元组。但是,我发现当它到达姓氏时,那些没有名字配对的电子邮件不包含在我的元组中,我怎样才能让这些额外的电子邮件简单地配对一个空字符串(“”)?
基本上,我有格式的 excel 行,我将其设置为 pandas 数据框:
| cust_ID | buyer_names | buyer_emails |
|---|---|---|
| 1234 | name 1; name 2; name 3 | email1; email2; email3; email 4 |
| ..... | ..... | ...... |
我试过了:
# Set regular expression to catch emails
regex = r"[a-zA-Z0-9_.+-]*@[a-zA-Z0-9-]+.[a-zA-Z\.]*"
# Initialise empty list to add query ready emails
emails_query_format = []
# Iterate over retailer_id / emails template rows and append formatted emails to list
for i, row in df.iterrows():
# Put all emails in the row into a list
emails = re.findall(regex, df['additional_emails'][i])
emails = [email.strip() for email in emails]
# Put all additional buyers into a list
buyer_names = row['additional_buyers']
buyers = re.split(r";", buyer_names)
buyers = [buyer.strip() for buyer in buyers]
buyer_email_tuple = [*zip(emails, buyers)]
最终,在遍历这个元组并将它们放入查询格式之后,如下所示:
# For each pair I want to create a row with the formated
for email, buyer in buyer_email_tuple:
# Here I am just putting it into a specific format to copy paste to query template
query_format = "(" + str(row['retailer_id']) + "," + "'" + buyer + "'" + "," + "'" + \
email + "'" + ")" + ","
emails_query_format.append(query_format)
# New DataFrame to input query ready emails
query_df = pd.DataFrame(emails_query_format, columns=['query_ready'])
这样,元组不包括额外的“email4”。我想到了 collections 模块中的容器,但我并没有真正看到为此使用 defaultdict 的明确方法。
如何使元组包含 email4 并带有一个简单的 "" 值作为与其配对的名称?
提前致谢。
【问题讨论】:
标签: python-3.x collections tuples iteration defaultdict