小编dag*_*run的帖子

I have the following Pandas dataframe:

1    ["Apple", "Banana"]
2    ["Kiwi"]
3    None
4    ["Apple"]
5    ["Banana", "Kiwi"]

and the following dict:

{1: ["Apple", "Banana"],
2: ["Kiwi"]}

I would now like to map all the entries in the lists in my dataframe using the dictionary. The result should be the following:

1    [1]
2    [2]
3    None
4    [1]
5    [1, 2]

How can this be done most efficiently?

是否可以使用Azure Data Factory从REST API获取数据并将其插入Azure数据库表？

我正在尝试使用 python 将 xml 发布到站点。我必须包含证书，但不确定如何执行此操作。在我的计算机上本地指定证书的文件路径是否足够？

任何人都可以向我展示如何在请求中包含证书的示例吗？

import http.client, urllib.parse

xml="""<?xml version="1.0" encoding="UTF-8"?>
<home>
  <bathroom>1</bathroom>
  <kitchen>1</kitchen>
  <street>515</street>
</home>);"""

headers = {"username": "password"}

conn = http.client.HTTPSConnection("someurl.com", cert_file="D:\Users\Username\certificate.p12")
conn.request("POST", "/to/this/place", xml, headers)
response = conn.getresponse()
print(response.status, response.reason)
data = response.read()
print(data)
conn.close()