将 .iqy 文件中的数据导入 Pandas

Question

I have several .iqy files that query data from Sharepoint. I need to combine and process these in Python Pandas. Does Python have any way of doing this? I know the Python Sharepoint library exists, but I'm trying to avoid setting up my own connections via Python and rely on the .iqy files instead. Any ideas?

For sake of the question, assume the table looks like this:

+------+------+
| col1 | col2 |
+------+------+
|    1 |    2 |
|    3 |    4 |
+------+------+

Also I'm open to non-Python solutions for a way to automatically run the .iqy queries and get the data into a Python-readable format (eg .csv). Not sure what such an approach looks like though

Answer 1

Here is a little hacky-way:

import requests_ntlm
import requests

url = 'https://..../owssvr.dll?XMLDATA=...'
print('downloading...')
r = requests.get(url, auth=requests_ntlm.HttpNtlmAuth(LOGIN, PASSWORD), verify=False)

print('saving...')
with open('download.xml', 'wb') as file:
    file.write(r.content)

A few remarks:

1. url is in *.iqy file (typically is very long). You can extract it manually by "notepad" or parse it by python.
2. You'll get xml file, to convert it to pandas dataframe look at: How to convert an XML file to nice pandas dataframe?