I have a list of 77 items. I have placed all 77 items in a text file (one per line).
I am trying to read this into my python script (where I will then compare each item in a list, to another list pulled via API).
Problem: for some reason, 2/77 of the items on the list have encoding, giving me characters of "u00c2" and "u00a2" which means they are not comparing correctly and being missed. I have no idea why these 2/77 have this encoding, but the other 75 are fine, and I don't know how to get rid of the encoding, in python.
Question:
- In Python, How can I get rid of the encoding to ensure none of them have any special/weird characters and are just plain text?
- Is there a method I can use to do this upon reading the file in?
Here is how I am reading the text file into python:
with open("name_list2.txt", "r") as myfile:
policy_match_list = myfile.readlines()
policy_match_list = [x.strip() for x in policy_match_list]
Note - "policy_match_list" is the list of 77 policies read in from the text file.
Here is how I am comparing my two lists:
for policy_name in policy_match_list:
for us_policy in us_policies:
if policy_name == us_policy["name"]:
print(f"Match #{match} | {policy_name}")
match += 1
Note - "us_policies" is another list of thousands of policies, pulled via API that I am comparing to
Which is resulting in 75/77 expected matches, due to the other 2 policies comparing e.g. "text12 - text" to "text12u00c2-u00a2text" rather than "text12 - text" to "text12 - text"
I hope this makes sense, let me know if I can add any further info
Cheers!