Reading CSV file in Python with Encoding
This post will be to resolve a particular error I encountered while reading the csv files for one of my task. This csv file can contain non-English characters like Chinese or Japanese and hence we need to use the correct encoding format to read the file.
Lets say the csv file contains following:
"Title","Id" "2018-适用于 Windows Server 2016 的 05 累积更新，适合基于 x64 的系统 (KB4103723)","e6c7b5bd04ec" "2021-适用于 Windows Server 2016 的 09 服务堆栈更新，适合基于 x64 的系统 (KB5005698)","840e7e93b835" "Windows 恶意软件删除工具 x64 - v5.96 (KB890830)","cffc4d7bc390"
As you can see it contains windows update KB name in Chinese characters.
In order to read the content of this file, there were a lot of option given which claimed to resolve the issue. One such approach was like this:
with open('kb.csv', encoding='utf8') as f: reader = csv.reader(f, delimiter=",") for line in reader: print(": ".join(line))
Here we are trying to open the csv file with the encoding set as utf-8. But this would result in following error
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
I tried other approaches where they were using read_csv() method of Pandas library, but it was without any luck.
Another approaches were to change the encoding format with cp1252 or ISO-8591-1. But this also couldn't solve the issue.
At last what worked for me was changing the encoding format to UTF-16 and decoding the result. The code looks like this
with open('get.csv', 'rb') as f: content = f.read() content = content.decode('utf-16')
Here the content once read, was decoded to utf-16 which was missing in all other approaches. As the file was read in utf-8 encoded way, we were not decoding it to get the correct output in other approaches.
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