A simple state-machine based CSV parser.
CSV Parse is a simple state-machine based approach to parsing CSV files. Its creation was motivated after dealing with some CSV parsers that could not properly handle strings with null bytes. It is not very fast, and definitely not very memory efficient, but if you want to explore simple CSV parsing, look no further. If you have CSV files that are incorrectly formatted, you can pretty easily modify the code to patch them up.
CSV parse supports reading from files or a buffer.
from csv_parse import read data = read("/home/user/foo.txt")
Reading a buffer
from csv_parse import parse my_string = 'foo,bar\nbaz,bat' size = len(my_string) data = parse(my_string, size)
CSV Parse also supports escaping, custom delimiters and newlines, and custom quoting.
data = read("/home/user/foo.txt", field_separator=',', null_as="", newline="\n", quote='"')
- Messing with deployments!
- Markdown for the Markdown parsing gods
- Initial Release
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|csvparse-0.0.3-py2-none-any.whl (2.5 kB) Copy SHA256 hash SHA256||Wheel||py2||Apr 27, 2018|
|csvparse-0.0.3-py3-none-any.whl (3.7 kB) Copy SHA256 hash SHA256||Wheel||py3||Apr 27, 2018|
|csvparse-0.0.3.tar.gz (3.1 kB) Copy SHA256 hash SHA256||Source||None||Apr 27, 2018|