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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size csvparse-0.0.3-py2-none-any.whl (2.5 kB)||File type Wheel||Python version py2||Upload date||Hashes View|
|Filename, size csvparse-0.0.3-py3-none-any.whl (3.7 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size csvparse-0.0.3.tar.gz (3.1 kB)||File type Source||Python version None||Upload date||Hashes View|