Skip to main content

csv file reader

Project description

Build Status

A fast csv parser for Python and R.

import camog

headers, columns = camog.load('foobar.csv', nthreads=4)

How should I build it?

make benchmark

Benchmarks

Name

Relative speed (4 threads)

pandas

1

paratext

2.5

camog

5

Where’s the doc?

cat camog/_csv.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

camog-0.2.3.tar.gz (52.0 kB view details)

Uploaded Source

File details

Details for the file camog-0.2.3.tar.gz.

File metadata

  • Download URL: camog-0.2.3.tar.gz
  • Upload date:
  • Size: 52.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.5.6

File hashes

Hashes for camog-0.2.3.tar.gz
Algorithm Hash digest
SHA256 1667b86fa6ab264ec6e152f96b3c64a48b46efef210fc7585a6e86a4052b20ab
MD5 5494873fc8c10809943307d9f24afff9
BLAKE2b-256 6b21aa0087ed43242113ddb5c4fb76fab7bb1a203370ff6cdada4b6cfc2f4107

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page