Skip to main content

icy

Project description

pandas-decimal

Extension array for pandas implementing fixed-precision decimal numbers.

Data is stored internally as integers and a dtype encoding the number of decimal places. Operations are mostly implemented as integer arithmetic (i.e., fast!) and always rounded to the required precision, meaning no floating point quirks.

Install

pip install git+//github.com/intake/pandas-decimal

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

pandas_decimal-0.0.1.tar.gz (5.6 kB view details)

Uploaded Source

Built Distribution

pandas_decimal-0.0.1-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file pandas_decimal-0.0.1.tar.gz.

File metadata

  • Download URL: pandas_decimal-0.0.1.tar.gz
  • Upload date:
  • Size: 5.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pandas_decimal-0.0.1.tar.gz
Algorithm Hash digest
SHA256 8b6c7cbb5793972fb03fa570702126765eb806ba104a11b5b2d795f7348e665b
MD5 342fb6e2fbd2251828cedcaf12363e1e
BLAKE2b-256 4874253fd0f8d221cfb85b86e23ea1bd7a668215deb34603cf8aa4e22ee9aa49

See more details on using hashes here.

Provenance

File details

Details for the file pandas_decimal-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pandas_decimal-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5a9f36ac2df0bd1d0104e3ce8eefe740a56e152e6031115136c1711bd1b8f7ae
MD5 d911021624b4ae9c393675e12f4fa834
BLAKE2b-256 da41282545cc870962d70f3aa4686a07ffa9293da55410f5f6f26567e1f3babe

See more details on using hashes here.

Provenance

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