Skip to main content

Python package for multi-dimensional tabular data

Project description

ProjectFrame for data manipulation

Build Status PyPI version Coffee

This is a Python package for easy and efficient manipulation of multiple DataFrame-like objects.

Install

If you dont already have numpy and scipy installed, it is best to download Anaconda, a python distribution that has them included.

    https://continuum.io/downloads

Dependencies can be installed by:

    pip install -r requirements.txt

PyPI install, presuming you have all its requirements installed:

	pip install projectframe

Usage

from projectframe import ProjectFrame
import numpy as np

# Create data
pf = ProjectFrame()

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

projectframe-1.0.6.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

projectframe-1.0.6-py3-none-any.whl (20.6 kB view details)

Uploaded Python 3

File details

Details for the file projectframe-1.0.6.tar.gz.

File metadata

  • Download URL: projectframe-1.0.6.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/24.4.0

File hashes

Hashes for projectframe-1.0.6.tar.gz
Algorithm Hash digest
SHA256 7e0c443001c4f96b5c83d99cf7c598d203c0eb512630495884a270ac7de210f7
MD5 ef4d2432dba3d3467daecef6394ede6e
BLAKE2b-256 2fb4aab163c7be4fb2de1f525a422105c9ebbaab35449e60f096b170f98e1031

See more details on using hashes here.

File details

Details for the file projectframe-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: projectframe-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 20.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/24.4.0

File hashes

Hashes for projectframe-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 02b68a184b06a78fe638f31330253b80b61946990c1cadfce148f3b04ead0eac
MD5 0564cd8ca643fbcdf6a93d89cf790463
BLAKE2b-256 c7181e146be24df5d01aaadfcb00a47885d439fbf64f5df5103d29ed010643c9

See more details on using hashes here.

Supported by

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