Skip to main content

A package to simplify scientific visualization

Project description

SciViz: Simplifying Plot Creation for Students and Researchers

SciViz is a Python package designed to simplify the creation of statistical data analysis plots, optimized specifically for the needs of students and researchers. With SciPlotLib, you can effortlessly generate aesthetically pleasing plots for your data visualization tasks using single function calls.

Features

  • Simplicity: Easy-to-use interface for creating aesthetics plots with minimal effort.
  • Flexibility: Customizable plots with seaborn/matplotlib axis objects for further manipulation.

Installation

You can install SciViz via pip:

pip install sciviz

Documentation

For more in-depth documentation, including detailed usage examples refer to the documentation file.

Contributing

Contributions are welcome! Please fork your contribution or reach out to discuss new ideas.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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

sciviz-0.1.0.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

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

sciviz-0.1.0-py3-none-any.whl (15.9 kB view details)

Uploaded Python 3

File details

Details for the file sciviz-0.1.0.tar.gz.

File metadata

  • Download URL: sciviz-0.1.0.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for sciviz-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3577fa8ad67dc79056437504d8c5a3adabe1f16e29b99d71d0c3b986f995f66d
MD5 82fcf32f15d0927c93f91c98a88556b3
BLAKE2b-256 8c8ce07aafa8e1534183cfe7c840e667c8f775c9af1180917b11c64cea1eaa6a

See more details on using hashes here.

File details

Details for the file sciviz-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: sciviz-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 15.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for sciviz-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 21721e0837a95e600ad236a19895b5ba1da61119846c663ccd5224125af10197
MD5 556650c4b9e232139e15d043f7613723
BLAKE2b-256 785e16f93eb238a7a3a7dd8217c1a30632863b19991af966c6142f344a8c716d

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