Skip to main content

matviz: matrix data visualization

Project description

MatViz is a library for making nice looking and useful graphics in Python. It is built on top of matplotlib and closely integrated with numpy and pandas data structures. It also pulls from and is inspired by seaborn Here is some of the functionality that matviz offers: - A histogram function that compares multiple distributions with default settings to maximize utility - A 2D histogram function with fun tricks like smoothing and plotting timeseries data - Specialized support for using complex numbers in place of x and y (z = x + 1j * y) - Taking any figure and making it look nicer than the matplotlib defaults - Streamgraph implementation with lots of additional features, based on stackedplot - Lots of plotting functions to import by default and make the coding environment similar to Matlab.

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

matviz-0.1.1.tar.gz (467.6 kB view details)

Uploaded Source

Built Distribution

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

matviz-0.1.1-py3-none-any.whl (41.7 kB view details)

Uploaded Python 3

File details

Details for the file matviz-0.1.1.tar.gz.

File metadata

  • Download URL: matviz-0.1.1.tar.gz
  • Upload date:
  • Size: 467.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for matviz-0.1.1.tar.gz
Algorithm Hash digest
SHA256 6a570125bdba5bc89660e15e4512ab35dc67a18d5ae77a0d860cf6fafc0565cb
MD5 516d84a7812b810fbac48571f08cbddf
BLAKE2b-256 560521db9eb27a175e09b936290ed38218536f9b6f82d8502b6755f309828220

See more details on using hashes here.

File details

Details for the file matviz-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: matviz-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 41.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for matviz-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 06e2e53008d462ad0c7324e82f1e25a63f1aad9b01039cbac819e655d5f3473f
MD5 5b31fc88e7ddd032fecdbf6295c36ce7
BLAKE2b-256 8213c13571542acccc9a1b4214121a13c9610e9f78341467adb45aeb81287ab4

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