Skip to main content

No project description provided

Project description

mpl-poormans-3d

A very naive implementaion to provide pseudo 3-d projection look to your 2d matplotlib figure.:

It supports an arbitrary bezier curve by linearizing it.:

Documentation

The documentation is far from complete. Your best friends are included examples. Please check the gallery in the readthedocs site.

RTM page

Installation

The code is pretty much in alpha stage. I recommend you to clong the repo and instally manually.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

mpl_poormans_3d-0.1.0-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file mpl_poormans_3d-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mpl_poormans_3d-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d88d50bf31c0d858c7d48554ad7ac20332b6747dd44f349c7e8a1e9fda6f7b1f
MD5 86ef57337d16f9bdf95ac4e68cfdda21
BLAKE2b-256 24684eccc10223b6db0867b6fdfeb374ce52df4ac7a375b22f63e3b00090dc3d

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