Skip to main content
Latest PyPI version

Quick visualization of data using pygame with a matplotlib style

Usage

import numpy as np
import pygame_plot

data = np.random.rand(10, 10, 500, 500)
pygame_plot.pcolor(data)

Installation

$ pip install pygame_plot

Requirements

This package requires pygame, matplotlib and numpy to work

Licence

Metadata

Release files for pygame-plot 0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pygame-plot 0.1
File Size Uploaded Provenance Actions
pygame_plot-0.1.tar.gz 3.0 kB Without provenance Details for pygame_plot-0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pygame-plot 0.1
File Interpreter ABI Platform Actions
pygame_plot-0.1-py3-none-any.whl Python 3 none any Details for pygame_plot-0.1-py3-none-any.whl

Total release size: 6.9 kB

Release files / pygame_plot-0.1.tar.gz

Download URL pygame_plot-0.1.tar.gz
Size 3.0 kB
Tags Source
SHA-256 checksum
How to use checksums
c79b5da071fe3866c413bd170020ffb883c1dd3555061cec5fbc17a8ad38afbc
BLAKE2b-256 checksum
How to use checksums
39b20770c7a3459dbb354ad32aef7466bc372bdf66bb5a6b2fde5d7bfc3856cb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.1 tqdm/4.29.1 CPython/3.7.2

Release files / pygame_plot-0.1-py3-none-any.whl

Download URL pygame_plot-0.1-py3-none-any.whl
Size 4.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
813f5605b0198f54481b7170af9419a025bdc59860cdb4865c9b8b0351511969
BLAKE2b-256 checksum
How to use checksums
8f6ba66e8107e0016aebeccb49422e7e9e0c3c7f481b5e29853f943525ccb695
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.1 tqdm/4.29.1 CPython/3.7.2

Security for pygame-plot 0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page