ANSIplot
A small library for legible console plotting in Python.
Quickstart
Install the library with pip install ansiplot.
Create a canvas of given dimensions
that scales automatically, and plot on it like so:
import ansiplot
x = [(i - 100) * 0.01 for i in range(200)]
square = [value**2 for value in x]
plot = ansiplot.Scaled(30, 10)
plot.plot(x, x, title="tautology")
plot.plot(x, square, title="square")
plot.show()
Curve differences remain mostly legible, even for overlapping regions and small canvases. ANSI is used to color the console output, and any numeric iterable -such as numpy arrays- can be given as data.
Read more
Showcase - see several features in action
Documentation - available methods
1 maintainer
Metadata
1 maintainer
Release files for ansiplot 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ansiplot-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for ansiplot-0.1.3-py3-none-any.whl |
Release files / ansiplot-0.1.3-py3-none-any.whl
| Download URL | ansiplot-0.1.3-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
20455c767e471f1d676a96db97a0f211db548ad3fff096fb2872c8b8ac4db7a2
|
|
BLAKE2b-256 checksum How to use checksums |
7e4ae8778b3636d076c395fb9076c65881357728d49699e3d6e97c63a482c632
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
Security for ansiplot 0.1.3
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.
