matviz
Data visualization for scientists, made easy. Smart histograms, publication-ready plots, and data wrangling utilities.
Installation
pip install matviz
Quick start
from matviz.helpers import *
# Compare distributions with automatic binning
data = {'Control': np.random.randn(10000), 'Treatment': np.random.randn(5000) + 1}
nhist(data)
# 2D histogram from complex numbers
z = (5 + np.random.randn(1000)) * np.exp(1j * np.random.randn(1000))
ndhist(z, smooth=1)
Modules
| Module | Description |
|---|---|
histogram_utils |
Smart 1D (nhist) and 2D (ndhist) histograms with automatic binning |
viz |
Plot ranges, streamgraphs, log-fitting, polar grids, complex plots, nicefy |
etl |
nan_smooth, cross-correlation, JSON with complex numbers, time utilities |
cbrt_scale |
Cube-root axis scale for matplotlib |
circle_utils |
Smallest enclosing circle and convex hull area |
datetime_converter |
Reversible timestamp codec (DateCodec) |
doctools |
PDF image extraction and compression |
helpers |
MATLAB-like environment with all imports |
Documentation
Full documentation at matviz.readthedocs.io.
License
BSD-3-Clause
1 maintainer
Metadata
1 maintainer
Release files for matviz 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matviz-1.0.7.tar.gz | 1.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matviz-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / matviz-1.0.7.tar.gz
| Download URL | matviz-1.0.7.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / matviz-1.0.7-py3-none-any.whl
| Download URL | matviz-1.0.7-py3-none-any.whl |
|---|---|
| Size | 55.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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