corner

library2.2.3pypypi✓ verified 86d ago

Corner.py makes beautiful corner plots (scatter plot matrices) for visualizing high-dimensional datasets, commonly used in Bayesian analysis (e.g., MCMC chains). Current version 2.2.3 requires Python >=3.9. Releases are infrequent, mainly maintenance.

data ai-ml

pip install corner

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · CORNER

corner

datapythonv2.2.3

Install

7.3s avg

Import

2692ms

Disk

181MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2.2.3 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 2.736s · 177.6MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 7.3s · import 2.648s · 170MB

181MB installed

● package 181MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

corner

✓ import corner

✗ from corner import corner

corner.corner() is the main function; importing corner.corner directly is not recommended.

Create a simple corner plot from random samples.

import corner import numpy as np # Generate random samples ndim = 5 nsamples = 10000 np.random.seed(42) samples = np.random.randn(ndim * nsamples).reshape([nsamples, ndim]) # Make the corner plot figure = corner.corner(samples) # Save to file figure.savefig("corner_plot.pdf")

Debug

Known issues

gotchaThe `corner.corner()` function returns a matplotlib `Figure` object, not a `GridSpec` or an array of axes. Do not try to unpack the return value.

fix

Capture the figure: `fig = corner.corner(...)` and use `fig.axes` to access subplots.

affects: >=2.0.0

deprecatedThe `smooth` parameter for KDE smoothing is deprecated in favor of `smooth1d` and `smooth2d`.

fix

Use `smooth1d=...` and/or `smooth2d=...` instead of `smooth=...`.

affects: >=2.2.0

gotchaWhen passing `truths` (true parameter values), the list length must match the dimensionality of the samples (number of columns).

fix

Ensure `truths` has the same number of elements as the columns of `samples`.

affects: all

gotchaThe `labels` parameter overrides the `quantiles` display on the histograms. If you want quantiles shown, ensure `labels` is not set or set it to include them.

fix

Either omit `labels` or pass a list of label strings. Quantiles will appear if `show_titles=True` and `quantiles` is set.

affects: all

gotchaCorner plots are memory-intensive for very large datasets (millions of points). Consider thinning your samples before plotting.

fix

Subsample your data: `samples = samples[::10]`

affects: all

Errors

Common errors & fixes

ImportError: cannot import name 'corner' from 'corner'

Attempting to import `corner` as a function instead of a module.

fix

Use `import corner` then call `corner.corner(samples)`.

ValueError: The number of truths (3) does not match the number of dimensions (2)

The `truths` list length differs from the number of columns in the samples array.

fix

Ensure `truths` has the same number of elements as `samples.shape[1]`.

TypeError: corner() got an unexpected keyword argument 'smooth'

Using deprecated `smooth` parameter in corner >=2.2.0.

fix

Use `smooth1d` and/or `smooth2d` instead.

No module named 'arviz' when using 'corner'

ArviZ is an optional dependency; some workflows may unexpectedly require it.

fix

Install with `pip install corner[arviz]` or pip install arviz.

Upgrade

Version history

2.2.3latest on PyPI · released Nov 23, 2024

Audit

Dependencies

No dependency data recorded yet.

Agent activity

15 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

githubhttps://github.com/dfm/corner.py ↗

packagehttps://pypi.org/project/corner/ ↗

homepagehttps://corner.readthedocs.io ↗