Skip to main content

A simple, embeddable Matplotlib-based image viewer.

Project description

mplview

PyPI conda-forge Travis CI Read the Docs Coveralls License

A simple, embeddable Matplotlib-based image viewer.

Example

Typically mplview is used within the context of the Jupyter Notebook. Though it can also be used with any interactive GUI backend that matplotlib provides. Below is a brief example of how this works in the Jupyter Notebook with some dummy data. Similar usage can be applied to other contexts.

# Run the following in your Notebook
#
# %matplotlib notebook

import numpy as np
import matplotlib.pyplot as plt
from mplview.core import MatplotlibViewer

arr = np.random.random((25, 30, 35))

mplsv = plt.figure(FigureClass=MatplotlibViewer)
mplsv.set_images(
    arr,
    vmin=0.0,
    vmax=1.0
)

The array provided to set the images must provide a reasonable subset of the NumPy array interface (primarily slicing and coercion to NumPy Arrays). This allows other array types to be used for visualization easily (e.g. Dask Arrays).

Credits

This package was created with Cookiecutter and the nanshe-org/nanshe-cookiecutter project template.

History

0.1.0 (2016-11-01)

  • First release on PyPI.

Project details


Download files

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

Source Distribution

mplview-0.0.6.tar.gz (31.9 kB view details)

Uploaded Source

File details

Details for the file mplview-0.0.6.tar.gz.

File metadata

  • Download URL: mplview-0.0.6.tar.gz
  • Upload date:
  • Size: 31.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.7

File hashes

Hashes for mplview-0.0.6.tar.gz
Algorithm Hash digest
SHA256 9edddd9bfd6397fe39fd70c9f5e152354a2b04a0f253e869135eb009b09222fa
MD5 02daaa6866cc4b3ee2af411426375bdd
BLAKE2b-256 d23695b728a55765396319fb85b8faea3adca145e770d00d44d3be8052004471

See more details on using hashes here.

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