Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

Conversion between QImages and numpy.ndarrays.

Project description

qimage2ndarray is a small python extension for quickly converting
between QImages and numpy.ndarrays (in both directions). These are
very common tasks when programming e.g. scientific visualizations in
Python using PyQt4 as the GUI library.

* Supports conversion of scalar and RGB data, with arbitrary dtypes
and memory layout, with and without alpha channels, into QImages
(e.g. for display or saving using Qt).

* Using a tiny C++ extension, qimage2ndarray makes it possible to
create ndarrays that are *views* into a given QImage's memory.

This allows for very efficient data handling and makes it possible
to modify Qt image data in-place (e.g. for brightness/gamma or alpha
mask modifications).

* `Masked arrays`_ are also supported and are converted into QImages
with transparent pixels.

* Supports value scaling / normalization to 0..255 for convenient
display of arbitrary NumPy arrays.

Project details


Release history Release notifications

History Node

1.6

History Node

1.5.1

History Node

1.5

History Node

1.4

History Node

1.3.1

History Node

1.3

This version
History Node

1.2

History Node

1.0

History Node

0.2

History Node

0.1

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
qimage2ndarray-1.2.tar.gz (80.3 kB) Copy SHA256 hash SHA256 Source None Oct 10, 2013

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page