v0.14.1

See DataLab roadmap page
for future and past milestones.

DataLab Version 0.14.1

🎉 New domain name: datalab-platform.com

💥 New features:

• Added support for colormap inversion in Image View:
  • New "Invert colormap" entry in plot context menu, image parameters, and in the
    default image view settings
  • This requires PlotPy v2.3 or later
• HDF5 Browser:
  • Added "Show array" button at the corner of the "Group" and "Attributes" tabs,
    to show the array in a separate window (useful for copy/pasting data to other
    applications, for instance)
  • Attributes: added support for more scalar data types
• Testability and maintainability:
  • DataLab's unit tests are now using pytest. This has required
    a lot of work for the transition, especially to readapt the tests so that they may
    be executed in the same process. For instance, a particular attention has been
    given to sandboxing the tests, so that they do not interfere with each other.
  • Added continuous integration (CI) with GitHub Actions
  • For this release, test coverage is 87%
• Text file import assistant:
  • Drastically improved the performance of the array preview when importing large
    text files (no more progress bar, and the preview is now displayed almost
    instantaneously)

🛠️ Bug fixes:

• XML-RPC server was not shut down properly when closing DataLab
• Fixed test-related issues: some edge cases were hidden by the old test suite, and
  have been revealed by the transition to pytest. This has led to some bug fixes
  and improvements in the code.
• On Linux, when running a computation on a signal or an image, and on rare occasions,
  the computation was stuck as if it was running indefinitely. Even though the graphical
  user interface was still responsive, the computation was not progressing and the user
  had to cancel the operation and restart it. This was due to the start method of the
  separate process used for the computation (default method was "fork" on Linux). This
  is now fixed by using the "spawn" method instead, which is the recommended method for
  latest versions of Python on Linux when multithreading is involved.
• Fixed Issue #60 - OSError: Invalid HDF5 file [...] when trying to open an HDF5 file with an extension other than ".h5"
• Image Region of Interest (ROI) extraction: when modifying the image bounds in the
  confirmation dialog box, the ROI was not updated accordingly until the operation was
  run again
• Deprecation issues:
  • Fixed scipy.ndimage.filters deprecation warning
  • Fixed numpy.fromstring deprecation warning