1.0.6.dev1

Changes in 1.0.6 (in development)

• Bundled xcube-viewer 1.1.0-dev.1.

1.0.5

Changes in 1.0.5

• When running xcube in a JupyterLab, the class xcube.webapi.viewer.Viewer can be used to programmatically launch a xcube Viewer UI. The class now recognizes an environment variable XCUBE_JUPYTER_LAB_URL that contains a JupyterLab's public base URL for a given user. To work properly, the jupyter-server-proxy extension must be installed and enabled.

• Bundled xcube-viewer 1.0.2.1.

1.0.4

Changes in 1.0.4

• Setting a dataset's BoundingBox in the server configuration
  is now recognised when requesting the dataset details. (#845)

• It is now possible to enforce the order of variables reported by
  xcube server. The new server configuration key Variables can be added
  to Datasets configurations. Is a list of wildcard patterns that
  determines the order of variables and the subset of variables to be
  reported. (#835)

• Pinned Pandas dependency to lower than 2.0 because of incompatibility
  with both xarray and xcube
  (see pydata/xarray#7716).
  Therefore, the following xcube deprecations have been introduced:

  • The optional --base/-b of the xcube resample CLI tool.
  • The keyword argument base of the xcube.core.resample.resample_in_time
    function.

• Bundled xcube-viewer 1.0.2.

Full Changelog: v1.0.3...v1.0.4

1.0.3

Changes in 1.0.3

Some unit tests have been fixed. Regression was caused by a minor Python environment change.
Therefore, the actual changes are the same as in 1.0.2:

• Bundled latest xcube-viewer 1.0.1.

• xcube is now compatible with Python 3.10. (#583)

• The Viewer.add_dataset() method of the xcube JupyterLab integration has been enhanced by two optional keyword arguments style and color_mappings to allow for customized, initial color mapping of dataset variables. The example notebook xcube-viewer-in-jl.ipynb has been updated to reflect the enhancement.

• Fixed an issue with new xcube data store abfs for the Azure Blob filesystem. (#798)

Full Changelog

• v1.0.2...v1.0.3
• v1.0.1...v1.0.2

1.0.2

Changes in 1.0.2

• Bundled latest xcube-viewer 1.0.1.

• xcube is now compatible with Python 3.10. (#583)

• The Viewer.add_dataset() method of the xcube JupyterLab integration has been enhanced by two optional keyword arguments style and color_mappings to allow for customized, initial color mapping of dataset variables. The example notebook xcube-viewer-in-jl.ipynb has been updated to reflect the enhancement.

• Fixed an issue with new xcube data store abfs for the Azure Blob filesystem. (#798)

Full Changelog: v1.0.1...v1.0.2

1.0.2.dev3

Changes in 1.0.2 (in development)

• Includes xcube-viewer version 1.0.1-dev.2.

• xcube is now compatible with Python 3.10. (#583)

• The Viewer.add_dataset() method of the xcube JupyterLab integration
  has been enhanced by two optional keyword arguments style and
  color_mappings to allow for customized, initial color mapping
  of dataset variables. The example notebook
  xcube-viewer-in-jl.ipynb
  has been updated to reflect the enhancement.

• Fixed an issue with new xcube data store abfs
  for the Azure Blob filesystem. (#798)

Full Changelog: v1.0.2.dev2...v1.0.2.dev3

1.0.2.dev2

Changes in 1.0.2 (in development)

• Includes xcube-viewer version 1.0.1-dev.1.

• xcube is now compatible with Python 3.10. (#583)

• The Viewer.add_dataset() method of the xcube JupyterLab integration
  has been enhanced by two optional keyword arguments style and
  color_mappings to allow for customized, initial color mapping
  of dataset variables. The example notebook
  xcube-viewer-in-jl.ipynb
  has been updated to reflect the enhancement.

• Fixed an issue with new xcube data store abfs
  for the Azure Blob filesystem. (#798)

Full Changelog: v1.0.2.dev1...v1.0.2.dev2

1.0.2.dev1

Changes in 1.0.2 (in development)

• xcube is now compatible with Python 3.10. (#583)

• The Viewer.add_dataset() method of the xcube JupyterLab integration
  has been enhanced by two optional keyword arguments style and
  color_mappings to allow for customized, initial color mapping
  of dataset variables. The example notebook
  xcube-viewer-in-jl.ipynb
  has been updated to reflect the enhancement.

• Fixed an issue with new xcube data store abfs
  for the Azure Blob filesystem. (#798)

1.0.1

Changes in 1.0.1

Fixes

• Fixed recurring issue where xcube server was unable to locate Python
  code downloaded from S3 when configuring dynamically computed datasets
  (configuration FileSystem: memory) or augmenting existing datasets
  by dynamically computed variables (configuration Augmentation). (#828)

1.0.1.dev1

Changes in 1.0.1 (in development)

Fixes

• Fixed recurring issue where xcube server was unable to locate Python
  code downloaded from S3 when configuring dynamically computed dataset
  (configuration FileSystem: memory) or augmenting existing datasets
  by dynamically computed variables (configuration Augmentation). (#828)

Full Changelog: v1.0.0...v1.0.1.dev1