EOmaps v8.0.1

A new major release that brings a lot of important updates and improvements for EOmaps!

A big thanks goes to @banesullivan, @yeelauren and @jhkennedy who provided many useful suggestions and comments to improve EOmaps in the PyOpenSci review (pyOpenSci/software-submission#138)!

§ New License!

The EOmaps source code is now licensed under a BSD 3 Clause License to make it easier for users and contributors to improve and extend the codebase and to use EOmaps to build awesome tools for geo-data analysis!

Make sure to have a look at the licensing-note in the FAQ of the docs for some more details!

Interested in contributing to EOmaps? Checkout the updated Contribution Guide!

⚠️ Major changes to pip install

Dependency management for EOmaps has been improved to split between required and optional dependencies.

❗pip install eomaps now only installs the bare minimum requirements to run EOmaps.
❗To install EOmaps with all optional dependencies, use pip install eomaps[all].

Make sure to have a look at the updated installation instructions in the docs for more details on how to selectively install optional dependencies!

🌳 New

• m.set_data(...) now directly accepts xarray.Datasets as input (see docs on how to assign datasets)
• There is a new pre-defined keypress callback: overlay_layer
  • You can use it to toggle showing a layer on top of the currently visible layer.

    m.all.cb.keypress.attach.overlay_layer(<layer-name>, key="a")

• The switch_layer keypress-callback now also accepts lists of layer-names (or lists of tuples (name, transparency))
• m.cb.pick.share_events() now supports the additional kwarg "ensure_same_id"
  • If True, all maps that share the pick-event will use the same ID to identify the relevant datapoint
  • If False, all maps that share the pick-event identify the closest datapoint based on the (reprojected) click position.
• The LayoutEditor now accepts -1 as width/height value for axes (to auto-adjust the value)

🕹️ Jupyter Widgets

There is now a collection of pre-configured Jupyter Widgets that can be used as control elements in Jupyter Notebooks!

Make sure to checkout the corresponding 🕹️ EOmaps Jupyter Widgets section in the docs!

🌦️ Changes

• ❗ Installation config is now provided as a pyproject.toml file (instead of setup.py)
• ❗ Supported python version is now >=3.8
• EOmaps now uses qtpy to support multiple Qt versions for the 🧰 Companion Widget!
• _version.py has been removed. The version is now specified in the [project] category of the pyproject.toml file.
• Actions now use micromamba to setup (and cache) test environments
• Colorbar kwargs show_outline and ylabel have been renamed to outline and hist_label

The following (previously deprecated) methods are now removed:

• m.set_data_specs $\Rightarrow$ use m.set_data instead
• m.add_wms.DLR_basemaps... $\Rightarrow$ use m.add_wms.DLR.basemap... instead
• m_inset.indicate_inset_extent $\Rightarrow$ use m_inset.add_extent_indicator instead

📖 Documentation updates

Make sure to checkout the fully updated API docs!

• Documentation environment was updated to most recent build dependencies
• Only minimal requirements to import eomaps are now installed for docs-build
• Info on how to configure VSCode/VSCodium for EOmaps has been added to the docs
• In general, the docs now (gradually switch to) use MySt and Jupyter Notebooks (parsed with myst_nb) to improve formatting, examples etc.

🔨 Fixes

• Make sure the widget is compatible with both Qt5 and Qt6
• Fix forcing colorbar-position inheritance
• Fix treatment of colorbar histogram style kwargs (e.g. edgecolor, facecolor, etc.)
• Address numpy binary incompatibility warning if netCDF4 is imported after numpy
• Fix inheriting colorbar positions from other colorbars
• Address unittest issue with contour-shape labels
• Avoid blocking the terminal in unittests for jupyter notebooks
• Fix missing docstring for DLR webmap service
• Fix issues for move-callbacks shared between multiple Maps
• Fix visibility of datasets when using "dynamic_shade_indicator" colorbars
• Fix assignment of vmin/vmax for "count" based shade-aggregation
• Fix treatment of masked values in evaluation of vmin/vmax for encoded datasets
• Fix issues with help-text popups of the CompanionWidget LayerTabBar
• Improvements for colorbar implementation
• Unify treatment of layer-name parsing
• Try to push current view to toolbar nav-stack after layout-restore
• Fix issues with help-popups of the LayerTabBar of the companion-widget
• Fix issues with figure-exports after m.apply_layout(...)
• Fix treatment of reprojected 1D datasets with shade_raster shape
• Fix parsing maxsize argument in companion widget for raster-shape
• Fix treatment of infinite values in weighted colorbar histograms
• Allow passing transform-kwarg to m.add_text(...)
• Fix truncating companion-widget title if too long
• Make sure companion-widget dataset-dropdown is elided
• Avoid memory-leaks caused by artist-references in pick-containers
• Fix numpy.ma.masked_array issues with datashader/numba when using "shade_points"
• Fix handling pick-events that do not have an "idx" property
• Fix raster-aggregation if block-size cannot be evaluated (e.g. None)
• Fix handling of pick-events that do not have an "idx" property
• Make sure keypress-events are triggered irrespective of the toolbar mode
• Make sure LayoutEditor x0, y0 values are always set as specified
• Fix issues with string-type dpi values passed to savefig
• Avoid pandas dependency when attempting to use raster shape with 1D datasets
• Make sure data encoding fill-value is properly applied