grass.jupyter: timeseries visualizations #2010
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veroandreo
reviewed
Dec 10, 2021
Co-authored-by: Veronica Andreo <veroandreo@gmail.com>
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Looking cool so far :)
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Really nice! Tested in Binder. It currently prints: |
Thanks for checking it out! The printout at the bottom should be gone with the latest commit. |
wenzeslaus
requested changes
Mar 25, 2022
wenzeslaus
requested changes
Apr 7, 2022
wenzeslaus
reviewed
Apr 13, 2022
wenzeslaus
reviewed
Apr 13, 2022
wenzeslaus
reviewed
Apr 13, 2022
wenzeslaus
reviewed
Apr 13, 2022
wenzeslaus
reviewed
Apr 13, 2022
wenzeslaus
approved these changes
Apr 13, 2022
wenzeslaus
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ninsbl
pushed a commit
to ninsbl/grass
that referenced
this pull request
Oct 26, 2022
* Adds notebook which downloads extra temporal data for the examples. * strds and stvds are supported. * Only default style for display is supported (not a big issue for rasters). * Gaps in datasets by default are empty but with all base layers and overlays. * Gaps can be optionally filled with data from previous timestamp. * Renders all images to temp directory managed by Python object. * Cleanup using weakref finalize to avoid warning from Python library where weakref finalize is used, but only as a fallback. * Interactive display is using slider widget. * Animation is available as GIF. * Rendering called internally and result is cashed and cache invalidated if needed. * Base layer and overlay handling is done through a proxy object which allows usage of display commands. * Legend and background color are handled separately. * t.rast.list and t.vect.list results are parsed from plain text output (to be replaced by JSON). * Tests use pytest.
ninsbl
pushed a commit
to ninsbl/grass
that referenced
this pull request
Feb 17, 2023
* Adds notebook which downloads extra temporal data for the examples. * strds and stvds are supported. * Only default style for display is supported (not a big issue for rasters). * Gaps in datasets by default are empty but with all base layers and overlays. * Gaps can be optionally filled with data from previous timestamp. * Renders all images to temp directory managed by Python object. * Cleanup using weakref finalize to avoid warning from Python library where weakref finalize is used, but only as a fallback. * Interactive display is using slider widget. * Animation is available as GIF. * Rendering called internally and result is cashed and cache invalidated if needed. * Base layer and overlay handling is done through a proxy object which allows usage of display commands. * Legend and background color are handled separately. * t.rast.list and t.vect.list results are parsed from plain text output (to be replaced by JSON). * Tests use pytest.
neteler
pushed a commit
to nilason/grass
that referenced
this pull request
Nov 7, 2023
* Adds notebook which downloads extra temporal data for the examples. * strds and stvds are supported. * Only default style for display is supported (not a big issue for rasters). * Gaps in datasets by default are empty but with all base layers and overlays. * Gaps can be optionally filled with data from previous timestamp. * Renders all images to temp directory managed by Python object. * Cleanup using weakref finalize to avoid warning from Python library where weakref finalize is used, but only as a fallback. * Interactive display is using slider widget. * Animation is available as GIF. * Rendering called internally and result is cashed and cache invalidated if needed. * Base layer and overlay handling is done through a proxy object which allows usage of display commands. * Legend and background color are handled separately. * t.rast.list and t.vect.list results are parsed from plain text output (to be replaced by JSON). * Tests use pytest.
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TimeSeriesclass forgrass.jupyter:Binder Test Link:
https://mybinder.org/v2/gh/chaedri/grass/Jupyter-Timeseries?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2Ftemporal.ipynb