grass.jupyter: timeseries visualizations#2010
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wenzeslaus merged 57 commits intoOSGeo:mainfrom Apr 13, 2022
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veroandreo
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Dec 10, 2021
Co-authored-by: Veronica Andreo <[email protected]>
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Looking cool so far :)
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Really nice! Tested in Binder. It currently prints: |
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Thanks for checking it out! The printout at the bottom should be gone with the latest commit. |
wenzeslaus
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Mar 25, 2022
wenzeslaus
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wenzeslaus
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wenzeslaus
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wenzeslaus
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wenzeslaus
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wenzeslaus
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ninsbl
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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
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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
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to nilason/grass
that referenced
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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