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Final edits for revision 2022 - #28

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jorisvandenbossche merged 10 commits into
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Nov 20, 2022
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Final edits for revision 2022#28
jorisvandenbossche merged 10 commits into
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@stijnvanhoey

@stijnvanhoey stijnvanhoey commented Nov 20, 2022

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Minor adjustments; technically all worked. Some things to remember:

  • We did not really tackle interactive graphs duplicate section #22 yet (duplication in the interactive part). For this PR, I updated the hvplot/geoviews section in the vis 4 notebook.
  • The dask-notebook uses a custom data set which I do not have available. Is a showcase, but might be good to have a recipe to recreate. Maybe I just missed that one.
@stijnvanhoey stijnvanhoey changed the title Final revision Nov 20, 2022
"<details><summary>Hints</summary>\n",
"\n",
"* The tif file represents a single layer (with one band), so you can use `xarray.open_dataarray()` to read it into an xarray.DataArray.\n",
"* With `mask_and_scale=False)` the `int8` data type will be kept wehn reading in the data.\n",

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"* With `mask_and_scale=False)` the `int8` data type will be kept wehn reading in the data.\n",
"* With `mask_and_scale=False` the `int8` data type will be kept wehn reading in the data.\n",
Comment thread notebooks/case-curieuzeneuzen-air-quality.md Outdated
clim=(0.05, 0.2)) # 'robust' option is not available
```

Similar to matplotlib plots using cartopy (see notebook `visualization-03-cartopy.ipynb`), the CRS informaiton can be used.

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Similar to matplotlib plots using cartopy (see notebook `visualization-03-cartopy.ipynb`), the CRS informaiton can be used.
Similar to matplotlib plots using cartopy (see notebook `visualization-03-cartopy.ipynb`), the CRS information can be used.
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