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Bump bokeh from 2 to 3 #94

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Oct 4, 2023
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Bump bokeh from 2 to 3 #94

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4d43c71
Bump bokeh from 2.4.3 to 3.2.2, geoviews from 1.9.5 to 1.10.1
weiji14 Oct 2, 2023
3ab613b
Bump hvplot from 0.8.2 to 0.8.4
weiji14 Oct 2, 2023
1d797c9
[condalock-command] autogenerated conda-lock files
actions-bot Oct 2, 2023
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26 changes: 13 additions & 13 deletions conda-linux-64.lock
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# Generated by conda-lock.
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Expand Down Expand Up @@ -480,7 +480,6 @@ https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.8.5-py310h2372a71_0.co
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6 changes: 3 additions & 3 deletions environment.yml
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Expand Up @@ -59,10 +59,10 @@ dependencies:
- xarray>=2023.05.0

# Visualization packages
- bokeh==2.4.3
- bokeh~=3.2.2
- cartopy~=0.21.1 # geospatial plotting with matplotlib
- geoviews==1.9.5
- hvplot==0.8.2
- geoviews~=1.10.1
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Have tested the interactive visualization with the binder link https://mybinder.org/v2/gh/CryoInTheCloud/hub-image/bokeh-3. Using the first example from https://geoviews.org

import geoviews as gv
import geoviews.feature as gf
import xarray as xr
from cartopy import crs

gv.extension("bokeh")

# %%
(gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).opts(
    'Feature', projection=crs.Geostationary(), global_extent=True, height=325).cols(3)

produces

image

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If anyone has ideas on how we add a test to ensure the interactive visualization doesn't break in future Bokeh/Holoviews/Hvplot/Geoviews updates, I'm all ears!

- hvplot~=0.8.4
- ipyleaflet~=0.17.3
- ipympl==0.9.2 # This enables matplotlib interaction with jupyter widgets
- matplotlib==3.6.2
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