For questions, use https://discourse.holoviz.org/ instead! This chat is for informal discussions and debugging sessions with developers of the HoloViz.org tools (HoloViews, Datashader, Panel, hvPlot, GeoViews, Param, etc.), but user questions should go to the HoloViz Discourse site so that others won't have to ask them again.
Here's my code but it want to customize it by having only subplot in row1 covering two columns
import colorcet as cc
ltg_data = lma.get_active() # returns a copy of the data, as a Pandas Dataframe
ltg_data = ltg_data[(ltg_data['alt'] <=20)]
points1 = hv.Points(ltg_data,kdims=['lon','alt'])
datashaded1 = hd.datashade(points1,cmap=cc.fire).redim.range(y=(0,20),x=(-87.6,-86.8))
plot1 = hd.dynspread(datashaded1, threshold=0.10, how='over').opts(height=300,width=600)
points2 = hv.Points(ltg_data,kdims=['lat','alt'])
datashaded2 = hd.datashade(points2,cmap=cc.fire).redim.range(y=(0,20),x=(-34,34.4))
plot2 = hd.dynspread(datashaded2, threshold=0.10, how='over').opts(height=300,width=600)
points3 = hv.Points(ltg_data,kdims=['time','alt'])
datashaded3 = hd.datashade(points3,cmap=cc.fire).redim.range(y=(0,20))
plot3 = hd.dynspread(datashaded3, threshold=0.10, how='over').opts(height=300,width=600)
points4 = hv.Points(ltg_data,kdims=['lon','lat'])
datashaded4 = hd.datashade(points4,cmap=cc.fire).redim.range(y=(-34,34.4),x=(-87.6,-86.8))
plot4 = hd.dynspread(datashaded4, threshold=0.10, how='over').opts(height=300,width=600)
hv.Layout([plot1,plot2,plot3,plot4]).cols(2)
HI @gewitterblitz . Try posting the question on Discourse https://discourse.holoviz.org/. Looks like something that the community can help with and it will help build the knowledge base. Thanks.
Does anyone know how to draw the line & labels across multiple indices?
I can draw this bars
but I don't know how to draw the lines and labels, since the indices are multiple columns
demo = {
'ds': [3,3,3,3,4,4,4,4],
'case': ['A', 'A', 'B', 'B', 'A', 'A', 'B', 'B'],
'model': ['model1', 'model2', 'model1', 'model2', 'model1', 'model2', 'model1', 'model2'],
'acc': [0.1, 0.5, 0.3, 0.7, 0.2, 0.4, 0.6, 0.8],
'acc_pct': ['10.00%', '50.00%', '30.00%', '70.00%', '20.00%', '40.00%', '60.00%', '80.00%'],
'acc_std': [0.01, 0.02, 0.03, 0.04, 0.02, 0.01, 0.04, 0.03]
}
pd.DataFrame(demo)
demo=pd.DataFrame(demo)
demo_plot = demo.query('ds==3').filter(items=['case', 'model', 'acc'])
print(demo_plot)
# ------ bars ------ #
bars = hv.Bars(demo_plot, ['case', 'model'], ['acc']).opts(opts.Bars(
ylim=(0, 1),
bar_width=0.5,
# border=0,
cmap='Category20',
# show_frame=False,
))
bars
how about Labels & lines?
(In Bokeh.)
I was looking at http://holoviews.org/Examples/index.html
Does philippjfr.com still exist? The link appears dead.
Specifically, I was looking for the Julia notebook.
I'd really like to be able to combine holoviews plots and Julia functions....
Seems like I'm not the only one experimenting with Pyodide and data apps https://www.linkedin.com/posts/itaydafna_dashboards-plotly-dataviz-activity-6792319260841656320-Ad4S
Seems like I am not the only experimenting with Transcrypt and data apps https://community.plotly.com/t/transcrypt-transpiling-python-to-javascript/44106/8
Lumen is more declarative? Does it really scale out to billions of rows?
ie will it appropriately pull in Datashader for the raster, and is it configurable enough, or is it too early.
The bokeh server is started using this script https://github.com/ideonate/bokeh-root-cmd/blob/master/bokeh_root_cmd/main.py
I.e. using the command
app = build_single_handler_application(app_py_path, ['/']).
Will that work for Panel apps in general? Or is Panel doing something today so that it is no longer compatible with Bokeh?
Seems like I am not the only experimenting with Transcrypt and data apps https://community.plotly.com/t/transcrypt-transpiling-python-to-javascript/44106/8
Isn't it when you should be coming in and mention panel :p ?
Maybe @hyamanieu. I don't know if is good behavior to open source colleagues. For example on Streamlit github and discourse there are lots of requests from users that are easy to solve with Panel. But going in and commenting you can try out Panel is probably not good behavior.
Hi,
I'm new to Panel, started one week ago, and I can't figure out why the app (python file) I build and serve using
I'm using the last version 0.12.0a8
Is there anything that need to be configured in order to deploy server for multi user?
I'm using Windows and Pycharm.
Thanks in advance.
I'm new to Panel, started one week ago, and I can't figure out why the app (python file) I build and serve using
panel serve app.py is mirrored when multi users connecting.I'm using the last version 0.12.0a8
Is there anything that need to be configured in order to deploy server for multi user?
I'm using Windows and Pycharm.
Thanks in advance.
Maybe @hyamanieu. I don't know if is good behavior to open source colleagues. For example on Streamlit github and discourse there are lots of requests from users that are easy to solve with Panel. But going in and commenting you can try out Panel is probably not good behavior.
yes of course, I was just teasing.
Hi guys and gals. Impressed by the stack of demos @MarcSkovMadsen built with panel, streamlit, and some data analytics packages I enjoy working with too, I've decided to join your discourse to learn more about the cool things we can do with your stack. My handle there: https://discourse.holoviz.org/u/datapixy You might know me as 'dataPixy' on twitter or in vscode dev community slack workspace where I've been an active contributor for some time. Some might even use my data viz extensions in vscode: https://marketplace.visualstudio.com/publishers/RandomFractalsInc I am looking to dive deeper into data analytics and maybe draft some cool demos with your libs in the months to come. Just wanted to say Hi for now.
Hi @RandomFractals . Welcome. I use some of the VS Code extensions and they are great and of high quality. Thanks.
1 reply
I know you are very capable with DataViz in JS also. And a user of ObservableHQ. I have sometimes been thinking that when you have all that skill in JS what draws you to Python still? And when would you use Python over JS?
6 replies