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.
Ah, I wasn't paying close attention to what you are doing. A legend will be generated for an overlay of points on points, to distinguish between two different sets of datapoints. So if you separate your points into two different Scatter elements then overlay them, you'll get the legend you want. You can use a groupby to set up such categories. But if you have a column with your color, you could supply an infinite number of different 'label' arguments, which isn't something legends are set up to handle, so there's no direct way to set up a legend for that case that I know of. So, first get a finite set of different groups, then plot those as an overlay.
as such:
randcol = lambda : f'#{randhex()}{randhex()}{randhex()}'
data = pd.DataFrame({
'x': np.arange(0,1,0.1),
'y': np.arange(0,1,0.1),
'color': [randcol()]*5 + [randcol()]*5,
'label': ['a']*5 + ['b']*5,
})
overlay = []
for label, df in data.groupby('label'):
scatter = hv.Scatter(df, kdims=['x', 'y'], vdims=['color', 'label'], label=label).opts(color='color', show_legend=True)
overlay.append(scatter)
hv.Overlay(overlay)???
Or, to get better labels,
hv.Scatter(data, kdims=['x', 'y'], vdims=['color', 'label'], label='label').groupby('label').overlay()
You surely aren't the only one to wonder!
conda install -c pyviz holoviz
I get the error
ERROR conda.core.link:_execute(700): An error occurred while installing package 'defaults::rise-5.6.1-py37_1'.
I get the error
ERROR conda.core.link:_execute(700): An error occurred while installing package 'defaults::rise-5.6.1-py37_1'.
trying to install hvplot following
https://hvplot.holoviz.org/developer_guide/index.html#preliminaries
https://hvplot.holoviz.org/developer_guide/index.html#preliminaries
That's annoying. Seems like some issue with the Windows conda package for rise? Users don't actually need rise unless you want to do a live presentation (Jupyter used like PowerPoint), so hopefully there's some configuration you'll be able to install in any case. What happens if you specify a different RISE version, e.g.
conda install -c pyviz holoviz rise=5.5?
May I ask for help getting started with hvplot https://stackoverflow.com/questions/64374829/convert-matplotlib-to-interactive-holoviews-datashader-visualization-ideally when converting an existing matplotlib visualization of timeseries to an interactive data-shadered hvplot. I am stuck assigning the right colors for the individual categories and creating a dynamic filter (preferably with a brush)
Hi @geoHeil . Try asking for help on Discourse. Please include a minimum, reproducible code example that the community can help you improve. Thanks.
If you missed it Streamlit Sharing has been released. One click deployment and free hosting of open source, community apps. This is such a competitive advantage for Streamlit. I've seen Plotly tweet that they have had a description for free hosting on Heroku. But this is still too advanced for the many users of analytics apps frameworks. It can be costly for Streamlit to host. But they get data on all the users and use cases of Streamlit. It is such a brilliant move. Great for Streamlit. Great for the Streamlit community. Great for Python. https://www.streamlit.io/sharing.
Does Anaconda or someone else close to the HoloViz ecosystem see something similar as a huge opportunity to provide?
Also try clicking some of the apps to get a feel for the look and feel that Streamlit provides.
At least providing something even simpler based on the Heroku description here https://dash.plotly.com/deployment could be an idea and a huge win I believe.
https://panel.holoviz.org/user_guide/Server_Deployment.html I think panel already does show how to deploy on Heroku here
Anyone else have issues with bokeh after creating a fresh env (as of yesterday)? I'm getting
(unknown) [bokeh] JS/Python version mismatch
(unknown) [bokeh] Library versions: JS (2.2.1) / Python (2.2.3)Apologies if this is the wrong place, but the Bokeh gitter doesn't seem to be a thing anymore.
I don't know where/what needs to be updated to update the JS library
@MarcSkovMadsen , hosting public apps in that way has been discussed as a possibility by Anaconda for the entire time I've been working there, but nothing concrete has happened on that front.
I agree (and have argued internally) that it would be a great idea.
The thing I don't understand is why Heroku, AWS, Azure, Google Cloud and other cloud providers don't provide the same simple 3 step technical solution.
Streamlit is anticipating a revenue stream, whereas Anaconda is not expecting any money to flow from Panel.
The real question is whether Streamlit's revenue model will support their deployment server fully, in the long run. I don't know enough about it to have an opinion there.
Anaconda can definitely provide support for Panel, with an hourly rate for work done.
I assume that the VCs who invested in them believe in their revenue model. Panel is not VC funded.
The thing I am in doubt about is the revenue model. Because the Enterprises I know about prefers being in control. And they have the resources to configure CI/ CD and run Streamlit, Voila, Panel, Dash etc. in their own environments. Why buy that service when it's so easy for DevOps to do themselves?