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.
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?
And that they are doing it already in many cases, anyway.
But getting a brand and connections to a huge community of data scientists with 0-2 years of experience can be very valuable I think. Those data scientist will be the decision takers tomorrow.
Why does images now upload as image links instead of an image I can view directly?
Data App Frameworks are getting a place. Thats what I would say. I think Panel deserves to be there. But I doubt it will ever get there. Not because of the technology but because of the support behind it.
I assure you, all these things are discussed extensively within Anaconda, but so far the HoloViz tools have been primarily developed as ways that our customers can achieve great things, as funded directly by those customers, without necessarily requiring alignment between HoloViz's future and Anaconda's commercial activities. If such alignment does occur, I can easily imagine launching a similar service, and as mentioned doing so has been regularly proposed and considered for many years. So far it hasn't lined up with the roadmap of our commercial activities, but that's not to say it won't next month or next year. That said, other tools may already have deep inroads into mindshare at that point, which is a risk we all take.
Yes, putting a statement like that on our sites, on balance, probably will be a good idea. I'll try to draft something.
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/plotting/plot.py in compute_ranges(self, obj, key, ranges)
633 if (not (axiswise and not isinstance(obj, HoloMap)) or
634 (not framewise and isinstance(obj, HoloMap))):
--> 635 self._compute_group_range(group, elements, ranges, framewise, self.top_level)
636 self.ranges.update(ranges)
637 return ranges
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/plotting/plot.py in _compute_group_range(cls, group, elements, ranges, framewise, top_level)
786 values = el.nodes.dimension_values(2, expanded=False)
787 else:
--> 788 values = el.dimension_values(el_dim, expanded=False)
789 elif isinstance(el, Graph) and el_dim in el.nodes:
790 values = el.nodes.dimension_values(el_dim, expanded=False)
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/core/data/__init__.py in pipelined_fn(*args, **kwargs)
214
215 try:
--> 216 result = method_fn(*args, **kwargs)
217
218 op = method_op.instance(
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/core/data/__init__.py in dimension_values(self, dimension, expanded, flat)
1069 """
1070 dim = self.get_dimension(dimension, strict=True)
-> 1071 return self.interface.values(self, dim, expanded, flat)
1072
1073
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/core/data/xarray.py in values(cls, dataset, dim, expanded, flat, compute, keep_index)
376 if not keep_index:
377 data = cls.canonicalize(dataset, data, data_coords=data_coords,
--> 378 virtual_coords=virtual_coords)
379 return data.T.flatten() if flat and not keep_index else data
380 elif expanded:
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/core/data/grid.py in canonicalize(cls, dataset, data, data_coords, virtual_coords)
341
342 if not any(cls.irregular(dataset, d) for d in dataset.kdims):
--> 343 inds = [dims.index(kd.name) for kd in dataset.kdims]
344 inds = [i - sum([1 for d in dropped if i>=d]) for i in inds]
345 if inds:
~/anaconda3/envs/py3/lib/python3.7/site-packages/holoviews/core/data/grid.py in <listcomp>(.0)
341
342 if not any(cls.irregular(dataset, d) for d in dataset.kdims):
--> 343 inds = [dims.index(kd.name) for kd in dataset.kdims]
344 inds = [i - sum([1 for d in dropped if i>=d]) for i in inds]
345 if inds:
ValueError: 'lon' is not in lis
:NdLayout [var,group]
:HoloMap [tau_day,season,region]
:Image [lon,lat] (values,var)
I've just done a major contribution of PerspectiveViewer, Tabulator and PivotTable widgets. Feel free to help out reviewing holoviz/panel#1690
Hi everyone!
I need help with my university project.
We want to use Clifford Attractors to give Arduino robot trajectories to achieve Light Painting Artworks.
So we used https://examples.pyviz.org/attractors/attractors.html to get the points, but we are in a deadlock.
We can't use all the points, so we need to "filter" the data frame to obtain the point coordinates that appear most frequently (in any case, the regions of points) to get usable data for the trajectories of our robots.
Do you think anyone can help me?
PS: I am French. Please excuse my spelling.
def _disable_logo_func(plot, element): # pylint: disable=unused-argument
plot.state.toolbar.logo = None
def disable_logo():
"""Removes the Bokeh logo from any plots created by Holoviews after running this command"""
plot = hv.plotting.bokeh.ElementPlot
if not _disable_logo_func in plot.hooks:
plot.hooks.append(_disable_logo_func)
(because you cannot say hv.plotting.....)
I want it applied to all plots. Not just individual ones
I also tried hv.extension("bokeh", logo=False) without luck. C.f. https://stackoverflow.com/questions/47585887/remove-bokeh-logo-in-holoviews
I don't know a convenient way to disable it globally for all plots, but I agree that would be nice to have.
@RaphyStark, be careful using Attractors in that way, because the equations actually include discrete jumps that I don't think your robot can do. :-) Before using a particular pattern, use the https://examples.pyviz.org/attractors/attractors_panel.html dashboard and select a plot_type of "line" and not "points", to connect up between each point. When you do that, you'll see that the pattern changes dramatically, because the equations lead to big jumps in space from one discrete point to the next (for Clifford patterns; others have different properties). So first be sure you're dealing with a pattern that is meaningful to treat as a real trajectory.
Then when you do that, I'm not sure what you're after; you can always decrease N to have fewer discrete steps.
You can also take the output of datashader and sort the locations by aggregated value (most-visited pixels), but I don't see how that would map on to any commands to a robot; the equations themselves already work for that (if it can navigate to a named point in a grid).
And if you just want to dive into the gallery of apps