Max
Max
> B) That's an easy fix as well (`max_selections: 1`) Ahh, thank you. I must have overlooked this in your documentation. > C) behold! That's interesting! I was not aware...
> > Does this require a specific version of the card or of Home Assistant? > > Yup, a future one ;) OK, I see it's in the `dev` branch....
> You can also download a built version here: > https://github.com/PiotrMachowski/lovelace-xiaomi-vacuum-map-card/actions?query=branch%3Adev > Just select a commit and download an artifact Thanks, I will give it a try.
> ```yaml > payload: >- > {"command": "zoned_cleanup","zone_ids": [{%for s in > ('[[selection]]')|from_json %}{ "id": "{{s}}", "repeats": > [[repeats]]}{%if not loop.last%},{%endif%}{%endfor%}],"afterCleaning": > "Stop"} > ``` I have tested it with...
Thanks for all the swift replies and help. So: A) `clean_segment` (rooms) should use external repeat: See PR #448 B) `goto_predefined` should only allow a single selection: Fixed in d0a4445...
I recently needed to plot contours in a ternary plot as well. Thanks to the code linked by @marcharper, I created the following (semi minimal example) utilizing the [matplotlib contour...
My [paper ](https://www.sciencedirect.com/science/article/pii/S2468023021004296) including ternary contours was finally accepted (PR for citation #176). Thanks to this nice project I created beautiful plots including contours based on the minimal example provided...
@Mukilesh-K Is this a python-ternary related issue? Maybe the procedure I suggested in my [ternary contour example](https://github.com/marcharper/python-ternary/blob/master/examples/ternary_contours.py#L40-L49) could help?
Maybe it helps to smoothen your data, for example using [SavGol](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.savgol_filter.html) filter?
> > Maybe it helps to smoothen your data, for example using [SavGol](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.savgol_filter.html) filter? > > Usually it is to carry on the filter processing to the two-dimensional data, but...