html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/3709#issuecomment-1016113078,https://api.github.com/repos/pydata/xarray/issues/3709,1016113078,IC_kwDOAMm_X848kKe2,42288570,2022-01-19T06:03:03Z,2022-01-19T06:03:42Z,NONE,"Sophia Yang and I wrote a blog post about hvplot interactive. It's based on Pandas dataframes but it works the same way for Xarray. Check it out https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1 [![the-easiest-way](https://user-images.githubusercontent.com/42288570/150073200-8aaf0ad4-9dad-4120-ad6a-edaf0ec892e6.gif)](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) You can also find the repo and links to binder+colab here https://github.com/sophiamyang/hvplot_interactive [![hvplot-interactive-binder (2)](https://user-images.githubusercontent.com/42288570/150073235-9cf37f10-fd96-4e01-91d8-b982547c362d.gif)](https://github.com/sophiamyang/hvplot_interactive) ","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,552500673 https://github.com/pydata/xarray/issues/3709#issuecomment-962238124,https://api.github.com/repos/pydata/xarray/issues/3709,962238124,IC_kwDOAMm_X845Wpas,42288570,2021-11-05T21:40:04Z,2021-11-05T21:40:04Z,NONE,I meant to at this link to the PyData Talk on .interactive including video https://discourse.holoviz.org/t/pydata-2021-build-polished-data-driven-applications-directly-from-your-pandas-or-xarray-pipelines/3017/4,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552500673 https://github.com/pydata/xarray/issues/3709#issuecomment-962121849,https://api.github.com/repos/pydata/xarray/issues/3709,962121849,IC_kwDOAMm_X845WNB5,42288570,2021-11-05T18:28:30Z,2021-11-05T18:28:58Z,NONE,"Just for completeness. You can find @philippjfr PyData 2021 `.interactive` talk here https://pydata.org/global2021/schedule/presentation/51/build-polished-data-driven-applications-directly-from-your-pandas-or-xarray-pipelines/. Quite powerful. ![image](https://user-images.githubusercontent.com/42288570/140560527-95ef810a-5f21-4ed7-aa71-53d641daa5dd.png) Inspired by that I've created a `gist` here https://gist.github.com/MarcSkovMadsen/e666503df2aa1d8d047dcb9555b5da6d. It's for a pandas DataFrame. But the principle is the same for `xarray`. https://user-images.githubusercontent.com/42288570/140560629-818083cc-838a-41f4-8908-7a66791d8ce6.mp4 ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552500673