Moritz Schreiber
Moritz Schreiber
This is a feature request, to enable the user to overwrite `"Choose version"` with a string the user preferes. In my case I want to show the build version of...
I was reading the docs for an example using xarray and I found * https://hvplot.holoviz.org/user_guide/Gridded_Data.html#n-d-plots * https://tutorial.xarray.dev/intermediate/hvplot.html#animations On both pages the examples with a slider or other interactive widgets don't...
This PR fixes the [explicit selection glyph example](https://docs.bokeh.org/en/latest/docs/examples/styling/plots/glyph_selection_models.html) by adding size parameter to the Scatter model, which is by default 4. - [ ] issues: fixes #13957 Here the result...
Software versions ### Software versions ``` Python version : 3.12.4 (tags/v3.12.4:8e8a4ba, Jun 6 2024, 19:30:16) [MSC v.1940 64 bit (AMD64)] IPython version : 8.25.0 Tornado version : 6.4.1 Bokeh version...
This is a duplicate of https://github.com/holoviz/hvplot/issues/1369. I was asked to open the same issue here. ------ I am running a `hvplot()` on a `xarray` in a `Jupyter Notebook` in `VSCode`...
I suggest to improve the section about [missing-points](https://github.com/bokeh/bokeh/blob/branch-3.7/docs/bokeh/source/docs/user_guide/basic/lines.rst#missing-points) by adding a comment of the behavior of `None` vs `nan` from `math` or `np.nan` from `numpy`. ```python from math import nan...
### Context If ipython is used to run the code examples in the documentation and there are more than 9 cells, the regular expression suggested in [using regexp prompt identifiers](https://sphinx-copybutton.readthedocs.io/en/latest/use.html#using-regexp-prompt-identifiers)...
In the latest version of `hvplot` plotting stacked bars from a DataFrame with multiple columns is broken. See the [second example](https://hvplot.holoviz.org/user_guide/Plotting.html#bars) in the latest docs. #### minimal example ```python from...
At the moment hvplot doesn't offer the opportunity to add a legend if the data only has one entry. The example below uses pandas, but I think this is also...