Maxime Liquet

Results 316 issues of Maxime Liquet

The `regrid` operation does not seem to take into account `width` and `height` when using the Bokeh backend. The example shows that it does work with the Matplotlib backend. Notice...

type: bug

The plotly backend seems to support bivariate plots: ```python import numpy as np import holoviews as hv hv.extension('plotly') normal = np.random.randn(1000, 2) hv.Bivariate(normal) ``` ![image](https://user-images.githubusercontent.com/35924738/155244303-bf04976f-0ff5-4fe0-868e-50b809a1cfa4.png) However creating a bivariate plot...

type: bug
tag: backend: plotly
type: hvplot

The `show_legend` option doesn't have the same effect given the selected backend. In the example below with `show_legend=True` the legend is displayed with Plotly. It is not displayed with both...

type: bug
tag: backend: plotly
type: hvplot

This issue reports an error observed while implementing the matplotlib backend hvplot. It extracts a code path from hvplot that generated the error, as I assumed that the error lied...

type: bug
tag: backend: mpl
type: hvplot

From the `master` branch, the issue being on the right plot below which has a `FreeHandDraw` tool attached with the `styles` parameter set. ![issue_freehand](https://user-images.githubusercontent.com/35924738/144395236-6e4e4e07-b13b-4a88-afc8-1c9d46e585c8.gif)

type: bug

The following snippet correctly returns a Box-Whisker plot grouped by *carrier* with the Bokeh backend but just returns an empty plot with the matplotlib backend. ```python import holoviews as hv...

type: bug
tag: backend: mpl
type: hvplot

Ticks can be formatted by providing a function which will be compiled to JS using `pscript` (if installed) when using Bokeh. Bokeh has dropped support of this kind of approach...

tag: backend: bokeh
type: discussion

The test suite sometimes encounters spurious test failures, the last run just failed because of `TestOverlayPlot.test_active_tools_draw_stream` and I've decided to log that in this issue. This is the failing test:...

type: bug

The last release on PyPi - `pydensecrf 1.0rc3` - dates from 2018. Is there a new release planned? I believe this would help fixing the automatic builds attempted by conda-forge...

As suggested in https://github.com/lucasb-eyer/pydensecrf/issues/114#issuecomment-1136926270 Happy to pick another version number if you prefer of course!