Siddhant Sadangi

Still doesn't work. Tested on Windows 11

any update here? Are we stuck with using matplotlib 3.4?

> [#3624 (comment)](https://github.com/plotly/plotly.py/issues/3624#issuecomment-1161805210) is probably the best solution at the moment(?). This unfortunately won't work in our case as we use github actions :(

Hello @lindseynield, [neptune-client 0.16.8](https://github.com/neptune-ai/neptune-client/releases/tag/0.16.8) introduced the `trash_objects()` method that you can use to delete Neptune runs, models, and model versions. You can read more about it in our docs: https://docs.neptune.ai/api/management/#trash_objects...

Hello @wjaskowski, Sorry for the delay in communication here. We introduced this feature in neptune-client release [0.16.7](https://github.com/neptune-ai/neptune-client/releases/tag/0.16.7). You can use the `columns` parameter of the `fetch_runs_table()` method to filter the...

@kimjanq - in addition to @Blaizzy's workaround on how you can do it **now**, we also have native support for this feature under consideration in our roadmap: https://portal.neptune.ai/c/85-partially-clear-a-series-field It would...

Hello @fwindolf , This feature request is quite deep in our backlog, so currently, there is no ETA for it, unfortunately. Is this behavior a blocker for your workflows?

Would replacing the `nan`/`inf` values with `0`/some high-end value while logging be a viable workaround in your case? Something like: ```python import math metric = float("nan") if math.isna(metric ): run["my_metric'].append(0)...

Hello @fwindolf , Just checking if the above workaround works for you

Did you mean ~not~ logging nans as 0? :)