Grégory Hammad

Hello @gauerin Thank you for the feedback. May I ask you to provide me with more info, so that I can reproduce the issue: - test data if possible (anonymised)...

Hello @gauerin Sorry for the late reply. I tried to crack open that nut but... Let me summarise. First, like many recordings, yours contains a fair amount of "non-wear periods"...

@ChronoKatie : this issue is labelled as "enhancement", meaning that it is on my "wish list" for the package. The idea is to implement a method to estimate, roughly, the...

Hello @ChronoKatie Thank you for the suggestion. Indeed, that would be helpful! I know that for large datasets, it is a enormous task. But, just to convince yourself about the...

Bonjour Raphaël. Thank you. Such message is always appreciated. Your suggestion is very welcome and makes sense. Under the hood, the BaseRaw class uses pandas. So it would be pretty...

PS: I just love [Pingouin](https://pingouin-stats.org/index.html)!

@raphaelvallat : the v1.0rc1 is out. And I also drafted a small tutorial on how to use the present "BaseRaw" class to read data from pandas.DataFrame: https://ghammad.github.io/pyActigraphy/pyActigraphy-Pandas.html Let me know...

Hello @alexandraingvars. Looking at the doc is usually a good practice. But indeed, there is a mismatch between the code and the doc in this case. You made me realise...

Hello @amondino Indeed, the "wear" sensor is either no present on some models or simply not configured in your recordings. It has been fixed in this [commit](https://github.com/ghammad/pyActigraphy/pull/71). Until I make...

Hi @amondino ; it is fixed. But just to be sure: it is a link to a commit that shows the issue has been fixed. For your own info. Now,...