I’m trying to make a box plot with the following arrays y = array([[16.2, 16.2, 16.2, ..., 15.9, 16.5, 15.5], ..., [13.8, 14.8, 12.9, ..., 13.3, 16.1, 13.3]]) > y.shape = (110, 40) x = array(['2023-08-03T08:00:00.000000000', '2023-08-03T09:00:00.000000000', ... …

I had to trust ChatGPT for this one. Suppose you have dataframe made like this time temperature_2m temperature_2m_member01 temperature_2m_member02 temperature_2m_member03 … 2023-11-13 14:00:00+05:00 14.8 15.1 14.9 14.8 … 2023-11-13 15:00:00+05:00 15.4 15.8 15.5 15.4 … 2023-11-13 16:00:…

Hey, thanks for the reply. I’m trying to structure a MRE but I haven’t had the time yet. I think the problem stems from the fact that plotly does not interpret correctly the array N x M that I’m passing as y. I was under the impression that the default behaviour would be as in matplotlib: you pass…

Boxplot with time xaxis plotting y as categorical

📊 Plotly Python

AIMPED August 2, 2023, 3:51pm 2

HI @guidocioni,

could you provide a MRE?

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Boxplot with time xaxis plotting y as categorical

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