Andrea Vignaroli Ørsted

Hi Neil, thanks for the heads up. I missed the xarray to bwc conversion functionality. I will give it a try. The format of the pandas dataframe is very simple and it's something i came up with. The format of time series in Ørsted is standardized only at the database level. WS_35m WD_35m ... WD_285m SD_285m timestamp ... 2022-08-10 05:00:00 NaN NaN ... NaN NaN 2022-08-10 05:10:00 1.579420 111.637028 ... 200.177297 0.271540 2022-08-10 05:20:00 1.589379 132.519061 ... NaN NaN 2022-08-10 05:30:00 1.740071 133.400359 ... 161.574321 0.226531 2022-08-10 05:40:00 1.764799 143.742655 ... 163.586885 0.169169 ... ... ... ... ... 2023-01-31 23:10:00 NaN NaN ... NaN NaN 2023-01-31 23:20:00 NaN NaN ... NaN NaN 2023-01-31 23:30:00 NaN NaN ... NaN NaN 2023-01-31 23:40:00 NaN NaN ... NaN NaN 2023-01-31 23:50:00 NaN NaN ... NaN NaN [25170 rows x 9 columns]

Hello ex-colleagues! I am just being lazy and wanted to take advantage of Windkit's histogram plots, windrose plots and weibull fitting. i can't remember/find if the conversion from 10min statistics (well organized in a Pandas dataframe) to a tabfile is currently part of the package or not yet. My regards to everyone in RAM! Andrea