Open jorritscholze opened 1 year ago
+1 The sum is essential for many processes that accumulate over time: precipitation, energy from solar radiation, growing-degree-days, etc.
@jorritscholze @mdespriee yes, very useful indeed. Will address this issue asap.
Currently, xcube.core provides various aggregation methods in get_time_series like average, min, max, and count for numerical data. However, the ability to calculate and display percentiles and sum would greatly enhance the analytical capabilities and insights derived from the data.
The implementation of percentiles as an aggregation method could involve extending the existing aggregation functions in xcube.core. Users should be able to specify the desired percentile values (e.g., 25th, 50th, 75th) and apply them to the relevant numerical data columns.