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At this point in time, I think it would be useful to have a separate category that relies on a different operator than the annual climatology plots. Reading in a dataset and then calling esmlab.statistics.weighted_mean() with ds.TAREA as weights and then plotting global average vs time should be easy to implement (and issues encountered along the way can help motivate #13)
The text was updated successfully, but these errors were encountered:
At this point in time, I think it would be useful to have a separate category that relies on a different operator than the annual climatology plots. Reading in a dataset and then calling
esmlab.statistics.weighted_mean()
withds.TAREA
as weights and then plotting global average vs time should be easy to implement (and issues encountered along the way can help motivate #13)The text was updated successfully, but these errors were encountered: