- DataSet.tmax(over='time', align='right', window=None)#
tmax: Calculate the temporal maximum of all variables.
Useful for: monthly maximum, annual/yearly maximum, seasonal maximum, daily maximum, daily climatology, monthly climatology, seasonal climatology
over (str or list) – Time periods to average over. Options are ‘year’, ‘month’, ‘day’. This operates in a similar way to the groupby method in pandas or the tidyverse in R, with over acting as the grouping.
align (str) – This determines whether the output time is at the left, centre or right hand side of the time window. Options are “left”, “centre” and “right”
window (int) – This determines the number of time steps to calculate the maximum over to calculate over, on a non-rolling basis. This is useful if you need to calculate the maximum every 5 days, for example.
If you want to calculate maximum over all time steps. Do the following:
If you want to calculate the maximum for each year in a dataset, do this:
If you want to calculate the maximum for each month in a dataset, do this:
If you want to calculate the maximum for each month in each year in a dataset, do this:
>>> ds.tmax(["year", "month"])
This method will also let you easily calculate climatologies. So, if you wanted to calculate a monthly climatological max, you would do this:
>>> ds.tmax( "month")
A daily climatological maximum would be the following:
>>> ds.tmax( "day")