nctoolkit.DataSet.tvariance

DataSet.tvariance(self, over='time')

Calculate the temporal variance of all variables

Parameters

over (str or list) – Time periods to average over. Options are ‘year’, ‘month’, ‘day’.

Examples

If you want to calculate variance over all time steps. Do the following:

>>> ds.tvar()

If you want to calculate the variance for each year in a dataset, do this:

>>> ds.tvar("year")

If you want to calculate the variance for each month in a dataset, do this:

>>> ds.tvar("month")

If you want to calculate the variance for each month in each year in a dataset, do this:

>>> ds.tvar(["year", "month"])

This method will also let you easily calculate climatologies. So, if you wanted to calculate a monthly climatological var, you would do this:

>>> ds.tvar( "month")

A daily climatological variance would be the following:

>>> ds.tvar( "day")