DataSet.assign(drop=False, **kwargs)#

assign: Create new variables using mathematical operations on existing variables.

Existing columns that are re-assigned will be overwritten. This method operators in a similar fashion to the pandas assign method.

  • drop (bool) – Set to True if you want existing variables to be removed once the new ones have been created. Defaults to False.

  • **kwargs (dict of {str: callable}) – New variable names are keywords. All terms in the equation given by the lambda function should evaluate to a numeric. New variables are calculated for each grid cell and time step.


Operations are carried out in the order give. So if a new variable is created in the first argument, it can then be used in following arguments.


Temperature could be converted from Celsius to Kelvin by:

>>> ds.assign(temperature_K=lambda x: x.temperature + 273.15)

Temperatures higher than the spatial average temperature could be found by:

>>> ds.assign(hot=lambda x: x.temperature > spatial_mean(x.temperature)))