climepi.ClimEpiDatasetAccessor#

class climepi.ClimEpiDatasetAccessor(dataset)[source]#

Accessor for xarray.Dataset objects accessed via the climepi attribute.

Provides a range of methods, including for running epidemiological models, temporal averaging, analyzing uncertainty, and plotting.

Methods

`__init__`(dataset)
`ensemble_stats`([data_var, ...])	Compute a range of ensemble statistics for a data variable.
`monthly_average`([data_var])	Compute the monthly mean of a data variable.
`plot_map`([data_var, mask_ocean, mask_lakes])	Generate a map plot of a data variable.
`plot_time_series`([data_var])	Generate a time series plot of a data variable.
`plot_uncertainty_interval_decomposition`([...])	Plot contributions of climate uncertainty sources to uncertainty intervals.
`plot_variance_decomposition`([data_var, ...])	Plot decomposition of variance from different climate uncertainty sources.
`run_epi_model`(epi_model, **kwargs)	Run the epidemiological model on a climate dataset.
`sel_geo`(location[, lon, lat])	Get data for the nearest grid point(s) to a specified location(s).
`temporal_group_average`([data_var, frequency])	Compute the group average of a data variable.
`uncertainty_interval_decomposition`([...])	Decompose uncertainty interval contributions.
`variance_decomposition`([data_var, fraction, ...])	Decompose variance contributions from different climate uncertainty sources.
`yearly_average`([data_var])	Compute the yearly mean of a data variable.
`yearly_portion_suitable`([...])	Calculate the portion of each year that is suitable given suitability data.