xarray_utils

Provides basic xarray utils.

Functions

climatology(data)	Calculate the climatology from an xarray DataArray.
crop_ds(ds, lon_min, lon_max, lat_min, lat_max)	Crop an xarray.Dataset to the given lon/lat bounds, handling coordinate order.
get_clim_from_ds(ds[, input_var, factor])	Calculate climatology from a Dataset or DataArray.
get_coord_key(ds[, lat, lon, time, ...])	Return the lat or lon coordinate name used in the xarray dataset.
get_ds_extend(ds[, var, recursive_search, ...])	Get the spatial extent of a dataset as (lon_min, lon_max, lat_min, lat_max) from its bounds.
get_dtype(ds)	Return a simple dtype string without forcing data into memory.
get_overlapping_time_slice(input_ds, ref_ds)	Return the inclusive overlapping time window of two time-indexed objects.
get_single_data_var(ds[, proposed_vars])	Get the data var name from a dataset that only contains one data variable.
induce_data_var_from_file_name(ds, file_path)	Check if one of the data_vars is part of the file name and select it as the most probable data_var.
normalize_lat_lon(ds[, lat_key, lon_key, ...])	Normalize latitude and longitude dimension and coordinate names to 'lat' and 'lon'.
snap_to_target(ds, lat_key, lon_key, ...[, ...])	Rename latitude/longitude dimensions and assign exact target coordinates.
spearman_correlation(data1, data2)	Calculate Spearman rank correlation between two xarray DataArrays.
timedelta_to_alias(ds)	Map a median timedelta to a pandas frequency alias.