mtuq.grid_search.MTUQDataArray¶

class mtuq.grid_search.MTUQDataArray(data: typing.Any = <NA>, coords: collections.abc.Sequence[collections.abc.Sequence | pandas.core.indexes.base.Index | xarray.core.dataarray.DataArray] | collections.abc.Mapping | None = None, dims: str | collections.abc.Iterable[collections.abc.Hashable] | None = None, name: collections.abc.Hashable | None = None, attrs: collections.abc.Mapping | None = None, indexes: collections.abc.Mapping[Any, xarray.core.indexes.Index] | None = None, fastpath: bool = False)[source]¶

Bases: xarray.core.dataarray.DataArray

Data structure for storing values on regularly-spaced grids

Note

Besides the methods below, MTUQDataArray includes many useful methods inherited from xarray.DataArray. See xarray documentation for more information.

Public Methods

`item`	Copy an element of an array to a standard Python scalar and return it.
`origin_idxmin`	Returns origins index corresponding to minimum misfit
`save`	Saves grid search results to NetCDF file
`searchsorted`	Find indices where elements of v should be inserted in a to maintain order.
`source_idxmin`	Returns sources index corresponding to minimum misfit

Private Methods

Warning

Private methods are mainly for internal/developer use and their API might change without notice.

_get_shape

Private helper method