xarray.core.groupby.DatasetGroupBy¶
-
class
xarray.core.groupby.
DatasetGroupBy
(obj, group, squeeze=False, grouper=None, bins=None, restore_coord_dims=True, cut_kwargs=None)¶ -
__init__
(obj, group, squeeze=False, grouper=None, bins=None, restore_coord_dims=True, cut_kwargs=None)¶ Create a GroupBy object
- Parameters
group (
DataArray
) – Array with the group values.squeeze (
bool
, optional) – If “group” is a coordinate of object, squeeze controls whether the subarrays have a dimension of length 1 along that coordinate or if the dimension is squeezed out.grouper (
pandas.Grouper
, optional) – Used for grouping values along the group array.bins (array-like, optional) – If bins is specified, the groups will be discretized into the specified bins by pandas.cut.
restore_coord_dims (
bool
, default:True
) – If True, also restore the dimension order of multi-dimensional coordinates.cut_kwargs (
dict
, optional) – Extra keyword arguments to pass to pandas.cut
Methods
__init__
(obj, group[, squeeze, grouper, …])Create a GroupBy object
all
([dim])Reduce this DatasetGroupBy’s data by applying all along some dimension(s).
any
([dim])Reduce this DatasetGroupBy’s data by applying any along some dimension(s).
apply
(func[, args, shortcut])Backward compatible implementation of
map
assign
(**kwargs)Assign data variables by group.
assign_coords
([coords])Assign coordinates by group.
count
([dim])Reduce this DatasetGroupBy’s data by applying count along some dimension(s).
fillna
(value)Fill missing values in this object by group.
first
([skipna, keep_attrs])Return the first element of each group along the group dimension
last
([skipna, keep_attrs])Return the last element of each group along the group dimension
map
(func[, args, shortcut])Apply a function to each Dataset in the group and concatenate them together into a new Dataset.
max
([dim, skipna])Reduce this DatasetGroupBy’s data by applying max along some dimension(s).
mean
([dim, skipna])Reduce this DatasetGroupBy’s data by applying mean along some dimension(s).
median
([dim, skipna])Reduce this DatasetGroupBy’s data by applying median along some dimension(s).
min
([dim, skipna])Reduce this DatasetGroupBy’s data by applying min along some dimension(s).
prod
([dim, skipna])Reduce this DatasetGroupBy’s data by applying prod along some dimension(s).
quantile
(q[, dim, interpolation, …])Compute the qth quantile over each array in the groups and concatenate them together into a new array.
reduce
(func[, dim, keep_attrs])Reduce the items in this group by applying func along some dimension(s).
std
([dim, skipna])Reduce this DatasetGroupBy’s data by applying std along some dimension(s).
sum
([dim, skipna])Reduce this DatasetGroupBy’s data by applying sum along some dimension(s).
var
([dim, skipna])Reduce this DatasetGroupBy’s data by applying var along some dimension(s).
where
(cond[, other])Return elements from self or other depending on cond.
Attributes
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