- Dataset.groupby_bins(group, bins, right=True, labels=None, precision=3, include_lowest=False, squeeze=True, restore_coord_dims=False)#
Returns a DatasetGroupBy object for performing grouped operations.
Rather than using all unique values of group, the values are discretized first by applying pandas.cut  to group.
intor array-like) – If bins is an int, it defines the number of equal-width bins in the range of x. However, in this case, the range of x is extended by .1% on each side to include the min or max values of x. If bins is a sequence it defines the bin edges allowing for non-uniform bin width. No extension of the range of x is done in this case.
3) – The precision at which to store and display the bins labels.
True) – If “group” is a dimension of any arrays in this dataset, squeeze controls whether the subarrays have a dimension of length 1 along that dimension or if the dimension is squeezed out.
DatasetGroupBy) – A DatasetGroupBy object patterned after pandas.GroupBy that can be iterated over in the form of (unique_value, grouped_array) pairs. The name of the group has the added suffix _bins in order to distinguish it from the original variable.
- GroupBy: Group and Bin Data
Users guide explanation of how to group and bin data.