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Method sortby

xarray/core/dataset.py:8071–8182  ·  view source on GitHub ↗

Sort object by labels or values (along an axis). Sorts the dataset, either along specified dimensions, or according to values of 1-D dataarrays that share dimension with calling object. If the input variables are dataarrays, then the dataarrays are aligned

(
        self,
        variables: (
            Hashable
            | DataArray
            | Sequence[Hashable | DataArray]
            | Callable[[Self], Hashable | DataArray | list[Hashable | DataArray]]
        ),
        ascending: bool = True,
    )

Source from the content-addressed store, hash-verified

8069 return self._replace(variables, indexes=indexes)
8070
8071 def sortby(
8072 self,
8073 variables: (
8074 Hashable
8075 | DataArray
8076 | Sequence[Hashable | DataArray]
8077 | Callable[[Self], Hashable | DataArray | list[Hashable | DataArray]]
8078 ),
8079 ascending: bool = True,
8080 ) -> Self:
8081 """
8082 Sort object by labels or values (along an axis).
8083
8084 Sorts the dataset, either along specified dimensions,
8085 or according to values of 1-D dataarrays that share dimension
8086 with calling object.
8087
8088 If the input variables are dataarrays, then the dataarrays are aligned
8089 (via left-join) to the calling object prior to sorting by cell values.
8090 NaNs are sorted to the end, following Numpy convention.
8091
8092 If multiple sorts along the same dimension is
8093 given, numpy's lexsort is performed along that dimension:
8094 https://numpy.org/doc/stable/reference/generated/numpy.lexsort.html
8095 and the FIRST key in the sequence is used as the primary sort key,
8096 followed by the 2nd key, etc.
8097
8098 Parameters
8099 ----------
8100 variables : Hashable, DataArray, sequence of Hashable or DataArray, or Callable
8101 1D DataArray objects or name(s) of 1D variable(s) in coords whose values are
8102 used to sort this array. If a callable, the callable is passed this object,
8103 and the result is used as the value for cond.
8104 ascending : bool, default: True
8105 Whether to sort by ascending or descending order.
8106
8107 Returns
8108 -------
8109 sorted : Dataset
8110 A new dataset where all the specified dims are sorted by dim
8111 labels.
8112
8113 See Also
8114 --------
8115 DataArray.sortby
8116 numpy.sort
8117 pandas.sort_values
8118 pandas.sort_index
8119
8120 Examples
8121 --------
8122 >>> ds = xr.Dataset(
8123 ... {
8124 ... "A": (("x", "y"), [[1, 2], [3, 4]]),
8125 ... "B": (("x", "y"), [[5, 6], [7, 8]]),
8126 ... },
8127 ... coords={"x": ["b", "a"], "y": [1, 0]},
8128 ... )

Callers 8

interpMethod · 0.95
test_sortbyMethod · 0.95
test_shuffle_byFunction · 0.45
test_season_resamplerMethod · 0.45
test_sortbyMethod · 0.45

Calls 5

alignFunction · 0.90
variablesFunction · 0.85
itemsMethod · 0.80
notnullMethod · 0.45
iselMethod · 0.45

Tested by 7

test_sortbyMethod · 0.76
test_shuffle_byFunction · 0.36
test_season_resamplerMethod · 0.36
test_sortbyMethod · 0.36