1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
|
from __future__ import annotations
from collections.abc import Mapping
import numpy as np
import pandas as pd
import pytest
from xarray.core.coordinates import Coordinates
from xarray.core.dataarray import DataArray
from xarray.core.dataset import Dataset
from xarray.core.indexes import Index, PandasIndex, PandasMultiIndex
from xarray.core.variable import IndexVariable, Variable
from xarray.structure.alignment import align
from xarray.tests import assert_identical, source_ndarray
class TestCoordinates:
def test_init_noindex(self) -> None:
coords = Coordinates(coords={"foo": ("x", [0, 1, 2])})
expected = Dataset(coords={"foo": ("x", [0, 1, 2])})
assert_identical(coords.to_dataset(), expected)
def test_init_default_index(self) -> None:
coords = Coordinates(coords={"x": [1, 2]})
expected = Dataset(coords={"x": [1, 2]})
assert_identical(coords.to_dataset(), expected)
assert "x" in coords.xindexes
@pytest.mark.filterwarnings("error:IndexVariable")
def test_init_no_default_index(self) -> None:
# dimension coordinate with no default index (explicit)
coords = Coordinates(coords={"x": [1, 2]}, indexes={})
assert "x" not in coords.xindexes
assert not isinstance(coords["x"], IndexVariable)
def test_init_from_coords(self) -> None:
expected = Dataset(coords={"foo": ("x", [0, 1, 2])})
coords = Coordinates(coords=expected.coords)
assert_identical(coords.to_dataset(), expected)
# test variables copied
assert coords.variables["foo"] is not expected.variables["foo"]
# test indexes are extracted
expected = Dataset(coords={"x": [0, 1, 2]})
coords = Coordinates(coords=expected.coords)
assert_identical(coords.to_dataset(), expected)
assert expected.xindexes == coords.xindexes
# coords + indexes not supported
with pytest.raises(
ValueError, match="passing both.*Coordinates.*indexes.*not allowed"
):
coords = Coordinates(
coords=expected.coords, indexes={"x": PandasIndex([0, 1, 2], "x")}
)
def test_init_empty(self) -> None:
coords = Coordinates()
assert len(coords) == 0
def test_init_index_error(self) -> None:
idx = PandasIndex([1, 2, 3], "x")
with pytest.raises(ValueError, match="no coordinate variables found"):
Coordinates(indexes={"x": idx})
with pytest.raises(TypeError, match=".* is not an `xarray.indexes.Index`"):
Coordinates(
coords={"x": ("x", [1, 2, 3])},
indexes={"x": "not_an_xarray_index"}, # type: ignore[dict-item]
)
def test_init_dim_sizes_conflict(self) -> None:
with pytest.raises(ValueError):
Coordinates(coords={"foo": ("x", [1, 2]), "bar": ("x", [1, 2, 3, 4])})
def test_from_xindex(self) -> None:
idx = PandasIndex([1, 2, 3], "x")
coords = Coordinates.from_xindex(idx)
assert isinstance(coords.xindexes["x"], PandasIndex)
assert coords.xindexes["x"].equals(idx)
expected = PandasIndex(idx, "x").create_variables()
assert list(coords.variables) == list(expected)
assert_identical(expected["x"], coords.variables["x"])
def test_from_xindex_error(self) -> None:
class CustomIndexNoCoordsGenerated(Index):
def create_variables(self, variables: Mapping | None = None):
return {}
idx = CustomIndexNoCoordsGenerated()
with pytest.raises(ValueError, match=".*index.*did not create any coordinate"):
Coordinates.from_xindex(idx)
def test_from_pandas_multiindex(self) -> None:
midx = pd.MultiIndex.from_product([["a", "b"], [1, 2]], names=("one", "two"))
coords = Coordinates.from_pandas_multiindex(midx, "x")
assert isinstance(coords.xindexes["x"], PandasMultiIndex)
assert coords.xindexes["x"].index.equals(midx)
assert coords.xindexes["x"].dim == "x"
expected = PandasMultiIndex(midx, "x").create_variables()
assert list(coords.variables) == list(expected)
for name in ("x", "one", "two"):
assert_identical(expected[name], coords.variables[name])
@pytest.mark.filterwarnings("ignore:return type")
def test_dims(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
assert set(coords.dims) == {"x"}
def test_sizes(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
assert coords.sizes == {"x": 3}
def test_dtypes(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
assert coords.dtypes == {"x": int}
def test_getitem(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
assert_identical(
coords["x"],
DataArray([0, 1, 2], coords={"x": [0, 1, 2]}, name="x"),
)
def test_delitem(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
del coords["x"]
assert "x" not in coords
with pytest.raises(
KeyError, match="'nonexistent' is not in coordinate variables"
):
del coords["nonexistent"]
def test_update(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
coords.update({"y": ("y", [4, 5, 6])})
assert "y" in coords
assert "y" in coords.xindexes
expected = DataArray([4, 5, 6], coords={"y": [4, 5, 6]}, name="y")
assert_identical(coords["y"], expected)
def test_equals(self):
coords = Coordinates(coords={"x": [0, 1, 2]})
assert coords.equals(coords)
assert not coords.equals("not_a_coords")
def test_identical(self):
coords = Coordinates(coords={"x": [0, 1, 2]})
assert coords.identical(coords)
assert not coords.identical("not_a_coords")
def test_assign(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
expected = Coordinates(coords={"x": [0, 1, 2], "y": [3, 4]})
actual = coords.assign(y=[3, 4])
assert_identical(actual, expected)
actual = coords.assign({"y": [3, 4]})
assert_identical(actual, expected)
def test_copy(self) -> None:
no_index_coords = Coordinates({"foo": ("x", [1, 2, 3])})
copied = no_index_coords.copy()
assert_identical(no_index_coords, copied)
v0 = no_index_coords.variables["foo"]
v1 = copied.variables["foo"]
assert v0 is not v1
assert source_ndarray(v0.data) is source_ndarray(v1.data)
deep_copied = no_index_coords.copy(deep=True)
assert_identical(no_index_coords.to_dataset(), deep_copied.to_dataset())
v0 = no_index_coords.variables["foo"]
v1 = deep_copied.variables["foo"]
assert v0 is not v1
assert source_ndarray(v0.data) is not source_ndarray(v1.data)
def test_align(self) -> None:
coords = Coordinates(coords={"x": [0, 1, 2]})
left = coords
# test Coordinates._reindex_callback
right = coords.to_dataset().isel(x=[0, 1]).coords
left2, right2 = align(left, right, join="inner")
assert_identical(left2, right2)
# test Coordinates._overwrite_indexes
right.update({"x": ("x", [4, 5, 6])})
left2, right2 = align(left, right, join="override")
assert_identical(left2, left)
assert_identical(left2, right2)
def test_dataset_from_coords_with_multidim_var_same_name(self):
# regression test for GH #8883
var = Variable(data=np.arange(6).reshape(2, 3), dims=["x", "y"])
coords = Coordinates(coords={"x": var}, indexes={})
ds = Dataset(coords=coords)
assert ds.coords["x"].dims == ("x", "y")
|
