Fix pandas interpolate(fill_value=) error (#8139)

max-sixty · web-flow · commit e9c1962f31a7 · 2023-09-04T11:05:13.000-07:00
diff --git a/xarray/tests/test_missing.py b/xarray/tests/test_missing.py
@@ -104,7 +104,8 @@ def test_interpolate_pd_compat():
         for dim in ["time", "x"]:
             actual = da.interpolate_na(method=method, dim=dim, fill_value=np.nan)
             expected = df.interpolate(
-                method=method, axis=da.get_axis_num(dim), fill_value=(np.nan, np.nan)
+                method=method,
+                axis=da.get_axis_num(dim),
             )
             # Note, Pandas does some odd things with the left/right fill_value
             # for the linear methods. This next line inforces the xarray
@@ -140,7 +141,8 @@ def test_interpolate_pd_compat_non_uniform_index():
                 method="linear", dim=dim, use_coordinate=True, fill_value=np.nan
             )
             expected = df.interpolate(
-                method=method, axis=da.get_axis_num(dim), fill_value=np.nan
+                method=method,
+                axis=da.get_axis_num(dim),
             )
 
             # Note, Pandas does some odd things with the left/right fill_value

Original file line number	Diff line number	Diff line change
`@@ -104,7 +104,8 @@ def test_interpolate_pd_compat():`
`104`	`104`	`for dim in ["time", "x"]:`
`105`	`105`	`actual = da.interpolate_na(method=method, dim=dim, fill_value=np.nan)`
`106`	`106`	`expected = df.interpolate(`
`107`		`- method=method, axis=da.get_axis_num(dim), fill_value=(np.nan, np.nan)`
	`107`	`+ method=method,`
	`108`	`+ axis=da.get_axis_num(dim),`
`108`	`109`	`)`
`109`	`110`	`# Note, Pandas does some odd things with the left/right fill_value`
`110`	`111`	`# for the linear methods. This next line inforces the xarray`
`@@ -140,7 +141,8 @@ def test_interpolate_pd_compat_non_uniform_index():`
`140`	`141`	`method="linear", dim=dim, use_coordinate=True, fill_value=np.nan`
`141`	`142`	`)`
`142`	`143`	`expected = df.interpolate(`
`143`		`- method=method, axis=da.get_axis_num(dim), fill_value=np.nan`
	`144`	`+ method=method,`
	`145`	`+ axis=da.get_axis_num(dim),`
`144`	`146`	`)`
`145`	`147`
`146`	`148`	`# Note, Pandas does some odd things with the left/right fill_value`