TestDataArrayGroupBy.test_groupby_bins_sort AssertionError: assert False + where False = Index([nan, 14.0, 23.0, 32.0, 41.0, 50.0, 59.0, 68.0, 77.0, 86.0, 95.0], dtype='float64', name='x_bins').is_monotonic_increasing + where Index([nan, 14.0, 23.0, 32.0, 41.0, 50.0, 59.0, 68.0, 77.0, 86.0, 95.0], dtype='float64', name='x_bins') = <bound method DataArray.to_index of <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0]>() + where <bound method DataArray.to_index of <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0]> = <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0].to_index

test_groupby_bins_cut_kwargs[True] AssertionError: Left and right DataArray objects are not identical Differing values: L array([[ 1., 2.], [ 5., 6.], [ 9., 10.]]) R array([[ 1., nan], [nan, 6.], [ 9., 10.]])

TestDataArray.test_computation_objects[int32-method_groupby_bins-data] AssertionError: Left and right DataArray objects are not close Differing values: L <Quantity([[ nan 0. nan 1. ] [ nan 2. nan 3. ] [ nan 4. nan 5. ] [ nan 6. nan 7. ] [ nan 8. nan 9.333333]], 'meter')> R <Quantity([[0. 0. 1. 1. ] [2. 2. 3. 3. ] [4. 4. 5. 5. ] [6. 6. 7. 7. ] [8. 8. 9. 9.333333]], 'meter')>

TestDataArray.test_computation_objects[int32-method_groupby_bins-coords] AssertionError: Left and right DataArray objects are not close Differing values: L array([[ nan, 0. , nan, 1. ], [ nan, 2. , nan, 3. ], [ nan, 4. , nan, 5. ], [ nan, 6. , nan, 7. ], [ nan, 8. , nan, 9.333333]]) R array([[0. , 0. , 1. , 1. ], [2. , 2. , 3. , 3. ], [4. , 4. , 5. , 5. ], [6. , 6. , 7. , 7. ], [8. , 8. , 9. , 9.333333]])

TestDataset.test_computation_objects[int32-data-method_groupby_bins] AssertionError: Left and right Dataset objects are not close Differing data variables: L b (x_bins, z) float64 <Quantity([[ nan nan nan] [ nan 17.5 18.5... R b (x_bins, z) float64 <Quantity([[11. 11.5 12.5] [16.5 17.5 18.5... L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [nan 1.5 2... R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...

TestDataset.test_computation_objects[int32-coords-method_groupby_bins] AssertionError: Left and right Dataset objects are not close Differing data variables: L b (x_bins, z) float64 nan nan nan nan 17.5 18.5 R b (x_bins, z) float64 11.0 11.5 12.5 16.5 17.5 18.5 L a (x_bins, y) float64 nan nan nan nan nan nan 1.5 2.0 2.5 3.5 R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5