issue_comments: 609031899

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https://github.com/pydata/xarray/issues/3931#issuecomment-609031899 https://api.github.com/repos/pydata/xarray/issues/3931 609031899 MDEyOklzc3VlQ29tbWVudDYwOTAzMTg5OQ== 30388627 2020-04-04T13:52:28Z 2020-04-04T13:52:28Z NONE

I tested again with a subset of my data: subset_no2 = regrid_vars['no2'].isel(x=277, y=[212, 213]) subset_p = regrid_vars['p'].isel(x=277, y=[212, 213]) subset_interp = s5p['p'].isel(x=277, y=[212, 213]) interped = xr.apply_ufunc( interp1d_np, subset_no2, subset_p, subset_interp, input_core_dims=[["bottom_top"], ["bottom_top"], ["new_dim"]], output_core_dims=[["new_dim"]], exclude_dims=set(("bottom_top",)), vectorize=True, )

Error without .values: File "/home/xin/miniconda3/envs/satpy/lib/python3.7/site-packages/xarray/core/computation.py", line 508, in broadcast_compat_data list(core_dims), missing_core_dims ValueError: operand to apply_ufunc has required core dimensions ['new_dim'], but some of these dimensions are absent on an input variable: ['new_dim']

Error with .values: File "/home/xin/miniconda3/envs/satpy/lib/python3.7/site-packages/numpy/lib/function_base.py", line 1830, in _update_dim_sizes % (dim, size, dim_sizes[dim])) ValueError: inconsistent size for core dimension 'dim0': 2 vs 39

Details of DataArray:

## subset_no2 <xarray.DataArray 'no2' (bottom_top: 39, y: 2)> array([[1.24115179e-08, 6.27056852e-08], [6.80964068e-09, 4.52237474e-08], [4.69188675e-09, 2.54678234e-08], [3.53337218e-09, 1.65583661e-08], [2.94962740e-09, 1.59282658e-08], [2.59346789e-09, 1.18680378e-08], [2.20434986e-09, 6.98941734e-09], [1.70838029e-09, 4.09148835e-09], [1.08785037e-09, 2.11626991e-09], [5.40526199e-10, 7.51218841e-10], [3.40114302e-10, 2.83674335e-10], [2.25290863e-10, 2.03432518e-10], [1.88406983e-10, 1.77420169e-10], [1.64951814e-10, 1.58818626e-10], [1.32610296e-10, 1.46572637e-10], [1.07792915e-10, 1.38499777e-10], [9.41847784e-11, 9.92248621e-11], [8.43529921e-11, 7.64672477e-11], [8.50483741e-11, 6.09330335e-11], [9.88087134e-11, 7.22940627e-11], [1.12557403e-10, 8.70426616e-11], [1.26527656e-10, 1.12620613e-10], [1.18148820e-10, 1.52514333e-10], [1.14522875e-10, 2.64312333e-10], [1.08898568e-10, 4.51579313e-10], [7.86399974e-11, 4.47694522e-10], [4.73609487e-11, 3.14831089e-10], [4.00449127e-11, 2.01112967e-10], [6.23887273e-11, 1.39728893e-10], [8.12143663e-11, 1.09831490e-10], [7.69666632e-11, 8.47591237e-11], [6.62737034e-11, 6.67154422e-11], [7.04659314e-11, 6.81855965e-11], [8.89134542e-11, 8.27209545e-11], [1.14639174e-10, 1.24251589e-10], [1.39306685e-10, 1.77576530e-10], [1.87629863e-10, 2.37522657e-10], [2.79661049e-10, 3.35704699e-10], [3.84697368e-10, 4.34654679e-10]]) Coordinates: XTIME datetime64[ns] 2019-07-25T05:40:00 lon (y) float32 118.88653 118.87 lat (y) float32 31.982988 32.046158 Dimensions without coordinates: bottom_top, y ## subset_p <xarray.DataArray (bottom_top: 39, y: 2)> array([[999.21183185, 994.82226662], [992.45297279, 988.09617577], [983.90273668, 979.58676312], [973.14155175, 968.88817802], [959.73882983, 955.55701426], [943.2266928 , 939.13366778], [923.14843372, 919.16002955], [899.1301363 , 895.27449236], [870.93359135, 867.24191033], [838.54076775, 835.04477768], [802.19838977, 798.92594777], [762.42839118, 759.41125882], [720.01658748, 717.276933 ], [675.82211003, 673.37656836], [630.36177484, 628.21954216], [583.89080793, 582.06254511], [536.71087969, 535.2179208 ], [489.22426113, 488.04157991], [442.01029323, 441.13686917], [397.48824388, 396.89283447], [357.43902179, 357.05545246], [321.40740822, 321.16476787], [288.98307787, 288.8348624 ], [259.79715824, 259.73242936], [233.52221354, 233.53890789], [209.88217625, 209.9574665 ], [188.6518575 , 188.74680403], [169.61437427, 169.67585118], [152.5459371 , 152.54166587], [137.21135599, 137.1660674 ], [123.42544258, 123.36597354], [111.02212197, 110.9501009 ], [ 99.84275351, 99.7735498 ], [ 89.78023477, 89.72146162], [ 80.73068588, 80.68572074], [ 72.598215 , 72.56306462], [ 65.28822276, 65.25848141], [ 58.71494192, 58.69333156], [ 52.80223723, 52.79301171]]) Coordinates: XTIME datetime64[ns] 2019-07-25T05:40:00 lon (y) float32 118.88653 118.87 lat (y) float32 31.982988 32.046158 Dimensions without coordinates: bottom_top, y ## subset_interp <xarray.DataArray (bottom_top: 25, y: 2)> dask.array<getitem, shape=(25, 2), dtype=float32, chunksize=(25, 2), chunktype=numpy.ndarray> Coordinates: * bottom_top (bottom_top) int32 0 1 2 3 4 5 6 7 8 ... 17 18 19 20 21 22 23 24 vertices int32 0 crs object +proj=latlong +datum=WGS84 +ellps=WGS84 +type=crs Dimensions without coordinates: y Attributes: name: p resolution: None calibration: None polarization: None level: None modifiers: () units: hPa 

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