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1527544656 https://github.com/pydata/xarray/issues/7647#issuecomment-1527544656 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85bDHtQ kmuehlbauer 5821660 2023-04-28T13:12:08Z 2023-04-28T13:12:08Z MEMBER

@wangshuaicumt Did you get along with this issue? If this is still unresolved it would be great if you could provide the data or a MCVE.

 
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   merge 1631491844
1476087598 https://github.com/pydata/xarray/issues/7647#issuecomment-1476087598 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X-08u wangshuaicumt 117328108 2023-03-20T11:53:34Z 2023-03-20T11:53:34Z NONE

Maybe I am wrong, but I think the two scenes should be geocoded on the same grid, and then you should decide how to combine the values from the two scenes on the overlapping area.

I think you're absolutely right. I just want to splice two pieces of data together, and there is a common area between them. Since I am a newcomer in the Xarray application, can you give me more tips? Thanks a lot.

 
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   merge 1631491844
1476080295 https://github.com/pydata/xarray/issues/7647#issuecomment-1476080295 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X-zKn iacopoff 38247963 2023-03-20T11:47:11Z 2023-03-20T11:47:11Z NONE

Maybe I am wrong, but I think the two scenes should be geocoded on the same grid, and then you should decide how to combine the values from the two scenes on the overlapping area.

 
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   merge 1631491844
1475746864 https://github.com/pydata/xarray/issues/7647#issuecomment-1475746864 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X9hww wangshuaicumt 117328108 2023-03-20T07:31:53Z 2023-03-20T07:31:53Z NONE

@wangshuaicumt To see what's going on this might be sufficient. It looks like the grids (or dimensions) of your two input datasets do not really match each other.

In consequence the merge-algorithm aligns the two inputs and introduces NaN at the places where the data is not defined at the resulting points, leaving you with these gaps in the output. (You can observe this in the dimension-sizes).

As this doesn't happen in my workflows I have no immediate help at hand and hope others will chime with some more guidance.

Yeah, thanks. Do you have any good suggestions for using Xarray to merge two *. grd files?

 
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   merge 1631491844
1475743002 https://github.com/pydata/xarray/issues/7647#issuecomment-1475743002 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X9g0a kmuehlbauer 5821660 2023-03-20T07:27:08Z 2023-03-20T07:27:08Z MEMBER

@wangshuaicumt To see what's going on this might be sufficient. It looks like the grids (or dimensions) of your two input datasets do not really match each other.

In consequence the merge-algorithm aligns the two inputs and introduces NaN at the places where the data is not defined at the resulting points, leaving you with these gaps in the output. (You can observe this in the dimension-sizes).

As this doesn't happen in my workflows I have no immediate help at hand and hope others will chime with some more guidance.

 
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   merge 1631491844
1475727446 https://github.com/pydata/xarray/issues/7647#issuecomment-1475727446 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X9dBW wangshuaicumt 117328108 2023-03-20T07:09:27Z 2023-03-20T07:09:27Z NONE

Hi @wangshuaicumt I guess it would be easier to help out if you share the datasets (or a subset)?

Due to restrictions on uploading original data files, I can only upload the results read by the terminal, and whether the original data file is required？

 
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   merge 1631491844
1475720306 https://github.com/pydata/xarray/issues/7647#issuecomment-1475720306 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X9bRy wangshuaicumt 117328108 2023-03-20T07:03:37Z 2023-03-20T07:03:37Z NONE

Hi @wangshuaicumt I guess it would be easier to help out if you share the datasets (or a subset)?

Yeah. Thanks.

The first data: <xarray.DataArray 'z' (lat: 4350, lon: 5050)> [21967500 values with dtype=float32] Coordinates: * lon (lon) float64 86.26 86.26 86.26 86.26 ... 89.76 89.76 89.76 89.76 * lat (lat) float64 43.2 43.2 43.2 43.2 43.2 ... 45.01 45.01 45.01 45.01 Attributes: long_name: z actual_range: [-896.26568604 361.07537842]

The second data: <xarray.DataArray 'z' (lat: 4420, lon: 5060)> [22365200 values with dtype=float32] Coordinates: * lon (lon) float64 88.22 88.22 88.22 88.22 ... 91.73 91.73 91.73 91.73 * lat (lat) float64 43.59 43.59 43.59 43.59 ... 45.43 45.43 45.43 45.43 Attributes: long_name: z actual_range: [-536.39135742 304.35101318]

The merge data: <xarray.Dataset> Dimensions: (lon: 10110, lat: 8769) Coordinates: * lon (lon) float64 86.26 86.26 86.26 86.26 ... 91.73 91.73 91.73 91.73 * lat (lat) float64 43.2 43.2 43.2 43.2 43.2 ... 45.43 45.43 45.43 45.43 Data variables: z (lat, lon) float32 nan nan nan nan nan nan ... nan nan nan nan nan Attributes: long_name: z

 
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   merge 1631491844
1475714019 https://github.com/pydata/xarray/issues/7647#issuecomment-1475714019 https://api.github.com/repos/pydata/xarray/issues/7647 IC_kwDOAMm_X85X9Zvj iacopoff 38247963 2023-03-20T06:58:42Z 2023-03-20T06:58:42Z NONE

Hi @wangshuaicumt I guess it would be easier to help out if you share the datasets (or a subset)?

 
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   merge 1631491844

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