html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4016#issuecomment-624384220,https://api.github.com/repos/pydata/xarray/issues/4016,624384220,MDEyOklzc3VlQ29tbWVudDYyNDM4NDIyMA==,34353851,2020-05-06T00:54:38Z,2020-05-06T00:54:38Z,NONE,"I think another solution you could add an aleat microsecond or nanosecond
field ... in the datetime index and the index should be different.
You could test if there are colision in the index (it means the
index<->time is not empty like the sort algorithm, something similar to
https://en.wikipedia.org/wiki/Radix_sort)


It is like the reverse of this solution

https://stackoverflow.com/questions/32827169/python-reduce-precision-pandas-timestamp-dataframe/32827432


Add another coordinate could be overloaded and xarray is very powerful to
extract slice of time
ds.sel(time =slice('2000-06-01', '2000-06-10'))

http://xarray.pydata.org/en/stable/time-series.html#datetime-indexing

I hope it could be useful.

Regards
Javier Ruano

El mié., 29 abr. 2020 17:34, Javier Ruano <javier.ruanno@gmail.com>
escribió:

> pandas doesn't have that problem
> import pandas as pd
> x1=pd.DataFrame([['1','2','3']])
> x2=pd.DataFrame([['4','5','6']])
> pd.concat([x1,x2],axis=1)
>
> El mié., 29 abr. 2020 a las 17:23, Javier Ruano (<javier.ruanno@gmail.com>)
> escribió:
>
>> the time is the same. do you have tried to change the second one time
>> index?
>>
>> El mié., 29 abr. 2020 a las 16:36, Xin Zhang (<notifications@github.com>)
>> escribió:
>>
>>> It's impossible to concatenate two arrays on same named dimensions with
>>> different sizes.
>>> MCVE Code Sample
>>>
>>> import xarray as xrimport pandas as pd
>>>
>>> a = xr.DataArray([0], dims=['x'])
>>> b = xr.DataArray([1, 2, 3], dims=['x'])
>>> a = a.expand_dims(""time"")
>>> b = b.expand_dims(""time"")
>>> a.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
>>> b.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
>>> c = xr.concat([a, b], dim='time')print(c)
>>>
>>> Expected Output
>>>
>>> [0, 1, 2, 3]
>>>
>>> Problem Description
>>>
>>>   File ""C:\Users\Xin\Desktop\test_github.py"", line 10, in <module>
>>>     c = xr.concat([a, b], dim='time')
>>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 135, in concat
>>>     return f(objs, dim, data_vars, coords, compat, positions, fill_value, join)
>>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 455, in _dataarray_concat
>>>     join=join,
>>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 319, in _dataset_concat
>>>     *datasets, join=join, copy=False, exclude=[dim], fill_value=fill_value
>>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\alignment.py"", line 327, in align
>>>     % (dim, sizes)
>>> ValueError: arguments without labels along dimension 'x' cannot be aligned because they have different dimension sizes: {1, 3}
>>>
>>> Versions Output of xr.show_versions() INSTALLED VERSIONS
>>>
>>> commit: None
>>> python: 3.7.6 | packaged by conda-forge | (default, Jan 7 2020,
>>> 21:48:41) [MSC v.1916 64 bit (AMD64)]
>>> python-bits: 64
>>> OS: Windows
>>> OS-release: 10
>>> machine: AMD64
>>> processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
>>> byteorder: little
>>> LC_ALL: None
>>> LANG: None
>>> LOCALE: None.None
>>> libhdf5: 1.10.5
>>> libnetcdf: 4.7.3
>>>
>>> xarray: 0.15.1
>>> pandas: 1.0.3
>>> numpy: 1.18.1
>>> scipy: 1.4.1
>>> netCDF4: 1.5.3
>>> pydap: None
>>> h5netcdf: None
>>> h5py: 2.10.0
>>> Nio: None
>>> zarr: 2.4.0
>>> cftime: 1.1.1.2
>>> nc_time_axis: None
>>> PseudoNetCDF: None
>>> rasterio: 1.1.3
>>> cfgrib: None
>>> iris: None
>>> bottleneck: None
>>> dask: 2.10.1
>>> distributed: 2.14.0
>>> matplotlib: 3.2.1
>>> cartopy: 0.17.0
>>> seaborn: 0.10.0
>>> numbagg: None
>>> setuptools: 46.1.3.post20200325
>>> pip: 20.0.2
>>> conda: None
>>> pytest: None
>>> IPython: 7.13.0
>>> sphinx: 2.4.4
>>>
>>> —
>>> You are receiving this because you are subscribed to this thread.
>>> Reply to this email directly, view it on GitHub
>>> <https://github.com/pydata/xarray/issues/4016>, or unsubscribe
>>> <https://github.com/notifications/unsubscribe-auth/AIGDFO35OSYH6NU6GMCMGWTRPA3PDANCNFSM4MTY32IQ>
>>> .
>>>
>>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621793960,https://api.github.com/repos/pydata/xarray/issues/4016,621793960,MDEyOklzc3VlQ29tbWVudDYyMTc5Mzk2MA==,30388627,2020-04-30T12:12:11Z,2020-04-30T12:12:11Z,NONE,@keewis Thanks! I will try to apply this method and check the results.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621761051,https://api.github.com/repos/pydata/xarray/issues/4016,621761051,MDEyOklzc3VlQ29tbWVudDYyMTc2MTA1MQ==,14808389,2020-04-30T10:56:03Z,2020-04-30T10:56:03Z,MEMBER,"you should be able to get this to work by assigning coordinates to `x`:
```python
In [7]: a = xr.DataArray([0], dims='x', coords={""x"": [0]}) 
   ...: b = xr.DataArray([1, 2, 3], dims='x', coords={""x"": [0, 1, 2]}) 
   ...: time = pd.DatetimeIndex(['2020-02-14 05:25:10']) 
   ...: a = a.expand_dims(""time"").assign_coords(time=time) 
   ...: b = b.expand_dims(""time"").assign_coords(time=time) 
   ...:  
   ...: c = xr.concat([a, b], dim='time') 
   ...: c
Out[7]: 
<xarray.DataArray (time: 2, x: 3)>
array([[ 0., nan, nan],
       [ 1.,  2.,  3.]])
Coordinates:
  * x        (x) int64 0 1 2
  * time     (time) datetime64[ns] 2020-02-14T05:25:10 2020-02-14T05:25:10
```
Note that `time` does not have unique values which means some operations won't work.
Also, `xarray` can't really do true ragged arrays (i.e. `[[0], [1, 2, 3]]` is not possible), so we use missing values instead","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621680403,https://api.github.com/repos/pydata/xarray/issues/4016,621680403,MDEyOklzc3VlQ29tbWVudDYyMTY4MDQwMw==,30388627,2020-04-30T08:03:44Z,2020-04-30T08:03:44Z,NONE,"@dcherian Sorry. I made a mistake in the expected result. It should be
```
[[0], [1, 2, 3]]
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621315275,https://api.github.com/repos/pydata/xarray/issues/4016,621315275,MDEyOklzc3VlQ29tbWVudDYyMTMxNTI3NQ==,2448579,2020-04-29T16:17:33Z,2020-04-29T16:17:33Z,MEMBER,"umm... your expected result is a concatenation on `'x'`, which does work...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621300738,https://api.github.com/repos/pydata/xarray/issues/4016,621300738,MDEyOklzc3VlQ29tbWVudDYyMTMwMDczOA==,30388627,2020-04-29T15:51:52Z,2020-04-29T15:51:52Z,NONE,"@JavierRuano The time indexes are same in my real case. Maybe, I have to merge these data if I can't find the solution.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621290319,https://api.github.com/repos/pydata/xarray/issues/4016,621290319,MDEyOklzc3VlQ29tbWVudDYyMTI5MDMxOQ==,34353851,2020-04-29T15:35:01Z,2020-04-29T15:35:01Z,NONE,"pandas doesn't have that problem
import pandas as pd
x1=pd.DataFrame([['1','2','3']])
x2=pd.DataFrame([['4','5','6']])
pd.concat([x1,x2],axis=1)

El mié., 29 abr. 2020 a las 17:23, Javier Ruano (<javier.ruanno@gmail.com>)
escribió:

> the time is the same. do you have tried to change the second one time
> index?
>
> El mié., 29 abr. 2020 a las 16:36, Xin Zhang (<notifications@github.com>)
> escribió:
>
>> It's impossible to concatenate two arrays on same named dimensions with
>> different sizes.
>> MCVE Code Sample
>>
>> import xarray as xrimport pandas as pd
>>
>> a = xr.DataArray([0], dims=['x'])
>> b = xr.DataArray([1, 2, 3], dims=['x'])
>> a = a.expand_dims(""time"")
>> b = b.expand_dims(""time"")
>> a.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
>> b.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
>> c = xr.concat([a, b], dim='time')print(c)
>>
>> Expected Output
>>
>> [0, 1, 2, 3]
>>
>> Problem Description
>>
>>   File ""C:\Users\Xin\Desktop\test_github.py"", line 10, in <module>
>>     c = xr.concat([a, b], dim='time')
>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 135, in concat
>>     return f(objs, dim, data_vars, coords, compat, positions, fill_value, join)
>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 455, in _dataarray_concat
>>     join=join,
>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 319, in _dataset_concat
>>     *datasets, join=join, copy=False, exclude=[dim], fill_value=fill_value
>>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\alignment.py"", line 327, in align
>>     % (dim, sizes)
>> ValueError: arguments without labels along dimension 'x' cannot be aligned because they have different dimension sizes: {1, 3}
>>
>> Versions Output of xr.show_versions() INSTALLED VERSIONS
>>
>> commit: None
>> python: 3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 21:48:41)
>> [MSC v.1916 64 bit (AMD64)]
>> python-bits: 64
>> OS: Windows
>> OS-release: 10
>> machine: AMD64
>> processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
>> byteorder: little
>> LC_ALL: None
>> LANG: None
>> LOCALE: None.None
>> libhdf5: 1.10.5
>> libnetcdf: 4.7.3
>>
>> xarray: 0.15.1
>> pandas: 1.0.3
>> numpy: 1.18.1
>> scipy: 1.4.1
>> netCDF4: 1.5.3
>> pydap: None
>> h5netcdf: None
>> h5py: 2.10.0
>> Nio: None
>> zarr: 2.4.0
>> cftime: 1.1.1.2
>> nc_time_axis: None
>> PseudoNetCDF: None
>> rasterio: 1.1.3
>> cfgrib: None
>> iris: None
>> bottleneck: None
>> dask: 2.10.1
>> distributed: 2.14.0
>> matplotlib: 3.2.1
>> cartopy: 0.17.0
>> seaborn: 0.10.0
>> numbagg: None
>> setuptools: 46.1.3.post20200325
>> pip: 20.0.2
>> conda: None
>> pytest: None
>> IPython: 7.13.0
>> sphinx: 2.4.4
>>
>> —
>> You are receiving this because you are subscribed to this thread.
>> Reply to this email directly, view it on GitHub
>> <https://github.com/pydata/xarray/issues/4016>, or unsubscribe
>> <https://github.com/notifications/unsubscribe-auth/AIGDFO35OSYH6NU6GMCMGWTRPA3PDANCNFSM4MTY32IQ>
>> .
>>
>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666
https://github.com/pydata/xarray/issues/4016#issuecomment-621283446,https://api.github.com/repos/pydata/xarray/issues/4016,621283446,MDEyOklzc3VlQ29tbWVudDYyMTI4MzQ0Ng==,34353851,2020-04-29T15:23:59Z,2020-04-29T15:23:59Z,NONE,"the time is the same. do you have tried to change the second one time index?

El mié., 29 abr. 2020 a las 16:36, Xin Zhang (<notifications@github.com>)
escribió:

> It's impossible to concatenate two arrays on same named dimensions with
> different sizes.
> MCVE Code Sample
>
> import xarray as xrimport pandas as pd
>
> a = xr.DataArray([0], dims=['x'])
> b = xr.DataArray([1, 2, 3], dims=['x'])
> a = a.expand_dims(""time"")
> b = b.expand_dims(""time"")
> a.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
> b.coords[""time""] = pd.DatetimeIndex(['2020-02-14 05:25:10'])
> c = xr.concat([a, b], dim='time')print(c)
>
> Expected Output
>
> [0, 1, 2, 3]
>
> Problem Description
>
>   File ""C:\Users\Xin\Desktop\test_github.py"", line 10, in <module>
>     c = xr.concat([a, b], dim='time')
>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 135, in concat
>     return f(objs, dim, data_vars, coords, compat, positions, fill_value, join)
>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 455, in _dataarray_concat
>     join=join,
>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\concat.py"", line 319, in _dataset_concat
>     *datasets, join=join, copy=False, exclude=[dim], fill_value=fill_value
>   File ""E:\miniconda3\envs\satpy\lib\site-packages\xarray\core\alignment.py"", line 327, in align
>     % (dim, sizes)
> ValueError: arguments without labels along dimension 'x' cannot be aligned because they have different dimension sizes: {1, 3}
>
> Versions Output of xr.show_versions() INSTALLED VERSIONS
>
> commit: None
> python: 3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 21:48:41)
> [MSC v.1916 64 bit (AMD64)]
> python-bits: 64
> OS: Windows
> OS-release: 10
> machine: AMD64
> processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
> byteorder: little
> LC_ALL: None
> LANG: None
> LOCALE: None.None
> libhdf5: 1.10.5
> libnetcdf: 4.7.3
>
> xarray: 0.15.1
> pandas: 1.0.3
> numpy: 1.18.1
> scipy: 1.4.1
> netCDF4: 1.5.3
> pydap: None
> h5netcdf: None
> h5py: 2.10.0
> Nio: None
> zarr: 2.4.0
> cftime: 1.1.1.2
> nc_time_axis: None
> PseudoNetCDF: None
> rasterio: 1.1.3
> cfgrib: None
> iris: None
> bottleneck: None
> dask: 2.10.1
> distributed: 2.14.0
> matplotlib: 3.2.1
> cartopy: 0.17.0
> seaborn: 0.10.0
> numbagg: None
> setuptools: 46.1.3.post20200325
> pip: 20.0.2
> conda: None
> pytest: None
> IPython: 7.13.0
> sphinx: 2.4.4
>
> —
> You are receiving this because you are subscribed to this thread.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/issues/4016>, or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AIGDFO35OSYH6NU6GMCMGWTRPA3PDANCNFSM4MTY32IQ>
> .
>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,609108666