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  • xarray · 2 ✖
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1632718954 I_kwDOAMm_X85hUVBq 7652 Saving and loading an array of strings changes datatype to object basnijholt 6897215 closed 0     13 2023-03-20T19:15:03Z 2023-11-17T15:26:01Z 2023-11-17T15:26:01Z NONE      

What is your issue?

See the code below ```python import xarray as xr

Make an xarray with an array of strings

da = xr.DataArray( data=[["a", "b"], ["c", "d"]], dims=["x", "y"], coords={"x": [0, 1], "y": [0, 1]}, ) da.to_netcdf("test.nc", mode='w')

Load the xarray back in

da_loaded = xr.load_dataarray("test.nc") assert da.dtype == da_loaded.dtype, "Dtypes don't match" ```

Now da_loaded.dtype is dtype('O').

Same happens with engine="h5netcdf".

import xarray xarray.show_versions() ``` INSTALLED VERSIONS

commit: None python: 3.11.0 | packaged by conda-forge | (main, Jan 14 2023, 12:26:40) [Clang 14.0.6 ] python-bits: 64 OS: Darwin OS-release: 22.3.0 machine: arm64 processor: arm byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: None

xarray: 2023.2.0 pandas: 1.5.3 numpy: 1.24.2 scipy: 1.10.0 netCDF4: None pydap: None h5netcdf: 1.1.0 h5py: 3.8.0 Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.7.0 cartopy: None seaborn: 0.12.2 numbagg: None fsspec: 2023.1.0 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 67.3.2 pip: 23.0 conda: None pytest: 7.2.1 mypy: 1.0.1 IPython: 8.10.0 sphinx: 5.3.0 ```

 
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   completed xarray 13221727 issue
207283854 MDU6SXNzdWUyMDcyODM4NTQ= 1265 variable length of a dimension in DataArray basnijholt 6897215 closed 0     7 2017-02-13T17:22:38Z 2020-12-26T15:05:59Z 2020-12-26T15:05:59Z NONE      

I am having the following issue, say I have this code where I find eigenvalues of some system composed of the variables A, B, C, and D.

In my example the number of eigenvalues (num_eigs) is constant.

However, in general this number is not constant. Is there a way in xarray to handle this issue?

``` import numpy as np import xarray as xr A = np.linspace(0, 40, 10) B = np.linspace(0, 1, 20) C = np.linspace(0, 1, 30) D = np.linspace(-3, 3, 40)

num_eigs = 4

pretend like this is taking the eigenvalues of a matrix composed with A, B, C, and D

res = np.random.rand(len(A), len(B), len(C), len(D), num_eigs)

now I need to set the last dimension to range(res.shape[-1]))

da = xr.DataArray(res, coords= [('A', A), ('B', B), ('C', C), ('D', D), ('eig', range(res.shape[-1]))]) ```

For those that ask why I would need this: I do numerics in quantum mechanics and create quantum systems with certain parameters. Some of these parameters could be the system size. This would result in different Hamiltonians (a matrix describing the system) and therefore in a different number of eigenvalues.

 
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   completed xarray 13221727 issue

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