issues: 812416075
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| 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 |
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| 812416075 | MDU6SXNzdWU4MTI0MTYwNzU= | 4930 | xr.open_zarr converts 0 values to nan | 33122845 | closed | 0 | 0 | 2021-02-19T23:01:15Z | 2021-02-20T10:43:01Z | 2021-02-20T10:43:01Z | CONTRIBUTOR | What happened: It returned an array of nan values What you expected to happen: an array of zeroes Minimal Complete Verifiable Example: ZeroToNan.zip ```python Your code herez = zarr.open('ZeroToNan.zip') print(z['foo__a'][:]) print(xr.open_zarr(z.store).foo__a.values) ``` Anything else we need to know?: I also posted this problem here and here Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.9.1 | packaged by conda-forge | (default, Jan 26 2021, 01:34:10) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-59-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.16.2 pandas: 1.2.1 numpy: 1.20.0 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: 2.6.1 cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2021.02.0 distributed: 2021.02.0 matplotlib: 3.3.4 cartopy: None seaborn: None numbagg: None pint: None setuptools: 49.6.0.post20210108 pip: 21.0.1 conda: None pytest: 6.2.2 IPython: 7.20.0 sphinx: None |
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completed | 13221727 | issue |