issue_comments: 354705066
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| 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/1805#issuecomment-354705066 | https://api.github.com/repos/pydata/xarray/issues/1805 | 354705066 | MDEyOklzc3VlQ29tbWVudDM1NDcwNTA2Ng== | 7342379 | 2018-01-02T05:25:31Z | 2018-01-02T05:25:31Z | NONE | I use this dataset: ftp://mit.ecco-group.org/ecco_for_las/version_4/release2/nctiles_monthly/TFLUX My code: ``` import xarray as xr ds = xr.open_mfdataset('./nctiles_monthly/TFLUX/TFLUX.nc',concat_dim='tile') TFLUX = ds.TFLUX TFLUX.values[1,1,1] = 0TFLUX.values[1,1,1] TFLUX.values[1,1,1] array([ 60.46262741, 57.78710175, 56.33338547, 56.44807434, ..., 76.84630585, 74.65901184], dtype=float32)
INSTALLED VERSIONScommit: None python: 2.7.14.final.0 python-bits: 64 OS: Darwin OS-release: 17.3.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: None.None xarray: 0.10.0 pandas: 0.22.0 numpy: 1.13.3 scipy: 0.18.1 netCDF4: 1.2.6 h5netcdf: None Nio: None bottleneck: None cyordereddict: None dask: 0.16.0 matplotlib: 2.1.0 cartopy: None seaborn: None setuptools: 36.5.0 pip: 9.0.1 conda: None pytest: 3.2.3 IPython: 5.1.0 sphinx: None ``` |
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