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  • delgadom · 4 ✖

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  • Support creating DataSet from streaming object · 4 ✖

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  • CONTRIBUTOR · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
373541528 https://github.com/pydata/xarray/issues/1075#issuecomment-373541528 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDM3MzU0MTUyOA== delgadom 3698640 2018-03-15T22:21:51Z 2018-03-16T01:33:24Z CONTRIBUTOR

xarray==0.10.2 netCDF4==1.3.1

Just tried it again and didn't have any issues:

```python patt = ( 'http://nasanex.s3.amazonaws.com/NEX-GDDP/BCSD/{scen}/day/atmos/{var}/' + 'r1i1p1/v1.0/{var}day_BCSD{scen}r1i1p1{model}_{year}.nc')

def open_url_dataset(url):

fname = os.path.splitext(os.path.basename(url))[0]
res = requests.get(url)
content = io.BytesIO(res.content)
nc4_ds = netCDF4.Dataset(fname, memory=res.content)

store = xr.backends.NetCDF4DataStore(nc4_ds)
ds = xr.open_dataset(store)

return ds

ds = open_url_dataset(url=patt.format( model='GFDL-ESM2G', scen='historical', var='tasmax', year=1988)) ds ```

 
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   Support creating DataSet from streaming object 186895655
357125148 https://github.com/pydata/xarray/issues/1075#issuecomment-357125148 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDM1NzEyNTE0OA== delgadom 3698640 2018-01-12T02:27:27Z 2018-01-12T02:27:27Z CONTRIBUTOR

yes! Thanks @jhamman and @shoyer. I hadn't tried it yet, but just did. worked great!

```python In [1]: import xarray as xr ...: import requests ...: import netCDF4 ...: ...: %matplotlib inline

In [2]: res = requests.get( ...: 'http://nasanex.s3.amazonaws.com/NEX-GDDP/BCSD/rcp45/day/atmos/tasmin/' + ...: 'r1i1p1/v1.0/tasmin_day_BCSD_rcp45_r1i1p1_CESM1-BGC_2073.nc')

In [3]: res.status_code Out [3]: 200

In [4]: res.headers['content-type'] Out [4]: 'application/x-netcdf'

In [5]: nc4_ds = netCDF4.Dataset('tasmin_day_BCSD_rcp45_r1i1p1_CESM1-BGC_2073', memory=res.content)

In [6]: store = xr.backends.NetCDF4DataStore(nc4_ds)

In [7]: ds = xr.open_dataset(store)

In [8]: ds.tasmin.isel(time=0).plot() /global/home/users/mdelgado/git/public/xarray/xarray/plot/utils.py:51: FutureWarning: 'pandas.tseries.converter.register' has been moved and renamed to 'pandas.plotting.register_matplotlib_converters'. converter.register() Out [8]: <matplotlib.collections.QuadMesh at 0x2aede3c922b0> ![output_7_2](https://user-images.githubusercontent.com/3698640/34856943-f82619f4-f6fc-11e7-831d-f5d4032a338a.png)python In [9]: ds Out [9]: <xarray.Dataset> Dimensions: (lat: 720, lon: 1440, time: 365) Coordinates: * time (time) datetime64[ns] 2073-01-01T12:00:00 2073-01-02T12:00:00 ... * lat (lat) float32 -89.875 -89.625 -89.375 -89.125 -88.875 -88.625 ... * lon (lon) float32 0.125 0.375 0.625 0.875 1.125 1.375 1.625 1.875 ... Data variables: tasmin (time, lat, lon) float64 ... Attributes: parent_experiment: historical parent_experiment_id: historical parent_experiment_rip: r1i1p1 Conventions: CF-1.4 institution: NASA Earth Exchange, NASA Ames Research C... institute_id: NASA-Ames realm: atmos modeling_realm: atmos version: 1.0 downscalingModel: BCSD experiment_id: rcp45 frequency: day realization: 1 initialization_method: 1 physics_version: 1 tracking_id: 1865ff49-b20c-4268-852a-a9503efec72c driving_data_tracking_ids: N/A driving_model_ensemble_member: r1i1p1 driving_experiment_name: historical driving_experiment: historical model_id: BCSD references: BCSD method: Thrasher et al., 2012, Hydro... DOI: http://dx.doi.org/10.7292/W0MW2F2G experiment: RCP4.5 title: CESM1-BGC global downscaled NEX CMIP5 Cli... contact: Dr. Rama Nemani: rama.nemani@nasa.gov, Dr... disclaimer: This data is considered provisional and s... resolution_id: 0.25 degree project_id: NEXGDDP table_id: Table day (12 November 2010) source: BCSD 2014 creation_date: 2015-01-07T19:18:31Z forcing: N/A product: output ```

 
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   Support creating DataSet from streaming object 186895655
347705483 https://github.com/pydata/xarray/issues/1075#issuecomment-347705483 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDM0NzcwNTQ4Mw== delgadom 3698640 2017-11-28T23:58:41Z 2017-11-28T23:58:41Z CONTRIBUTOR

Thanks @shoyer. So you can download the entire object into memory and then create a file image and read that? While not a full fix, it's definitely an improvement over download-to-disk-then-read workflow!

 
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   Support creating DataSet from streaming object 186895655
258025809 https://github.com/pydata/xarray/issues/1075#issuecomment-258025809 https://api.github.com/repos/pydata/xarray/issues/1075 MDEyOklzc3VlQ29tbWVudDI1ODAyNTgwOQ== delgadom 3698640 2016-11-02T23:03:34Z 2016-11-02T23:03:34Z CONTRIBUTOR

Got it. :( Thanks!

 
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   Support creating DataSet from streaming object 186895655

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