issue_comments: 345575240
This data as json
| 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/pull/1528#issuecomment-345575240 | https://api.github.com/repos/pydata/xarray/issues/1528 | 345575240 | MDEyOklzc3VlQ29tbWVudDM0NTU3NTI0MA== | 306380 | 2017-11-20T02:28:07Z | 2017-11-20T02:28:07Z | MEMBER | That is, indeed, quite exciting. Also exciting is that I was able to look at and compute on your data easily. ```python In [1]: import zarr In [2]: import gcsfs In [3]: fs = gcsfs.GCSFileSystem(project='pangeo-181919') In [4]: gcsmap = gcsfs.mapping.GCSMap('zarr_store_test', gcs=fs, check=True, create=False) In [5]: import xarray as xr In [6]: ds_gcs = xr.open_zarr(gcsmap, mode='r') In [7]: ds_gcs Out[7]: <xarray.Dataset> Dimensions: (x: 200, y: 100) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ... * y (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ... Data variables: bar (x) float64 dask.array<shape=(200,), chunksize=(40,)> foo (y, x) float32 dask.array<shape=(100, 200), chunksize=(50, 40)> Attributes: array_atr: [1, 2] some_attr: copana In [8]: ds_gcs.sum() Out[8]: <xarray.Dataset> Dimensions: () Data variables: bar float64 dask.array<shape=(), chunksize=()> foo float32 dask.array<shape=(), chunksize=()> In [9]: ds_gcs.sum().compute() Out[9]: <xarray.Dataset> Dimensions: () Data variables: bar float64 0.0 foo float32 20000.0 ``` |
{
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 1,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
253136694 |