issue_comments: 409167123

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/issues/2329#issuecomment-409167123 https://api.github.com/repos/pydata/xarray/issues/2329 409167123 MDEyOklzc3VlQ29tbWVudDQwOTE2NzEyMw== 12278765 2018-07-31T10:04:10Z 2018-07-31T10:04:41Z NONE

@fmaussion ds.mtpr: <xarray.DataArray 'mtpr' (time: 119330, lat: 721, lon: 1440)> dask.array<shape=(119330, 721, 1440), dtype=float32, chunksize=(119330, 16, 16)> Coordinates: * time (time) datetime64[ns] 2000-01-01T06:00:00 2000-01-01T06:00:00 ... * lon (lon) float32 0.0 0.25 0.5 0.75 1.0 1.25 1.5 1.75 2.0 2.25 2.5 ... * lat (lat) float32 90.0 89.75 89.5 89.25 89.0 88.75 88.5 88.25 88.0 ... Attributes: long_name: Mean total precipitation rate units: kg m**-2 s**-1 code: 55 table: 235 ds.mtpr.encoding: {'complevel': 0, 'shuffle': False, 'dtype': dtype('float32'), 'contiguous': False, 'zlib': False, 'source': u'era5_precip.nc', 'fletcher32': False, 'original_shape': (119330, 721, 1440), 'chunksizes': (1, 721, 1440)} Those chunksizes are the opposite of what I was expecting...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   345715825