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https://github.com/pydata/xarray/pull/1260#issuecomment-305231172 https://api.github.com/repos/pydata/xarray/issues/1260 305231172 MDEyOklzc3VlQ29tbWVudDMwNTIzMTE3Mg== 1217238 2017-05-31T15:51:24Z 2017-05-31T15:51:24Z MEMBER

Yes, please!

On Wed, May 31, 2017 at 8:48 AM, Fabien Maussion notifications@github.com wrote:

@fmaussion commented on this pull request.

In xarray/backends/rasterio_.py https://github.com/pydata/xarray/pull/1260#discussion_r119395579:

  • chunks : int, tuple or dict, optional
  • Chunk sizes along each dimension, e.g., 5, (5, 5) or
  • {'x': 5, 'y': 5}. If chunks is provided, it used to load the new
  • DataArray into a dask array. This is an experimental feature; see the
  • documentation for more details.
  • cache : bool, optional
  • If True, cache data loaded from the underlying datastore in memory as
  • NumPy arrays when accessed to avoid reading from the underlying data-
  • store multiple times. Defaults to True unless you specify the chunks
  • argument to use dask, in which case it defaults to False. Does not
  • change the behavior of coordinates corresponding to dimensions, which
  • always load their data from disk into a pandas.Index.
  • lock : False, True or threading.Lock, optional
  • If chunks is provided, this argument is passed on to
  • :py:func:dask.array.from_array. By default, a per-variable lock is
  • used when reading data from netCDF files with the netcdf4 and h5netcdf

Now I understand much more what's going on, and also why salem was having troubles when adding diagnostic variables to netcdf objects. Can I update the docs all at once here?

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