'to_array' creates a read-only numpy array

[max-sixty]

Is this intended? It's creating some problems downstream with pandas, but maybe that's a pandas issue?

Note the WRITEABLE : False here:

In [126]: ds=xray.Dataset({'a':xray.DataArray(pd.np.random.rand(5,3))}, coords={'b': xray.DataArray(pd.np.random.rand(5))})

In [127]: ds.to_array('d').b.values.flags
Out[127]: 
  C_CONTIGUOUS : True
  F_CONTIGUOUS : True
  OWNDATA : False
  WRITEABLE : False
  ALIGNED : True
  UPDATEIFCOPY : False

Without the to_array, it's fine:

In [128]: ds.b.values.flags
Out[128]: 
  C_CONTIGUOUS : True
  F_CONTIGUOUS : True
  OWNDATA : True
  WRITEABLE : True
  ALIGNED : True
  UPDATEIFCOPY : False

xref pandas-dev/pandas#11502

[shoyer]

Hmm. I can't reproduce this on my machine (using numpy 1.10.2 and the dev version of xray):

In [21]: ds.to_array('d').b.values.flags
Out[21]:
  C_CONTIGUOUS : True
  F_CONTIGUOUS : True
  OWNDATA : True
  WRITEABLE : True
  ALIGNED : True
  UPDATEIFCOPY : False

Which version of numpy do you have installed?

My best guess is that this might be someone related to broadcast_to, which can create read only numpy arrays. But nothing should be happening to the coordinate arrays at all with to_array...

[max-sixty]

You're right - it's on 0.6.1 only. (Apologies...)