New properties Dataset.sizes and DataArray.sizes
#1076
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max-sixty
reviewed
Nov 3, 2016
| numpy.squeeze | ||
| """ | ||
| if dim is None: | ||
| dim = [d for d, s in self.sizes.item() if s == 1] |
max-sixty
reviewed
Nov 3, 2016
| @@ -110,6 +111,31 @@ def __setitem__(self, key, value): | |||
| self.data_array[pos_indexers] = value | |||
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| class DataArraySizes(collections.Mapping, formatting.ReprMixin): | |||
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Does this need a separate class that holds the array?
Could it be a dict of dim-name to dim-size?
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Probably not -- could just generate an object on the fly, e.g., Frozen(OrderedDict(zip(self.dims, self.shape))). Let me do a quick micro benchmark to see if that has appreciably different performance.
This allows for consistent access to dimension lengths on ``Dataset`` and ``DataArray`` xref pydata#921 (doesn't resolve it 100%, but should help significantly)
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Updated to remove the custom class. It makes accessing a single dimension length from |
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This allows for consistent access to dimension lengths on
DatasetandDataArrayxref #921 (doesn't resolve it 100%, but should help significantly)