PYME.IO.dataWrap module¶
Classes to wrap a source of data so that it looks like an array
- class PYME.IO.dataWrap.ListWrapper(dataList, strict_dims=False)¶
Bases:
BaseDataSource- property dtype¶
- getEvents()¶
Return any events which are ascociated with this DataSource
- getNumSlices()¶
Return the number of 2D slices. This is the product of the dimensions > 2
- getSlice(ind)¶
Return the nth 2D slice of the DataSource where the higher dimensions have been flattened.
equivalent to indexing contiguous 4D data with data[:,:,ind%data.shape[2], ind/data.shape[3]]
e.g. for a 100x100x50x2 DataSource, getSlice(20) would return data[:,:,20,0].squeeze() whereas getSlice(75) would return data[:,:,25, 1].squeeze()
- getSliceShape()¶
Return the 2D shape of a slice
- property is_complete¶
For datasources which may be opened before spooling is finished.
Over-ridden in derived classes (currently only ClusterPZFDataSource)
- Returns
- is_completebool
has spooling of this series finished
- property ndim¶
- property shape¶
The 4D shape of the datasource
- PYME.IO.dataWrap.Wrap(datasource, strict_dims=False)¶
Wrap a data source such that it is indexable like a numpy array.