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MemoryLoomLayer (class)
=======================
A MemoryLoomLayer represents a layer of data residing in RAM only, and provides a numpy ndarray-like interface.
They are typically obtained by creating a :class:`.LoomView` on the LoomConnection.
.. highlight:: python
.. code-block:: python
with loompy.connect("mydataset.loom") as ds:
for (ix, selection, view) in ds.scan(axis=1):
# Here, the matrix returned resides only in RAM and
# each iteration gives a slab out of the full matrix
print(view.layers["spliced"][0, :])
.. autoclass:: loompy.MemoryLoomLayer
:special-members: __init__
:members:
:undoc-members:
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