Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/9441#discussion_r43831342
--- Diff: python/pyspark/mllib/linalg/distributed.py ---
@@ -500,6 +661,25 @@ def numCols(self):
"""
return self._java_matrix_wrapper.call("numCols")
+ def transpose(self):
+ """
+ Transpose this CoordinateMatrix.
+
+ >>> entries = sc.parallelize([MatrixEntry(0, 0, 1.2),
+ ... MatrixEntry(1, 0, 2),
+ ... MatrixEntry(2, 1, 3.7)])
+ >>> mat = CoordinateMatrix(entries)
+ >>> mat_transposed = mat.transpose()
+
--- End diff --
Yeah, I like the visual clarity when viewing these tests on the Python
docs, as it helps indicate that the following two tests rely on the data
structures formed above. This is generally the pattern I've followed with
these classes for cases with >1 test.
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