Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6342#discussion_r33807648
--- Diff: python/pyspark/mllib/linalg.py ---
@@ -952,6 +1001,84 @@ def __init__(self, numRows, numCols, colPtrs,
rowIndices, values,
raise ValueError("Expected rowIndices of length %d, got %d."
% (self.rowIndices.size, self.values.size))
+ def __str__(self):
+ """
+ Pretty printing of a SparseMatrix
+
+ >>> sm1 = SparseMatrix(2, 2, [0, 2, 3], [0, 1, 1], [2, 3, 4])
+ >>> print(sm1)
+ 2 X 2 CSCMatrix
+ (0,0) 2.0
+ (1,0) 3.0
+ (1,1) 4.0
+ >>> sm1 = SparseMatrix(2, 2, [0, 2, 3], [0, 1, 1], [2, 3, 4], True)
+ >>> print(sm1)
+ 2 X 2 CSRMatrix
+ (0,0) 2.0
+ (0,1) 3.0
+ (1,1) 4.0
+ """
+ spstr = "{0} X {1} ".format(self.numRows, self.numCols)
+ if self.isTransposed:
+ spstr += "CSRMatrix\n"
+ else:
+ spstr += "CSCMatrix\n"
+
+ cur_col = 0
+ smlist = []
+
+ # Display first 5 values.
--- End diff --
Why 5 here but 6 in dense matrix? I think it should be okay to increate
this value to 16 or 32.
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