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update benchmark data in README
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README.rst

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@@ -687,22 +687,20 @@ In the same time ``tabulate`` is comparable to other table
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pretty-printers. Given a 10x10 table (a list of lists) of mixed text
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and numeric data, ``tabulate`` appears to be slower than
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``asciitable``, and faster than ``PrettyTable`` and ``texttable``
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The following mini-benchmark was run in Python 3.5.2 on Windows
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The following mini-benchmark was run in Python 3.7.1 on Windows
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::
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================================= ========== ===========
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Table formatter time, μs rel. time
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================================= ========== ===========
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csv to StringIO 14.5 1.0
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join with tabs and newlines 20.3 1.4
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asciitable (0.8.0) 355.1 24.5
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tabulate (0.8.2) 830.3 57.3
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tabulate (0.8.2, WIDE_CHARS_MODE) 1483.4 102.4
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PrettyTable (0.7.2) 1611.9 111.2
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texttable (0.8.8) 1916.5 132.3
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================================= ========== ===========
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=========================== ========== ===========
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Table formatter time, μs rel. time
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=========================== ========== ===========
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csv to StringIO 15.6 1.0
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join with tabs and newlines 20.4 1.3
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asciitable (0.8.0) 285.5 18.3
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tabulate (0.8.3) 685.8 44.0
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PrettyTable (0.7.2) 1277.4 81.9
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texttable (1.6.0) 1744.7 111.8
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=========================== ========== ===========
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