質問編集履歴

1

動作結果の添付

2017/10/29 19:04

投稿

sasaya
sasaya

スコア12

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- 大量のcsvファイルを高速に読み込みたい。
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+ 300kb程度の大量のcsvを高速に読み込みたい。
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+ 一例
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+
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+ ```
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+
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+ 8383269 function calls (8141048 primitive calls) in 905.298 seconds
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+
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+ Ordered by: internal time
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+
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+ ncalls tottime percall cumtime percall filename:lineno(function)
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+
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+ 25 384.667 15.387 384.667 15.387 {built-in method numpy.core.multiarray.concatenate}
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+
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+ 1 244.721 244.721 711.806 711.806 combine.py:286(_dataarray_concat)
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+ 24 130.215 5.426 130.215 5.426 {method 'acquire' of '_thread.lock' objects}
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+
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+ 1 55.747 55.747 904.727 904.727 read_data.py:3(<module>)
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+
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+ 1 13.966 13.966 13.966 13.966 {built-in method pandas._libs.lib.infer_datetimelike_array}
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+
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+ 3960 7.479 0.002 8.485 0.002 indexing.py:480(__setitem__)
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+ 11878 6.137 0.001 6.137 0.001 {built-in method pandas._libs.lib.array_equivalent_object}
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+
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+ ```
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