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raise exception in case of jagged arrays #942

merged 1 commit into from Oct 21, 2018


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fzumstein commented Oct 2, 2018

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Doesn't it introduce a performance drop on huge volume of data ? Also in the same situation, wouldn't it be faster to compute the length of the first row only once (or is it a fast enough computation?)

Candid questions here

@fzumstein fzumstein force-pushed the jagged-array-check branch 3 times, most recently from f49bc59 to ee239c7 Oct 2, 2018

@fzumstein fzumstein force-pushed the jagged-array-check branch from ee239c7 to 7b6986e Oct 21, 2018

@fzumstein fzumstein added this to the v0.13.0 milestone Oct 21, 2018

@fzumstein fzumstein merged commit 6970932 into master Oct 21, 2018

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fzumstein commented Oct 21, 2018

I'd expect most users to work with numpy/pandas when using huge data. If it turns out to be an issue we can always roll back.

@fzumstein fzumstein deleted the jagged-array-check branch Oct 22, 2018

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