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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Optimize Affine2D transforms","articleBody":"\u003e To address @timhoffm's other comment (\"Does it still make sense to keep Affine2D._mtx as a numpy array if we only do element-wise operations?\"): I'm quite convinced the whole transform stack would be faster if the transformation matrix was not a numpy array (because 3x3 is a size where the numpy's overhead is generally bigger than the gains from vectorization), but changing everything at once (even better would be to move things to C, but using plain C structs (or equivalently C++ objects) to store the coefficients) would be quite a big PR. So I'm doing the easy parts first :-)\r\n\r\n_Originally posted by @anntzer in https://github.com/matplotlib/matplotlib/pull/22119_","author":{"url":"https://github.com/QuLogic","@type":"Person","name":"QuLogic"},"datePublished":"2022-01-11T01:44:32.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/22191/matplotlib/issues/22191"}