{"id":10666,"date":"2022-09-24T13:29:50","date_gmt":"2022-09-24T07:59:50","guid":{"rendered":"http:\/\/jassweb.com\/solved\/solved-why-numpy-arrays-are-slower-than-lists-with-for-loops\/"},"modified":"2022-09-24T13:29:50","modified_gmt":"2022-09-24T07:59:50","slug":"solved-why-numpy-arrays-are-slower-than-lists-with-for-loops","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-why-numpy-arrays-are-slower-than-lists-with-for-loops\/","title":{"rendered":"[Solved] Why numpy arrays are slower than lists with for loops?"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-63870758\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"63870758\" data-parentid=\"63870418\" data-score=\"0\" data-position-on-page=\"2\" data-highest-scored=\"0\" data-question-has-accepted-highest-score=\"0\" itemprop=\"suggestedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>np.arrays are much faster when using vectorized functions or to say it another way, specifically when you are not iterating over the elements.<\/p>\n<p>Here is an example.  We will add 1 to each number in the ordered list you created.<\/p>\n<p>The setup is similar except I use lists instead of ranges so I can operate on the values.<\/p>\n<pre><code>length = 150000000\nmy_list = list(range(length))\nmy_array = np.array(my_list)\n<\/code><\/pre>\n<p>Using the %%timeit magic function in jupyter notebooks<\/p>\n<pre><code>%%timeit\nfor i in range(len(my_list)):\n    my_list[i] += 1\n<\/code><\/pre>\n<p>gives<\/p>\n<pre><code>38.6 s \u00b1 3.71 s per loop (mean \u00b1 std. dev. of 7 runs, 1 loop each)\n<\/code><\/pre>\n<p>thats about 38 seconds per loop<\/p>\n<p>On the other hand<\/p>\n<pre><code>%%timeit\nnew_array = my_array + 1\n<\/code><\/pre>\n<p>gives<\/p>\n<pre><code>772 ms \u00b1 58.2 ms per loop (mean \u00b1 std. dev. of 7 runs, 1 loop each)\n<\/code><\/pre>\n<p>The operation on the numpy array took under one second (~772ms) per loop while iterating through the list and adding one to each element too around 36 seconds per loop.<\/p>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">2<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Why numpy arrays are slower than lists with for loops? <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] np.arrays are much faster when using vectorized functions or to say it another way, specifically when you are not iterating over the elements. Here is an example. We will add 1 to each number in the ordered list you created. The setup is similar except I use lists instead of ranges so I can &#8230; <a title=\"[Solved] Why numpy arrays are slower than lists with for loops?\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-why-numpy-arrays-are-slower-than-lists-with-for-loops\/\" aria-label=\"More on [Solved] Why numpy arrays are slower than lists with for loops?\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[581,349],"class_list":["post-10666","post","type-post","status-publish","format-standard","hentry","category-solved","tag-numpy","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Why numpy arrays are slower than lists with for loops? - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-why-numpy-arrays-are-slower-than-lists-with-for-loops\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Why numpy arrays are slower than lists with for loops? - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] np.arrays are much faster when using vectorized functions or to say it another way, specifically when you are not iterating over the elements. 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