{"id":20528,"date":"2022-11-09T23:57:46","date_gmt":"2022-11-09T18:27:46","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-python-numpy-arange-dtpye-why-converting-to-integer-was-zero\/"},"modified":"2022-11-09T23:57:46","modified_gmt":"2022-11-09T18:27:46","slug":"solved-python-numpy-arange-dtpye-why-converting-to-integer-was-zero","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-python-numpy-arange-dtpye-why-converting-to-integer-was-zero\/","title":{"rendered":"[Solved] python numpy arange dtpye? why converting to integer was zero"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-50180153\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"50180153\" data-parentid=\"50171141\" data-score=\"2\" 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>First let&#8217;s skip the complexity of a float step, and use a simple integer start and stop:<\/p>\n<pre><code>In [141]: np.arange(0,5)\nOut[141]: array([0, 1, 2, 3, 4])\nIn [142]: np.arange(0,5, dtype=int)\nOut[142]: array([0, 1, 2, 3, 4])\nIn [143]: np.arange(0,5, dtype=float)\nOut[143]: array([0., 1., 2., 3., 4.])\nIn [144]: np.arange(0,5, dtype=complex)\nOut[144]: array([0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j, 4.+0.j])\nIn [145]: np.arange(0,5, dtype=\"datetime64[D]\")\nOut[145]: \narray(['1970-01-01', '1970-01-02', '1970-01-03', '1970-01-04',\n       '1970-01-05'], dtype=\"datetime64[D]\")\n<\/code><\/pre>\n<p>Even <code>bool<\/code> work, within a certain range:<\/p>\n<pre><code>In [149]: np.arange(0,1, dtype=bool)\nOut[149]: array([False])\nIn [150]: np.arange(0,2, dtype=bool)\nOut[150]: array([False,  True])\nIn [151]: np.arange(0,3, dtype=bool)\nValueError: no fill-function for data-type.\nIn [156]: np.arange(0,3).astype(bool)\nOut[156]: array([False,  True,  True])\n<\/code><\/pre>\n<p>There are 2 possible boolean values, so asking for more should produce some sort of error.<\/p>\n<p><code>arange<\/code> is compiled code, so we can&#8217;t readily examine its logic (but you are welcome to search for the C code on github).<\/p>\n<p>The examples show that it does, in some sense convert the parameters into the corresponding <code>dtype<\/code>, and perform an iteration on that.  It doesn&#8217;t simply generate the range and convert to dtype at the end.<\/p>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">1<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved python numpy arange dtpye? why converting to integer was zero <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] First let&#8217;s skip the complexity of a float step, and use a simple integer start and stop: In [141]: np.arange(0,5) Out[141]: array([0, 1, 2, 3, 4]) In [142]: np.arange(0,5, dtype=int) Out[142]: array([0, 1, 2, 3, 4]) In [143]: np.arange(0,5, dtype=float) Out[143]: array([0., 1., 2., 3., 4.]) In [144]: np.arange(0,5, dtype=complex) Out[144]: array([0.+0.j, 1.+0.j, 2.+0.j, &#8230; <a title=\"[Solved] python numpy arange dtpye? why converting to integer was zero\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-python-numpy-arange-dtpye-why-converting-to-integer-was-zero\/\" aria-label=\"More on [Solved] python numpy arange dtpye? why converting to integer was zero\">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-20528","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] python numpy arange dtpye? why converting to integer was zero - 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-python-numpy-arange-dtpye-why-converting-to-integer-was-zero\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] python numpy arange dtpye? why converting to integer was zero - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] First let&#8217;s skip the complexity of a float step, and use a simple integer start and stop: In [141]: np.arange(0,5) Out[141]: array([0, 1, 2, 3, 4]) In [142]: np.arange(0,5, dtype=int) Out[142]: array([0, 1, 2, 3, 4]) In [143]: np.arange(0,5, dtype=float) Out[143]: array([0., 1., 2., 3., 4.]) In [144]: np.arange(0,5, dtype=complex) Out[144]: array([0.+0.j, 1.+0.j, 2.+0.j, ... 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