{"id":144630,"date":"2025-03-26T11:54:50","date_gmt":"2025-03-26T06:24:50","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144630"},"modified":"2025-03-26T11:54:50","modified_gmt":"2025-03-26T06:24:50","slug":"numpy-arrange-linspace-and-logspace-functions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/","title":{"rendered":"NumPy arrange(), linspace and logspace Functions"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># arange() , linspace(), logspace()\r\n# use to create a array with Numerical values\r\n# return type of all above functios are range value\r\n#np.arange(start,stop,step,type)\r\n\r\nimport numpy as np\r\n\r\nar=np.logspace(1,5,5,dtype=\"int\")\r\nprint(ar)\r\n\r\n#linespace\r\n# ar=np.linspace(1,10,5,dtype=\"float\")\r\n# print(ar)\r\n# print(\"------------------------------------\")\r\n\r\n# ar1=np.arange(1,10,5,dtype=\"int32\")\r\n# print(ar1)\r\n\r\n#ar=np.arange(1,100,2,dtype=\"int32\")\r\n# ar=np.arange(10,1,-1,dtype=\"int32\")\r\n# print(ar)\r\n# print(ar.dtype)\r\n# print(ar.itemsize)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # arange() , linspace(), logspace() # use to create a array with Numerical values # return type of all above functios are range value #np.arange(start,stop,step,type) import numpy as np ar=np.logspace(1,5,5,dtype=&#8221;int&#8221;) print(ar) #linespace&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22401],"tags":[9170,33903,33904,33905,31785,31784,33902],"class_list":["post-144630","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-numpy","tag-numpy-arrange-function","tag-numpy-linspace-functions","tag-numpy-logspace-functions","tag-numpy-practical","tag-numpy-program","tag-numpy-turorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NumPy arrange(), linspace and logspace Functions - DataFlair<\/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:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy arrange(), linspace and logspace Functions - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 # arange() , linspace(), logspace() # use to create a array with Numerical values # return type of all above functios are range value #np.arange(start,stop,step,type) import numpy as np ar=np.logspace(1,5,5,dtype=&quot;int&quot;) print(ar) #linespace&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-26T06:24:50+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"NumPy arrange(), linspace and logspace Functions - DataFlair","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/","og_locale":"en_US","og_type":"article","og_title":"NumPy arrange(), linspace and logspace Functions - DataFlair","og_description":"Program 1 # arange() , linspace(), logspace() # use to create a array with Numerical values # return type of all above functios are range value #np.arange(start,stop,step,type) import numpy as np ar=np.logspace(1,5,5,dtype=\"int\") print(ar) #linespace&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-03-26T06:24:50+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"NumPy arrange(), linspace and logspace Functions","datePublished":"2025-03-26T06:24:50+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/"},"wordCount":8,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["Numpy","numpy arrange() function","numpy linspace functions","numpy logspace functions","numpy practical","numpy program","numpy turorial"],"articleSection":["NumPy Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/","url":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/","name":"NumPy arrange(), linspace and logspace Functions - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"datePublished":"2025-03-26T06:24:50+00:00","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/numpy-arrange-linspace-and-logspace-functions\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"NumPy Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/numpy\/"},{"@type":"ListItem","position":3,"name":"NumPy arrange(), linspace and logspace Functions"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. Lead Tomorrow.","publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/data-flair.training\/blogs\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/data-flair.training\/blogs\/#organization","name":"DataFlair","url":"https:\/\/data-flair.training\/blogs\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","width":106,"height":48,"caption":"DataFlair"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataFlairWS\/","https:\/\/x.com\/DataFlairWS","https:\/\/www.linkedin.com\/company\/dataflair-web-services-pvt-ltd\/","https:\/\/www.youtube.com\/user\/DataFlairWS"]},{"@type":"Person","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445","name":"DataFlair Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/2302ebc438084d2f1f993edc1996a0aae01332e81f3227cba8df0c48ec010ca4?s=96&d=mm&r=g","caption":"DataFlair Team"},"description":"DataFlair Team provides high-impact content on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. We make complex concepts easy to grasp, helping learners of all levels succeed in their tech careers.","url":"https:\/\/data-flair.training\/blogs\/author\/dfteam6\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/144630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/users\/581"}],"replies":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/comments?post=144630"}],"version-history":[{"count":2,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/144630\/revisions"}],"predecessor-version":[{"id":144640,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/144630\/revisions\/144640"}],"wp:attachment":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media?parent=144630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/categories?post=144630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/tags?post=144630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}