{"id":8694,"date":"2021-06-12T10:56:04","date_gmt":"2021-06-12T05:26:04","guid":{"rendered":"https:\/\/python-programs.com\/?p=8694"},"modified":"2021-11-22T18:40:39","modified_gmt":"2021-11-22T13:10:39","slug":"numpy-arange-create-a-numpy-array-of-evenly-spaced-numbers-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/numpy-arange-create-a-numpy-array-of-evenly-spaced-numbers-in-python\/","title":{"rendered":"numpy.arange() : Create a Numpy Array of evenly spaced numbers in Python"},"content":{"rendered":"<h2 class=\"post-title entry-title\">Creating a Numpy Array of evenly spaced numbers in Python<\/h2>\n<p>This article is all about In this article creating a Numpy array of evenly spaced numbers over a given interval using the function <code>numpy.arrange()<\/code>.<\/p>\n<h3>numpy.arrange() :<\/h3>\n<p>Numpy module in python provides a function <code>numpy.arrange()<\/code> to create an Numpy Array of evenly space elements within a given interval. Actually it returns an evenly spaced array of numbers from the range-array starting from start point to stop point with equal step intervals.<\/p>\n<div class=\"enlighter-default enlighter-v-standard enlighter-t-classic enlighter-hover \">\n<div class=\"enlighter\">\n<div class=\"\">\n<pre><span class=\"enlighter-text\">Syntax- numpy.<\/span><span class=\"enlighter-m1\">arange<\/span><span class=\"enlighter-g1\">([<\/span><span class=\"enlighter-text\">start, <\/span><span class=\"enlighter-g1\">]<\/span><span class=\"enlighter-text\">stop, <\/span><span class=\"enlighter-g1\">[<\/span><span class=\"enlighter-text\">step, <\/span><span class=\"enlighter-g1\">]<\/span><span class=\"enlighter-text\">dtype=<\/span><span class=\"enlighter-e1\">None<\/span><span class=\"enlighter-g1\">)<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p><i>Where\u00a0<\/i><\/p>\n<ul>\n<li><strong>start :<\/strong> Represents the start value of range. (As it\u2019s optional, so if not provided it will consider default value as 0)<\/li>\n<li><strong>stop :<\/strong> Represents the end value of range. (Actually it doesn\u2019t include this value but it acts as an end point indicator)<\/li>\n<li><strong>step :<\/strong> Represents the spacing between two adjacent values. (As it\u2019s optional, so if not provided it will consider default value as 1)<\/li>\n<li><strong>dtype :<\/strong> Represents data type of elements.<\/li>\n<\/ul>\n<p>But to use this Numpy module we have to import following module i.e.<\/p>\n<div class=\"enlighter-default enlighter-v-standard enlighter-t-classic enlighter-hover \">\n<div class=\"enlighter\">\n<div class=\"\">\n<pre><span class=\"enlighter-text\">import numpy as np<\/span><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<div>Let&#8217;s see below examples to understand the concept well.<\/div>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"#Create_a_Numpy_Array_containing_numbers_from_4_to_20_but_at_equal_interval_of_2\">Create a Numpy Array containing numbers from 4 to 20 but at equal interval of 2<\/a><\/li>\n<li><a href=\"#Create_a_Numpy_Array_containing_numbers_from_1_to_15_but_at_default_interval_of_1\">Create a Numpy Array containing numbers from 1 to 15 but at default interval of 1<\/a><\/li>\n<li><a href=\"#Create_a_Numpy_Array_containing_numbers_upto_15_but_start_and_step_is_default\">Create a Numpy Array containing numbers upto 15 but start and step is default<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\n<h3><a id=\"Create_a_Numpy_Array_containing_numbers_from_4_to_20_but_at_equal_interval_of_2\"><\/a>Example-1 : Create a Numpy Array containing numbers from 4 to 20 but at equal interval of 2<\/h3>\n<\/div>\n<div>Here start is 4, stop is 20 and step is 2.<\/div>\n<div>So let&#8217;s see the below program.<\/div>\n<div>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# Start = 4, Stop = 20, Step Size = 2\r\n#achieving the result using arrange()\r\nsample_arr = np.arange(4, 20, 2)\r\n#printing the output\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[ 4 6 8 10 12 14 16 18]<\/pre>\n<\/div>\n<div>\n<h3><a id=\"Create_a_Numpy_Array_containing_numbers_from_1_to_15_but_at_default_interval_of_1\"><\/a>Example-2 : Create a Numpy Array containing numbers from 1 to 15 but at default interval of 1<\/h3>\n<div>Here start is 1, stop is 15 and step is default i.e 1.<\/div>\n<div>So let&#8217;s see the below program.<\/div>\n<div>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# Start = 1, Stop = 15, Step Size = 1(default)\r\n#achieving the result using arrange()\r\nsample_arr = np.arange(1, 15)\r\n#printing the output\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[ 1 2 3 4 5 6 7 8 9 10 11 12 13 14]<\/pre>\n<\/div>\n<\/div>\n<div>\n<h3><a id=\"Create_a_Numpy_Array_containing_numbers_upto_15_but_start_and_step_is_default\"><\/a>Example-3 : Create a Numpy Array containing numbers upto 15 but start and step is default<\/h3>\n<div>Here start is default i.e 0, stop is 15 and step is default i.e 1.<\/div>\n<div>So let&#8217;s see the below program.<\/div>\n<div>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n# Start = 0(default), Stop = 15, Step Size = 1(default)\r\n#achieving the result using arrange()\r\nsample_arr = np.arange(15)\r\n#printing the output\r\nprint(sample_arr)<\/pre>\n<pre>Output :\r\n[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14]<\/pre>\n<\/div>\n<\/div>\n<div><\/div>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Creating a Numpy Array of evenly spaced numbers in Python This article is all about In this article creating a Numpy array of evenly spaced numbers over a given interval using the function numpy.arrange(). numpy.arrange() : Numpy module in python provides a function numpy.arrange() to create an Numpy Array of evenly space elements within a &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/numpy-arange-create-a-numpy-array-of-evenly-spaced-numbers-in-python\/\"> <span class=\"screen-reader-text\">numpy.arange() : Create a Numpy Array of evenly spaced numbers in Python<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":8696,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[5],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - 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