{"id":8650,"date":"2021-06-12T10:55:54","date_gmt":"2021-06-12T05:25:54","guid":{"rendered":"https:\/\/python-programs.com\/?p=8650"},"modified":"2021-11-22T18:53:29","modified_gmt":"2021-11-22T13:23:29","slug":"find-max-value-its-index-in-numpy-array-numpy-amax","status":"publish","type":"post","link":"https:\/\/python-programs.com\/find-max-value-its-index-in-numpy-array-numpy-amax\/","title":{"rendered":"Find max value &#038; its index in Numpy Array | numpy.amax()"},"content":{"rendered":"<h2>Finding max value and it&#8217;s index in Numpy Array<\/h2>\n<p>In this article we will discuss about how we can find max value and the index of that max value in Numpy array using <code>numpy.amx()<\/code>.<\/p>\n<h3>numpy.amax( ) :<\/h3>\n<pre>Syntax-numpy.amax(arr, axis=None, out=None, keepdims=&lt;no value&gt;, initial=&lt;no value&gt;)<\/pre>\n<p><strong>Parameters :<\/strong><\/p>\n<ol>\n<li><strong>arr:<\/strong> Numpy array<\/li>\n<li><strong>axis: <\/strong>This is an optional parameter unless provided flattens the array.<\/li>\n<\/ol>\n<p>(Default: Returns the array of max values)<\/p>\n<ol>\n<li>Axis = 0: Returns array containing max values of each columns<\/li>\n<li>Axis = 1: Returns array containing max values of each rows<\/li>\n<\/ol>\n<p>Let&#8217;s see one by one how to find it in 1D and 2D Numpy array.<\/p>\n<ul>\n<li><a href=\"#Maximum_value_&amp;_its_index_in_a_1D_Numpy_Array\">Maximum value &amp; its index in a 1D Numpy Array<\/a><\/li>\n<li><a href=\"#Find_maximum_value_&amp;_its_index_in_a_2D_Numpy_Array\">Find maximum value &amp; its index in a 2D Numpy Array<\/a><\/li>\n<li><a href=\"#numpy.amax()_&amp;_NaN\">numpy.amax() &amp; NaN<\/a><\/li>\n<\/ul>\n<h3><a id=\"Maximum_value_&amp;_its_index_in_a_1D_Numpy_Array\"><\/a>Maximum value &amp; its index in a 1D Numpy Array:<\/h3>\n<p>Let\u2019s create a 1D numpy array from a list given below and find the maximum values and its index<\/p>\n<h4>Find maximum value:<\/h4>\n<p>To find the maximum value in the array, we can use <code>numpy.amax( )<\/code> function and pass the array as function to it.<\/p>\n<pre>[10,5,19,56,87,96,74,15,50,12,98]<\/pre>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\n# Finding the maximum value inside an array using amax( )\r\narr = np.array([10, 5, 19, 56, 87, 96, 74, 15, 50, 12, 98])\r\nmaxElem = np.amax(arr)\r\nprint(\"Max element : \", maxElem)\r\n<\/pre>\n<pre>Output :\r\nMax element :\u00a0 98<\/pre>\n<h4>Find index of maximum value :<\/h4>\n<p>To get the index of the max value in the array, we will we have to use the <code>where( )<\/code> function from the numpy library.<\/p>\n<p>CODE:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\n# Index of the maximum element\r\narr = np.array([10, 5, 19, 56, 87, 96, 74, 15, 50, 12, 98])\r\nmaxElem = np.amax(arr)\r\nprint(\"Max element : \", maxElem)\r\nres = np.where(arr == np.amax(arr))\r\nprint(\"Returned result  :\", res)\r\nprint(\"List of Indices of maximum element :\", res[0])\r\n<\/pre>\n<pre>Output :\r\nMax element :\u00a0 98\r\nReturned result\u00a0 : (array([10], dtype=int32),)\r\nList of Indices of maximum element : [10]<\/pre>\n<p>Here, when we called the where( ) function, it returned us with a tuple of\u00a0 arrays containing the indices of all the\u00a0 values that follow our conditions.<\/p>\n<h3><a id=\"Find_maximum_value_&amp;_its_index_in_a_2D_Numpy_Array\"><\/a>Find maximum value &amp; its index in a 2D Numpy Array<\/h3>\n<p>We will use the following 2D array to demonstrate.<\/p>\n<p><em>{50,59,54}<\/em><\/p>\n<p><em>{45,46,78}<\/em><\/p>\n<p><em>{98,20,24}<\/em><\/p>\n<h4>Find max value in complete 2D numpy array :<\/h4>\n<p>When we are going to find the max value in a 2D numpy array, we can either do it by finding a single value or we can find column wise or row wise.<\/p>\n<p>CODE:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\narr = np.array([[50, 59, 54], [45, 46, 78], [98, 20, 24]])\r\n# Get the maximum value from the 2D array\r\n\r\nmaxValue = np.amax(arr)\r\nprint(\"The maximum value inside the array is\", maxValue)\r\n<\/pre>\n<pre>Output :\r\nThe maximum value inside the array is 98<\/pre>\n<p><strong>Column or Row wise value<\/strong><\/p>\n<p>To find the max value per each row, we can\u00a0 pass axis =1 and for columns we can use axis =0.<\/p>\n<p>CODE:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\narr = np.array([[50, 59, 54], [45, 46, 78], [98, 20, 24]])\r\n# Get the maximum valuevin rows\r\nmaxRows = np.amax(arr, axis=1)\r\n# Get the maximum valuevin columns\r\nmaxColumns = np.amax(arr, axis=0)\r\n\r\nprint(\r\n    \"The maximum values in rows are : \",\r\n    maxRows,\r\n    \" and the maximum value in columns are : \",\r\n    maxColumns,\r\n)\r\n<\/pre>\n<pre>Output :\r\nThe maximum values in rows are :\u00a0 [59 78 98]\u00a0 and the maximum value in columns are :\u00a0 [98 59 78]<\/pre>\n<h4>Find index of maximum value from 2D numpy array:<\/h4>\n<p>CODE:<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\narr = np.array([[50, 59, 54], [45, 46, 78], [98, 20, 24]])\r\n# Get the index of max value inside the 2D array\r\nres = np.where(arr == np.amax(arr))\r\nprint(\"Tuple :\", res)\r\nprint(\"Now Coordinates of max value in 2D array :\")\r\n# zipping both the arrays to find the coordinates\r\nCoordinates = list(zip(res[0], res[1]))\r\n\r\nfor elem in Coordinates:\r\n    print(elem)\r\n\r\n<\/pre>\n<pre>Output :\r\nTuple : (array([2], dtype=int32), array([0], dtype=int32))\r\nNow Coordinates Of max value in 2D array :\r\n(2, 0)<\/pre>\n<h3><a id=\"numpy.amax()_&amp;_NaN\"><\/a>numpy.amax() &amp; NaN :<\/h3>\n<p><code>amax( )<\/code> also propagates the NaN values , which means if there is a NaN value present in the numpy array, then the max value returned by the function will be NaN.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import numpy as np\r\n\r\narr = np.array([[50, 59, np.NaN], [45, 46, 78], [98, 20, 24]])\r\n# amax( ) propagating the NaN values\r\n\r\nprint(\"The max element in the numpy array is :\", np.amax(arr))\r\n<\/pre>\n<pre>Output :\r\nThe max element in the numpy array is : nan<\/pre>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Finding max value and it&#8217;s index in Numpy Array In this article we will discuss about how we can find max value and the index of that max value in Numpy array using numpy.amx(). numpy.amax( ) : Syntax-numpy.amax(arr, axis=None, out=None, keepdims=&lt;no value&gt;, initial=&lt;no value&gt;) Parameters : arr: Numpy array axis: This is an optional parameter &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/find-max-value-its-index-in-numpy-array-numpy-amax\/\"> <span class=\"screen-reader-text\">Find max value &#038; its index in Numpy Array | numpy.amax()<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":8660,"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 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Find max value &amp; its index in Numpy Array | numpy.amax() - Python Programs<\/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:\/\/python-programs.com\/find-max-value-its-index-in-numpy-array-numpy-amax\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" 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