{"id":3620,"date":"2021-08-26T07:55:15","date_gmt":"2021-08-26T02:25:15","guid":{"rendered":"https:\/\/python-programs.com\/?p=3620"},"modified":"2021-11-22T18:45:23","modified_gmt":"2021-11-22T13:15:23","slug":"np-delete-remove-items-rows-columns-from-numpy-array","status":"publish","type":"post","link":"https:\/\/python-programs.com\/np-delete-remove-items-rows-columns-from-numpy-array\/","title":{"rendered":"np.delete(): Remove items\/rows\/columns from Numpy Array | How to Delete Rows\/Columns in a Numpy Array?"},"content":{"rendered":"<p>In this tutorial, we will discuss about how we can remove items\/rows\/columns from the Numpy array. We can remove elements from a NumPy array by index position using numpy.delete( ). Get to know the syntax of numpy.delete() function and learn about all its parameters with a clear explanation. Refer to the further modules to be aware of procedures on how to remove or delete an element or multiple elements in rows\/columns of 1D and 2D Arrays by its Index Position.<\/p>\n<ul>\n<li><a href=\"#How_to_remove_items\/rows\/columns_from_Numpy_array_using_np.delete()_in_Python?\">How to remove items\/rows\/columns from Numpy array using np.delete() in Python?<\/a><\/li>\n<li><a href=\"#Delete_an_Element_in_1D_Numpy_Array_by_its_Index_position\">Delete an Element in 1D Numpy Array by its Index position<\/a><\/li>\n<li><a href=\"#Delete_multiple_elements_in_1D_Numpy_Array_by_its_Index_position\">Delete multiple elements in 1D Numpy Array by its Index position<\/a><\/li>\n<li><a href=\"#Deleting_rows_&amp;_columns_from_a_2D_Numpy_Array\">Deleting rows &amp; columns from a 2D Numpy Array<\/a><\/li>\n<li><a href=\"#Delete_a_column_in_2D_Numpy_Array_by_its_column_number\">Delete a column in 2D Numpy Array by its column number<\/a><\/li>\n<li><a href=\"#Delete_multiple_columns_in_2D_Numpy_Array_by_its_column_number\">Delete multiple columns in 2D Numpy Array by its column number<\/a><\/li>\n<li><a href=\"#Delete_a_row_in_2D_Numpy_Array_by_its_row_number\">Delete a row in 2D Numpy Array by its row number<\/a><\/li>\n<li><a href=\"#Delete_multiple_rows_in_2D_Numpy_Array_by_its_row_number\">Delete multiple rows in 2D Numpy Array by its row number<\/a><\/li>\n<li><a href=\"#Delete_specific_elements_in_2D_Numpy_Array_by_its_index_position\">Delete specific elements in 2D Numpy Array by its index position<\/a><\/li>\n<\/ul>\n<h2><a id=\"How_to_remove_items\/rows\/columns_from_Numpy_array_using_np.delete()_in_Python?\"><\/a>How to remove items\/rows\/columns from Numpy array using np.delete() in Python?<\/h2>\n<p>Python provides a method to delete elements from the numpy array depending on the index position and its syntax is provided below.<\/p>\n<p><strong><u>numpy.delete( )<\/u><\/strong><\/p>\n<p>Python\u2019s NumPy library has a method to delete elements. It is done by using the <code>np.delete( )<\/code> function.<\/p>\n<pre>Syntax:<\/pre>\n<p><em>numpy.delete(arr, obj, axis=None)<\/em><\/p>\n<p>Where,<\/p>\n<ul>\n<li><strong>arr:<\/strong> Array from which elements are to be deleted<\/li>\n<li><strong>obj:<\/strong> Index position or positions from which elements are to be deleted<\/li>\n<li><strong>axis:<\/strong> The axis along which we want to delete (1 means delete along columns, 0 means delete along the rows, if None then the array is flattened out and then the elements are to be deleted)<\/li>\n<\/ul>\n<p>It returns a copy of the array with the required elements deleted.<\/p>\n<h3><a id=\"Delete_an_Element_in_1D_Numpy_Array_by_its_Index_position\"><\/a>Delete an Element in 1D Numpy Array by its Index position<\/h3>\n<p>Let&#8217;s see the implementation of it.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-18934\" src=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-an-element-in-1D-Numpy-Array-by-its-Index-position.png\" alt=\"Python Program to Delete an element in 1D Numpy Array by its Index position\" width=\"808\" height=\"348\" srcset=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-an-element-in-1D-Numpy-Array-by-its-Index-position.png 808w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-an-element-in-1D-Numpy-Array-by-its-Index-position-300x129.png 300w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-an-element-in-1D-Numpy-Array-by-its-Index-position-768x331.png 768w\" sizes=\"(max-width: 808px) 100vw, 808px\" \/><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as np\r\n#Numpy array\r\narr = np.array([10,20,30,40,50,60,70,80,90])\r\n#deleting a=item at index 2\r\narr = np.delete(arr, 2)\r\nprint('Modified Numpy Array after deleting element at index 2')\r\nprint(arr)\r\n<\/pre>\n<pre>Output :\r\nModified Numpy Array after deleting element at index 2\r\n[10 20 40 50 60 70 80 90]<\/pre>\n<h3><a id=\"Delete_multiple_elements_in_1D_Numpy_Array_by_its_Index_position\"><\/a>Delete multiple elements in 1D Numpy Array by its Index position<\/h3>\n<p>Let&#8217;s see the implementation of it.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-18935\" src=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-Multiple-Elements-in-1D-Numpy-Array-by-its-Index-position.png\" alt=\"Python Program to Delete Multiple Elements in 1D Numpy Array by its Index position\" width=\"867\" height=\"348\" srcset=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-Multiple-Elements-in-1D-Numpy-Array-by-its-Index-position.png 867w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-Multiple-Elements-in-1D-Numpy-Array-by-its-Index-position-300x120.png 300w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-Multiple-Elements-in-1D-Numpy-Array-by-its-Index-position-768x308.png 768w\" sizes=\"(max-width: 867px) 100vw, 867px\" \/><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">#Program : \r\n\r\nimport numpy as np \r\n#Numpy array \r\narr = np.array([10,20,30,40,50,60,70,80,90]) \r\n#deleting a=item at index 2,5,7 \r\narr = np.delete(arr, 2) \r\nprint('Modified Numpy Array after deleting element at index 2,5,7') \r\nprint(arr)<\/pre>\n<pre>Output :\r\nModified Numpy Array after deleting element at index  2,5,7\r\n[10 20 40 50 70 90]<\/pre>\n<h2><a id=\"Deleting_rows_&amp;_columns_from_a_2D_Numpy_Array\"><\/a>Deleting rows &amp; columns from a 2D Numpy Array<\/h2>\n<h3><a id=\"Delete_a_column_in_2D_Numpy_Array_by_its_column_number\"><\/a>Delete a column in 2D Numpy Array by its column number<\/h3>\n<p>if we want to delete a column from a 2D numpy array using np.delete() then we have to pass the axis=1 along with numpy array and index of column.<\/p>\n<p>Let&#8217;s see the implementation of it.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#program\r\n\r\nimport numpy as np\r\n\r\narr2d = np.array([[10,20,30],\r\n[40,50,60],\r\n[70,80,90]])\r\n#deleting elements at column 1\r\narr = np.delete(arr2d, 1, axis=1)\r\nprint('Modified Numpy Array by deleting element at index position 2,5,7')\r\nprint(arr)\r\n<\/pre>\n<pre>Output :\r\nModified Numpy Array by deleting element at index position 2,5,7\r\n[[10 30]\r\n[40 60]\r\n[70 90]]<\/pre>\n<h3><a id=\"Delete_multiple_columns_in_2D_Numpy_Array_by_its_column_number\"><\/a>Delete multiple columns in 2D Numpy Array by its column number<\/h3>\n<p>To delete multiple columns pass axis=1 and list of column numbers to be deleted along with numpy array to the function.<\/p>\n<p>Let&#8217;s see the implementation of it.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as np\r\n\r\narr2D = np.array([[11 ,12, 13, 11],\r\n                [21, 22, 23, 24],\r\n                [31, 32, 33, 34]])\r\narr2D = np.delete(arr2D, [2,3], axis=1)\r\nprint('Modified 2D Numpy Array by removing columns at index 2 and 3')\r\nprint(arr2D)\r\n<\/pre>\n<pre>Output :\r\nModified 2D Numpy Array by removing columns at index 2 and 3\r\n[[11 12]\r\n[21 22]\r\n[31 32]]<\/pre>\n<h3><a id=\"Delete_a_row_in_2D_Numpy_Array_by_its_row_number\"><\/a>Delete a row in 2D Numpy Array by its row number<\/h3>\n<p>To delete a row from a 2D numpy array using np.delete() we need to pass the axis=0 along with numpy array and the row index.<\/p>\n<p>Let&#8217;s see the implementation of it.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-18936\" src=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-a-row-in-2D-Numpy-Array-by-its-row-number.png\" alt=\"Python Program to Delete a row in 2D Numpy Array by its row number\" width=\"766\" height=\"312\" srcset=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-a-row-in-2D-Numpy-Array-by-its-row-number.png 766w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/04\/Python-Program-to-Delete-a-row-in-2D-Numpy-Array-by-its-row-number-300x122.png 300w\" sizes=\"(max-width: 766px) 100vw, 766px\" \/><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">#Program : \r\n\r\nimport numpy as np \r\narr2D = np.array([[11 ,12, 13, 11], [21, 22, 23, 24], [31, 32, 33, 34]]) \r\narr2D = np.delete(arr2D, 0, axis=0) \r\nprint('Modified 2D Numpy Array by removing rowss at index 0') \r\nprint(arr2D)<\/pre>\n<pre>Output :\r\nModified 2D Numpy Array by removing rowss at index 0\r\n[[21 22 23 24]\r\n[31 32 33 34]]<\/pre>\n<h3><a id=\"Delete_multiple_rows_in_2D_Numpy_Array_by_its_row_number\"><\/a>Delete multiple rows in 2D Numpy Array by its row number<\/h3>\n<p>To delete multiple rows pass axis=0 and list of row numbers to be deleted along with numpy array to np.delete()<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#Program :\r\n\r\nimport numpy as np\r\n\r\narr2D = np.array([[11 ,12, 13, 11],\r\n                [21, 22, 23, 24],\r\n                [31, 32, 33, 34]])\r\narr2D = np.delete(arr2D, [1, 2], axis=0)\r\nprint('Modified 2D Numpy Array by removing rows at index 1 and 2')\r\nprint(arr2D)\r\n<\/pre>\n<pre>Output :\r\nModified 2D Numpy Array by removing rows at index 1 and 2\r\n[[11 12 13 11]]<\/pre>\n<h3><a id=\"Delete_specific_elements_in_2D_Numpy_Array_by_its_index_position\"><\/a>Delete specific elements in 2D Numpy Array by its index position<\/h3>\n<p>When we don\u2019t mention axis value, the default value is none which means the array gets flattened. After that, we use <code>np.delete()<\/code> to delete elements from rows and columns. The function will return a flattened array without the deleted rows and column elements.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">#program :\r\n\r\nimport numpy as np\r\n\r\narr2D = np.array([[11 ,12, 13, 11],\r\n                [21, 22, 23, 24],\r\n                [31, 32, 33, 34]])\r\narr2D = np.delete(arr2D, 2)\r\nprint('Modified 2D Numpy Array by removing element at row 0 column 2')\r\nprint(arr2D)\r\n<\/pre>\n<pre>Output :\r\nModified 2D Numpy Array by removing element at row 0 column 2\r\n[11 12 11 21 22 23 24 31 32 33 34]<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we will discuss about how we can remove items\/rows\/columns from the Numpy array. We can remove elements from a NumPy array by index position using numpy.delete( ). Get to know the syntax of numpy.delete() function and learn about all its parameters with a clear explanation. Refer to the further modules to be &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/np-delete-remove-items-rows-columns-from-numpy-array\/\"> <span class=\"screen-reader-text\">np.delete(): Remove items\/rows\/columns from Numpy Array | How to Delete Rows\/Columns in a Numpy Array?<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"featured_media":18939,"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>np.delete(): Remove items\/rows\/columns from Numpy Array | How to Delete Rows\/Columns in a Numpy Array? - 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\/np-delete-remove-items-rows-columns-from-numpy-array\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"np.delete(): Remove items\/rows\/columns from Numpy Array | How to Delete Rows\/Columns in a Numpy Array? - Python Programs\" \/>\n<meta property=\"og:description\" content=\"In this tutorial, we will discuss about how we can remove items\/rows\/columns from the Numpy array. 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We can remove elements from a NumPy array by index position using numpy.delete( ). Get to know the syntax of numpy.delete() function and learn about all its parameters with a clear explanation. Refer to the further modules to be &hellip; np.delete(): Remove items\/rows\/columns from Numpy Array | How to Delete Rows\/Columns in a Numpy Array? 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