{"id":136002,"date":"2024-05-06T10:47:19","date_gmt":"2024-05-06T05:17:19","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=136002"},"modified":"2024-05-06T10:47:19","modified_gmt":"2024-05-06T05:17:19","slug":"arithmetic-operations-on-numpy-arrays","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/","title":{"rendered":"Arithmetic Operations on NumPy Arrays"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import numpy as np\r\nar1=np.array([[10,15,30],[30,45,50],[60,76,80]])\r\nar2=np.array([[1,2,3],[4,5,6],[7,8,9]])\r\nprint(ar1)\r\nprint(ar1.shape)\r\nprint(\"------------------------\")\r\nprint(ar2)\r\nprint(ar2.shape)\r\nprint(ar1+ar2)\r\nprint(ar1-ar2)\r\nprint(ar1\/ar2)\r\nprint(ar1\/\/ar2)\r\nprint(ar1%10)\r\n\r\n# ar3=np.add(ar1,ar2)\r\n# print(ar3)\r\n# ar3=np.subtract(ar1,ar2)\r\n# print(ar3)\r\n# ar3=np.multiply(ar1,ar2)\r\n# print(ar3)\r\n# ar3=np.divide(ar1,ar2)\r\n# print(ar3)\r\n# ar3=np.mod(ar1,10)\r\n# print(ar3)\r\n# ar4=np.array([0.5,0.8,0.6])\r\n# ar3=np.reciprocal(ar4)\r\n# print(ar3)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import numpy as np ar1=np.array([[10,15,30],[30,45,50],[60,76,80]]) ar2=np.array([[1,2,3],[4,5,6],[7,8,9]]) print(ar1) print(ar1.shape) print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8220;) print(ar2) print(ar2.shape) print(ar1+ar2) print(ar1-ar2) print(ar1\/ar2) print(ar1\/\/ar2) print(ar1%10) # ar3=np.add(ar1,ar2) # print(ar3) # ar3=np.subtract(ar1,ar2) # print(ar3) # ar3=np.multiply(ar1,ar2) # print(ar3) # ar3=np.divide(ar1,ar2) # print(ar3)&#46;&#46;&#46;<\/p>\n","protected":false},"author":86671,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22401],"tags":[31809,31808,31807,31806,9170,31785,31784],"class_list":["post-136002","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-arithmetic-operations","tag-arithmetic-operations-on-array","tag-arithmetic-operations-on-numpy","tag-arithmetic-operations-on-numpy-array","tag-numpy","tag-numpy-practical","tag-numpy-program"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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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\/arithmetic-operations-on-numpy-arrays\/","og_locale":"en_US","og_type":"article","og_title":"Arithmetic Operations on NumPy Arrays - DataFlair","og_description":"Program 1 import numpy as np ar1=np.array([[10,15,30],[30,45,50],[60,76,80]]) ar2=np.array([[1,2,3],[4,5,6],[7,8,9]]) print(ar1) print(ar1.shape) print(\"------------------------\") print(ar2) print(ar2.shape) print(ar1+ar2) print(ar1-ar2) print(ar1\/ar2) print(ar1\/\/ar2) print(ar1%10) # ar3=np.add(ar1,ar2) # print(ar3) # ar3=np.subtract(ar1,ar2) # print(ar3) # ar3=np.multiply(ar1,ar2) # print(ar3) # ar3=np.divide(ar1,ar2) # print(ar3)&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-05-06T05:17:19+00:00","author":"TechVidvan Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"TechVidvan Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/"},"author":{"name":"TechVidvan Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/0e594f928e31fc96628ac40f6ae74f49"},"headline":"Arithmetic Operations on NumPy Arrays","datePublished":"2024-05-06T05:17:19+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["arithmetic operations","arithmetic operations on array","arithmetic operations on numpy","arithmetic operations on numpy array","Numpy","numpy practical","numpy program"],"articleSection":["NumPy Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/","url":"https:\/\/data-flair.training\/blogs\/arithmetic-operations-on-numpy-arrays\/","name":"Arithmetic Operations on NumPy Arrays - 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