{"id":145052,"date":"2025-05-12T12:24:56","date_gmt":"2025-05-12T06:54:56","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145052"},"modified":"2025-05-12T12:24:56","modified_gmt":"2025-05-12T06:54:56","slug":"numpy-universal-functions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/","title":{"rendered":"NumPy Universal Functions"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Universal Functions in Numpy\r\n\r\n#Universal Functions  are NumPy functions that we use on the ndarray object.\r\n# Its also know as ufuncs\r\nimport numpy as np\r\nar1=[1,2,3,4,5]\r\nar2=[10,20,30,40,50]\r\nar3=[1,1,1,1,1]\r\n# print(ar1)\r\n# print(np.cumprod(ar1))\r\nprint(np.cumprod([ar1,ar2,ar3],axis=1))\r\n\r\n\r\n#print(np.prod([ar1])) # 1*2*3*4*5\r\n#print(np.prod([ar1,ar2])) # 1*2*3*4*5\r\n#print(np.prod([ar1,ar2,ar3],axis=1)) \r\n\r\n# print(ar1)\r\n# print(ar2)\r\n# print(np.cumsum([ar1,ar2],axis=1))\r\n# print(ar1)\r\n# print(np.cumsum(ar1)) # [1,3,]\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#print(np.add(ar1,ar2))\r\n#print(np.sum(ar1)) # 1+2+3+4+5\r\n# print(np.sum([ar1,ar2])) # 1+2+3+4+5+10+20+30+40+50\r\n# print(np.sum([ar1,ar2,ar3],axis=1)) \r\n# def testadd(x,y):\r\n#     return(x+y)\r\n\r\n# testadd=np.frompyfunc(testadd,2,1)\r\n# print(testadd(ar1,ar2))\r\n# print(type(testadd))\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# ar3=np.add(ar1,ar2)\r\n# print(type(ar3))\r\n# print(type(np.add))\r\n# print(type(np.concatenate))\r\n\r\n# print(ar1)\r\n# print(ar2)\r\n# print(\"-----------------------\")\r\n# c=np.add(ar1,ar2)\r\n# print(\"Addition\")\r\n# print(c)\r\n# c=np.multiply(ar1,ar2)\r\n# print(\"Multiplication\")\r\n# print(c)\r\n# c=np.subtract(ar1,ar2)\r\n# print(\"subtraction\")\r\n# print(c)\r\n# c=np.divide(ar1,ar2)\r\n# print(\"Divide\")\r\n# print(c)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#print(type(np.add))\r\n# ar3=np.add(ar1,ar2)\r\n# print(ar3)\r\n\r\n\r\n# ar3=[]\r\n# for i,j in zip(ar1,ar2):\r\n#     ar3.append(i+j)\r\n\r\n# print(ar3)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Universal Functions in Numpy #Universal Functions are NumPy functions that we use on the ndarray object. # Its also know as ufuncs import numpy as np ar1=[1,2,3,4,5] ar2=[10,20,30,40,50] ar3=[1,1,1,1,1] # print(ar1)&#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":[9170,31785,31784,33949,33948,33950,33947],"class_list":["post-145052","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-numpy","tag-numpy-practical","tag-numpy-program","tag-numpy-program-on-universal-functions","tag-numpy-universal-functions","tag-universal-functions","tag-universal-functions-in-numpy"],"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\/numpy-universal-functions\/","og_locale":"en_US","og_type":"article","og_title":"NumPy Universal Functions - DataFlair","og_description":"Program 1 # Universal Functions in Numpy #Universal Functions are NumPy functions that we use on the ndarray object. # Its also know as ufuncs import numpy as np ar1=[1,2,3,4,5] ar2=[10,20,30,40,50] ar3=[1,1,1,1,1] # print(ar1)&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-05-12T06:54:56+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-universal-functions\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"NumPy Universal Functions","datePublished":"2025-05-12T06:54:56+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/"},"wordCount":5,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["Numpy","numpy practical","numpy program","numpy program on universal functions","numpy universal functions","universal functions","universal functions in numpy"],"articleSection":["NumPy Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/","url":"https:\/\/data-flair.training\/blogs\/numpy-universal-functions\/","name":"NumPy Universal Functions - 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