{"id":144129,"date":"2025-02-10T12:14:19","date_gmt":"2025-02-10T06:44:19","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144129"},"modified":"2025-02-10T12:14:53","modified_gmt":"2025-02-10T06:44:53","slug":"numpy-array-function-in-python","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/","title":{"rendered":"NumPy Array Function in Python"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Functions of Numpy \r\nimport numpy as np\r\nmyar1=np.array([90,-45,60,-45,23,-55])\r\nresult=np.abs(myar1)\r\nprint(myar1)\r\nprint(result)\r\n# result=np.tan(myar1)\r\n# print(myar1)\r\n# print(result)\r\n\r\n# myar2=np.array([\"Indore\",\"Pune\",\"Delhi\",\"Mumbai\"])\r\n\r\n# myar3=np.concat(myar1,myar2)\r\n# print(myar3)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# myar=np.array([10,5,55,2,10,55,37,5,45,55,24],int)\r\n# result=np.unique(myar)\r\n# print(myar)\r\n# print(\"------------------------------------------------\")\r\n# print(result)\r\n# m=np.max(myar)\r\n# p=np.argmax(myar)\r\n# print(\"Max element is : \",m)\r\n# print(\"Position of max element is : \",p)\r\n\r\n# m=np.min(myar)\r\n# p=np.argmin(myar)\r\n# print(\"Min element is : \",m)\r\n# print(\"Position of min element is : \",p)\r\n\r\n\r\n\r\n\r\n# s=np.sum(myar)\r\n# p=np.prod(myar)\r\n# print(myar)\r\n# print(\"sum :\",s)\r\n# print(\"product :\",p)\r\n\r\n# result=np.sqrt(myar)\r\n# print(myar)\r\n# print(result)\r\n# n=int(input(\"Enter a number\"))\r\n# result=np.power(myar,n)\r\n# print(result)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Functions of Numpy import numpy as np myar1=np.array([90,-45,60,-45,23,-55]) result=np.abs(myar1) print(myar1) print(result) # result=np.tan(myar1) # print(myar1) # print(result) # myar2=np.array([&#8220;Indore&#8221;,&#8221;Pune&#8221;,&#8221;Delhi&#8221;,&#8221;Mumbai&#8221;]) # myar3=np.concat(myar1,myar2) # print(myar3) # myar=np.array([10,5,55,2,10,55,37,5,45,55,24],int) # result=np.unique(myar) # print(myar) # print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8220;)&#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":[46],"tags":[31796,33673,33676,33675,10333,33672,33674,28626,22366],"class_list":["post-144129","post","type-post","status-publish","format-standard","hentry","category-python","tag-numpy-array-functions","tag-numpy-array-functions-in-python","tag-numpy-function-for-array","tag-numpy-functions","tag-python","tag-python-numpy-array-functions","tag-python-numpy-functions","tag-python-practical","tag-python-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\/numpy-array-function-in-python\/","og_locale":"en_US","og_type":"article","og_title":"NumPy Array Function in Python - DataFlair","og_description":"Program 1 # Functions of Numpy import numpy as np myar1=np.array([90,-45,60,-45,23,-55]) result=np.abs(myar1) print(myar1) print(result) # result=np.tan(myar1) # print(myar1) # print(result) # myar2=np.array([\"Indore\",\"Pune\",\"Delhi\",\"Mumbai\"]) # myar3=np.concat(myar1,myar2) # print(myar3) # myar=np.array([10,5,55,2,10,55,37,5,45,55,24],int) # result=np.unique(myar) # print(myar) # print(\"------------------------------------------------\")&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-02-10T06:44:19+00:00","article_modified_time":"2025-02-10T06:44:53+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-array-function-in-python\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"NumPy Array Function in Python","datePublished":"2025-02-10T06:44:19+00:00","dateModified":"2025-02-10T06:44:53+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["numpy array functions","numpy array functions in python","numpy function for array","numpy functions","Python","python numpy array functions","python numpy functions","python practical","python program"],"articleSection":["Python Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/","url":"https:\/\/data-flair.training\/blogs\/numpy-array-function-in-python\/","name":"NumPy Array Function in Python - 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