{"id":144629,"date":"2025-03-26T11:44:24","date_gmt":"2025-03-26T06:14:24","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144629"},"modified":"2025-03-26T11:44:24","modified_gmt":"2025-03-26T06:14:24","slug":"attributes-of-a-numpy-array","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/","title":{"rendered":"Attributes of a NumPy Array"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># ndim  , shape  , size , dtype , itemsize , nbyte \r\n# max() , min(),sum(),mean() ,any(),all(),where()\r\nimport numpy as np\r\n\r\n\r\n# any(),all(),where()\r\n\r\nar1=np.array([48,13,27,330,448,50,77,88,399,12]) # old price\r\nar2=np.array([45,13,27,330,448,50,77,88,399,12]) # new price\r\n\r\nar3=np.where(ar1%2==0,ar1,0)\r\nprint(\"ar1=\",ar1)\r\nprint(\"ar3=\",ar3)\r\n\r\n\r\n# #ar2=np.array([45,135,67,30,48,80,67,18,99,72]) #new price\r\n# print(ar1)\r\n# print(ar2)\r\n\r\n# ar3=(ar1==ar2)\r\n# if(np.all(ar3)):\r\n#    print(\"Same Price\")\r\n# else:\r\n#    print(\" No same Price\")\r\n      \r\n# ar3=(ar1==ar2)\r\n# print(ar3)\r\n# if(np.any(ar3)):\r\n#   print(\"Some prices are same\")\r\n# else:\r\n#   print(\"No Prices are Same\")\r\n\r\n# print(\"Maximum : \",ar1.max())\r\n# print(\"Minimum : \",ar1.min())\r\n# print(\"Total : \",ar1.sum())\r\n# print(\"Mean : \",ar1.mean())\r\n\r\n# ar0=np.array(500)\r\n# ar1=np.array([5,13,27,30,48,50,77,88,99,12])\r\n# ar2=np.array([[5,13,27,],[45,15,27,]])\r\n# ar3=np.array([[[5,10,20],[30,40,50]],[[5,10,20],[30,40,50]]])\r\n\r\n# ar4=np.array([12.4,33.4,55.6,77.8,88.9,89.9])\r\n# print(ar1.nbytes)\r\n\r\n# print(ar1.itemsize)\r\n# print(ar1.size)\r\n# print(ar1.dtype)\r\n# print(ar4.dtype)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n#size \r\n#print(ar3.size)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# # shape\r\n# print(ar0.shape)\r\n# print(ar0)\r\n# print(\"---------------------------\")\r\n# print(ar1.shape)\r\n# print(ar1)\r\n# print(\"---------------------------\")\r\n# print(ar2.shape)\r\n# print(ar2)\r\n# print(\"---------------------------\")\r\n\r\n# print(ar3.shape)\r\n# print(ar3)\r\n\r\n\r\n#ndim\r\n# print(ar0.ndim)  # 0\r\n# print(ar1.ndim)  #  1\r\n# print(ar2.ndim)  # 2\r\n# print(ar3.ndim) # 3<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # ndim , shape , size , dtype , itemsize , nbyte # max() , min(),sum(),mean() ,any(),all(),where() import numpy as np # any(),all(),where() ar1=np.array([48,13,27,330,448,50,77,88,399,12]) # old price ar2=np.array([45,13,27,330,448,50,77,88,399,12]) # new price ar3=np.where(ar1%2==0,ar1,0)&#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":[31790,31789,9170,31788,31785,31784,33901,9175],"class_list":["post-144629","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-array-attributes","tag-attributes-of-numpy-array","tag-numpy","tag-numpy-array-attributes","tag-numpy-practical","tag-numpy-program","tag-numpy-program-on-array-attributes","tag-numpy-tutorial"],"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\/attributes-of-a-numpy-array\/","og_locale":"en_US","og_type":"article","og_title":"Attributes of a NumPy Array - DataFlair","og_description":"Program 1 # ndim , shape , size , dtype , itemsize , nbyte # max() , min(),sum(),mean() ,any(),all(),where() import numpy as np # any(),all(),where() ar1=np.array([48,13,27,330,448,50,77,88,399,12]) # old price ar2=np.array([45,13,27,330,448,50,77,88,399,12]) # new price ar3=np.where(ar1%2==0,ar1,0)&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-03-26T06:14:24+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\/attributes-of-a-numpy-array\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Attributes of a NumPy Array","datePublished":"2025-03-26T06:14:24+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["array attributes","attributes of numpy array","Numpy","numpy array attributes","numpy practical","numpy program","numpy program on array attributes","NumPy Tutorial"],"articleSection":["NumPy Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/","url":"https:\/\/data-flair.training\/blogs\/attributes-of-a-numpy-array\/","name":"Attributes of a NumPy Array - 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