{"id":144693,"date":"2025-03-31T11:49:39","date_gmt":"2025-03-31T06:19:39","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144693"},"modified":"2025-03-31T11:49:39","modified_gmt":"2025-03-31T06:19:39","slug":"numpy-splitting-array","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/","title":{"rendered":"NumPy Splitting Array"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import numpy as np\r\n#split() ,array_split(),hsplit(),vsplit()\r\n\r\nar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\nnewar=np.vsplit(ar1,2)\r\nprint(ar1)\r\nprint(\"----------------------------------------\")\r\nprint(newar)\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# hsplit()\r\n# ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\n# print(ar1)\r\n# print(\"--------------------------------------------------\")\r\n# newar=np.hsplit(ar1,3)\r\n# print(newar)\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# ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\n# print(ar1)\r\n# print(ar1.shape)\r\n# print(\"--------------------------------------------------\")\r\n# ar2=print(np.array_split(ar1,2,axis=0))  # ar2 is ab object of list  0-Row 1 -Col\r\n# ar2=np.array(ar2)\r\n# print(ar2)\r\n\r\n\r\n\r\n\r\n#print(ar2.shape)\r\n# ar=np.array([10,20,30,40,50,60])\r\n# print(ar)\r\n# print(ar.shape)\r\n# print(\"-----------------------------\")\r\n# #newar=np.split(ar,4)\r\n# newar=np.array_split(ar,4)\r\n# print(newar)\r\n# newar=np.array(newar)\r\n\r\n# #print(newar.shape)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import numpy as np #split() ,array_split(),hsplit(),vsplit() ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) newar=np.vsplit(ar1,2) print(ar1) print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#8220;) print(newar) # hsplit() # ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) # print(ar1) # print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;&#8220;) # newar=np.hsplit(ar1,3) # print(newar) # ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) # print(ar1) # print(ar1.shape) # print(&#8220;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;&#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":[22401],"tags":[9170,31785,31784,33932,33930,9175,33931],"class_list":["post-144693","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-numpy","tag-numpy-practical","tag-numpy-program","tag-numpy-program-on-splitting-array","tag-numpy-splitting-array","tag-numpy-tutorial","tag-splitting-array-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-splitting-array\/","og_locale":"en_US","og_type":"article","og_title":"NumPy Splitting Array - DataFlair","og_description":"Program 1 import numpy as np #split() ,array_split(),hsplit(),vsplit() ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) newar=np.vsplit(ar1,2) print(ar1) print(\"----------------------------------------\") print(newar) # hsplit() # ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) # print(ar1) # print(\"--------------------------------------------------\") # newar=np.hsplit(ar1,3) # print(newar) # ar1=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]]) # print(ar1) # print(ar1.shape) # print(\"--------------------------------------------------\") #&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-03-31T06:19:39+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-splitting-array\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"NumPy Splitting Array","datePublished":"2025-03-31T06:19:39+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/"},"wordCount":5,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["Numpy","numpy practical","numpy program","numpy program on splitting array","numpy splitting array","NumPy Tutorial","splitting array in numpy"],"articleSection":["NumPy Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/","url":"https:\/\/data-flair.training\/blogs\/numpy-splitting-array\/","name":"NumPy Splitting Array - 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