{"id":144652,"date":"2025-03-28T12:04:46","date_gmt":"2025-03-28T06:34:46","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144652"},"modified":"2025-03-28T12:04:46","modified_gmt":"2025-03-28T06:34:46","slug":"numpy-iterating-over-array","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-iterating-over-array\/","title":{"rendered":"NumPy Iterating Over Array"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># how to Iterating Numpy Arrays\r\n# 1D Array , 2D Array , 3D Array \r\n# nditer()\r\n# How to iterating Numpy array with different data types\r\n#How to iterating with different step size\r\n#ndenumerate()\r\nimport numpy as np\r\nar3=np.array([[[5,10,20],[30,40,50]],[[2,7,9],[6,45,89]]])\r\n\r\nprint(ar3)\r\nprint(\"---------------------------------------\")\r\nfor indx, n in np.ndenumerate(ar3):\r\n   print(indx, n)\r\n\r\n# ar=np.array([[10,20,30],[40,50,60],[70,80,90]])\r\n# print(ar)\r\n# print(\"------------------------------\")\r\n# for indx, n in np.ndenumerate(ar):\r\n#   print(indx, n)\r\n\r\n# for i in range(0,ar.size):\r\n#     print(i , \": \" , ar[i])    \r\n\r\n# ar=np.array([[1,2,3],[4,5,6],[7,8,9]])\r\n# print(ar)\r\n# for n in np.nditer(ar[:, ::2]):\r\n#   print(n)\r\n\r\n# for x in np.nditer(ar,flags=['buffered'],op_dtypes='S'):\r\n#     print(x)\r\n\r\n\r\n#ar3=np.array([[[5,10,20],[30,40,50]],[[2,7,9],[6,45,89]]])\r\n# print(ar3)\r\n# print(ar3.shape)\r\n\r\n# for x in  ar3:\r\n#     print(x)\r\n\r\n# for  x in ar3:\r\n#     for y in x:\r\n#         for z in y:\r\n#             print(z)\r\n\r\n\r\n# ar=np.array([[10,20,30],[40,50,60],[70,80,90]])\r\n\r\n# for m in ar:  \r\n#     for n in m:\r\n#         print(n)\r\n\r\n\r\n# ar=np.array([10,20,30,40,50,60,70,80,90,100])\r\n# for m in ar:\r\n#     print(m)<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # how to Iterating Numpy Arrays # 1D Array , 2D Array , 3D Array # nditer() # How to iterating Numpy array with different data types #How to iterating with different&#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":[33924,9170,33922,33923,31785,31784,9175],"class_list":["post-144652","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-array-iterating-in-numpy","tag-numpy","tag-numpy-array-iterating","tag-numpy-iterating-over-array","tag-numpy-practical","tag-numpy-program","tag-numpy-tutorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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