{"id":145050,"date":"2025-05-12T12:14:19","date_gmt":"2025-05-12T06:44:19","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145050"},"modified":"2025-05-12T12:14:19","modified_gmt":"2025-05-12T06:44:19","slug":"numpy-array-iterating","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/numpy-array-iterating\/","title":{"rendered":"NumPy Array Iterating"},"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\n\r\n# myar=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\n# print(myar)\r\n# for indx , m in np.ndenumerate(myar):\r\n#     print(indx,m)\r\n\r\n# myar=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\n# print(myar)\r\n# for n in np.nditer(myar[:, ::3]):\r\n#   print(n)\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n# myar=np.array([10,20,30,40,50,60,70,80,90,100])\r\n# for indx , m in np.ndenumerate(myar):\r\n#     print(indx,\":\",m)\r\n\r\n# for i in range(0,myar.size):\r\n#     print(i,\":\",myar[i])\r\n\r\n#ar3=np.array([[[5,10,20],[30,40,50]],[[2,7,9],[6,45,89]]])\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# for m in np.nditer(ar3):\r\n#     print(m)\r\n\r\n# print(ar3.shape)\r\n# for m in ar3:\r\n#     print(m)\r\n    \r\n#myar=np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\r\n# for m in myar:\r\n#     for n in m:\r\n#         print(n)\r\n# print(myar)\r\n# print(myar.shape)\r\n#count=0\r\n# even=0\r\n# for m in myar:\r\n#     print(m)\r\n#     count=count+1\r\n# print(\"Total rows: \",count)    \r\n\r\n# print(\"------------------------------------------\")\r\n# for m in np.nditer(myar):\r\n#     print(m)\r\n#     if(m%2==0):\r\n#         even+=1\r\n# print(\"Total even: \",even)        \r\n\r\n\r\n#myar=np.array([1,2,3,4,5,6,7,8,9,10])\r\n# for m in myar:\r\n#     print(m)\r\n# for m in np.nditer(myar,flags=['buffered'],op_dtypes='S'):\r\n#     print(m)\r\n\r\n# print(myar)<\/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":[34196,9170,33922,34195,31785,31784,34197],"class_list":["post-145050","post","type-post","status-publish","format-standard","hentry","category-numpy","tag-how-to-apply-iterator-in-numpy","tag-numpy","tag-numpy-array-iterating","tag-numpy-array-iterator","tag-numpy-practical","tag-numpy-program","tag-numpy-program-on-iterator"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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