{"id":2334,"date":"2023-07-22T17:32:44","date_gmt":"2023-07-22T17:32:44","guid":{"rendered":"https:\/\/statorials.org\/ar\/numpy-%d8%a7%d9%95%d8%b6%d8%a7%d9%81%d8%a9-%d8%b5%d9%81-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9\/"},"modified":"2023-07-22T17:32:44","modified_gmt":"2023-07-22T17:32:44","slug":"numpy-%d8%a7%d9%95%d8%b6%d8%a7%d9%81%d8%a9-%d8%b5%d9%81-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/numpy-%d8%a7%d9%95%d8%b6%d8%a7%d9%81%d8%a9-%d8%b5%d9%81-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d9%85%d8%b5%d9%81%d9%88%d9%81%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a numpy (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a NumPy:<\/span><\/p>\n

 #add new_row to current_matrix<\/span>\ncurrent_matrix = np. vstack<\/span> ([current_matrix, new_row])\n<\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u0641\u0642\u0637 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u0648\u0641\u064a \u0634\u0631\u0637\u064b\u0627 \u0645\u0639\u064a\u0646\u064b\u0627:<\/span><\/p>\n
 #only add rows where first element is less than 10<\/span>\ncurrent_matrix = np. vstack<\/span> ((current_matrix, new_rows[new_rows[:,0] < 10<\/span> ]))<\/strong><\/pre>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 1: \u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a NumPy<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u062c\u062f\u064a\u062f \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a NumPy:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define matrix\n<\/span>current_matrix = np. array<\/span> ([[1,2,3], [4, 5, 6], [7, 8, 9]])\n\n#define row to add\n<\/span>new_row = np. array<\/span> ([10, 11, 12])\n\n#add new row to matrix\n<\/span>current_matrix = np. vstack<\/span> ([current_matrix, new_row])\n\n#view updated matrix\n<\/span>current_matrix\n\narray([[ 1, 2, 3],\n       [4,5,6],\n       [7, 8, 9],\n       [10, 11, 12]])\n<\/strong><\/span><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645\u062a \u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0635\u0641 \u0627\u0644\u0623\u062e\u064a\u0631 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0628\u0646\u062c\u0627\u062d.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0627\u0644\u0634\u0631\u0637<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u062c\u062f\u064a\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0645\u0648\u062c\u0648\u062f\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0634\u0631\u0637 \u0645\u062d\u062f\u062f:<\/span><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define matrix\n<\/span>current_matrix = np. array<\/span> ([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n\n#define potential new rows to add\n<\/span>new_rows = np. array<\/span> ([[6, 8, 10], [8, 10, 12], [10, 12, 14]])\n\n#only add rows where first element in row is less than 10\n<\/span>current_matrix = np. vstack<\/span> ((current_matrix, new_rows[new_rows[:,0] < 10<\/span> ]))\n\n#view updated matrix\n<\/span>current_matrix\n\narray([[ 1, 2, 3],\n       [4,5,6],\n       [7, 8, 9],\n       [6, 8, 10],\n       [8, 10, 12]])\n<\/span><\/span><\/strong><\/pre>\n
 \u062a\u0645\u062a \u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u0643\u0627\u0646 \u0639\u0646\u0635\u0631\u0647\u0627 \u0627\u0644\u0623\u0648\u0644 \u0623\u0642\u0644 \u0645\u0646 10 \u0641\u0642\u0637.<\/span><\/p>\n
 \u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a \u0644\u0648\u0638\u064a\u0641\u0629 vstack()<\/strong> \u0647\u0646\u0627<\/a> .<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0639\u0645\u0644\u064a\u0627\u062a \u0634\u0627\u0626\u0639\u0629 \u0623\u062e\u0631\u0649 \u0641\u064a NumPy:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0641\u0647\u0631\u0633 \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 NumPy<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0645\u062c\u0645\u0648\u0639\u0629 Numpy \u0625\u0644\u0649 Pandas DataFrame<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 NumPy \u0625\u0644\u0649 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a NumPy: #add new_row to current_matrix current_matrix = np. vstack ([current_matrix, new_row]) \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u0641\u0642\u0637 \u0625\u0644\u0649 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u0648\u0641\u064a \u0634\u0631\u0637\u064b\u0627 \u0645\u0639\u064a\u0646\u064b\u0627: #only add rows where first element is less than 10 current_matrix = np. vstack ((current_matrix, new_rows[new_rows[:,0] < 10 ])) […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a NumPy (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - 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