{"id":4202,"date":"2023-07-12T21:32:52","date_gmt":"2023-07-12T21:32:52","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%85%d8%ae%d8%b7%d8%b7-%d8%aa%d9%88%d8%b2%d9%8a%d8%b9-matplotlib\/"},"modified":"2023-07-12T21:32:52","modified_gmt":"2023-07-12T21:32:52","slug":"%d9%85%d8%ae%d8%b7%d8%b7-%d8%aa%d9%88%d8%b2%d9%8a%d8%b9-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%85%d8%ae%d8%b7%d8%b7-%d8%aa%d9%88%d8%b2%d9%8a%d8%b9-matplotlib\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0624\u0627\u0645\u0631\u0629 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0641\u064a matplotlib"},"content":{"rendered":"

<\/p>\n

\n

\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0634\u0627\u0626\u0639\u062a\u0627\u0646 \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib<\/strong><\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. hist<\/span> (data, color=' lightgreen<\/span> ', ec=' black<\/span> ', bins= 15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0644\u0648\u0646<\/strong> \u064a\u062a\u062d\u0643\u0645 \u0641\u064a \u0644\u0648\u0646 \u062a\u0639\u0628\u0626\u0629 \u0627\u0644\u0623\u0634\u0631\u0637\u0629\u060c \u0648\u064a\u062a\u062d\u0643\u0645 ec<\/strong> \u0641\u064a \u0644\u0648\u0646 \u062d\u0648\u0627\u0641 \u0627\u0644\u0634\u0631\u064a\u0637\u060c \u0648\u062a\u062a\u062d\u0643\u0645 \u0627\u0644\u062d\u0627\u0648\u064a\u0627\u062a<\/strong> \u0641\u064a \u0639\u062f\u062f \u0627\u0644\u0635\u0646\u0627\u062f\u064a\u0642 \u0641\u064a \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a.<\/span><\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Seaborn<\/strong><\/span><\/p>\n
 import<\/span> seaborn as<\/span> sns\nsns. displot<\/span> (data, kde= True<\/span> , bins= 15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 kde=True<\/strong> \u064a\u062d\u062f\u062f \u0623\u0646\u0647 \u064a\u062c\u0628 \u062a\u0631\u0643\u064a\u0628 \u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0639\u0644\u0649 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a.<\/span><\/span><\/p>\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 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0639\u0645\u0644\u064a\u064b\u0627 \u0644\u062a\u0635\u0648\u0631 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 NumPy \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#make this example reproducible.\n<\/span>n.p. random<\/span> . seed<\/span> ( 1<\/span> )\n\n#create numpy array with 1000 values that follows normal dist with mean=10 and sd=2\n<\/span>data = np. random<\/span> . normal<\/span> (size= 1000<\/span> , loc= 10<\/span> , scale= 2<\/span> )\n\n#view first five values\n<\/span>data[: 5<\/span> ]\n\narray([13.24869073, 8.77648717, 8.9436565, 7.85406276, 11.73081526])\n<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib<\/strong><\/span><\/h2>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0641\u064a Matplotlib \u0644\u062a\u0635\u0648\u0631 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a \u0645\u0635\u0641\u0648\u0641\u0629 NumPy:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create histogram\n<\/span>plt. hist<\/span> (data, color=' lightgreen<\/span> ', ec=' black<\/span> ', bins= 15<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u064a\u0639\u0631\u0636 \u0627\u0644\u0645\u062d\u0648\u0631 x \u0627\u0644\u0642\u064a\u0645 \u0645\u0646 \u0645\u0635\u0641\u0648\u0641\u0629 NumPy \u0648\u064a\u0639\u0631\u0636 \u0627\u0644\u0645\u062d\u0648\u0631 y \u062a\u0643\u0631\u0627\u0631 \u0647\u0630\u0647 \u0627\u0644\u0642\u064a\u0645.<\/span><\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u0643\u0644\u0645\u0627 \u0632\u0627\u062f\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645\u0647\u0627 \u0644\u0648\u0633\u064a\u0637\u0629 bins<\/strong> \u060c \u0632\u0627\u062f \u0639\u062f\u062f \u0627\u0644\u0623\u0634\u0631\u0637\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 2: \u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Seaborn<\/strong><\/span><\/h2>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0645\u0639 \u0645\u0646\u062d\u0646\u0649 \u0643\u062b\u0627\u0641\u0629<\/a> \u0645\u062a\u0631\u0627\u0643\u0628 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0643\u062a\u0628\u0629 \u062a\u0635\u0648\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u062d\u0631\u064a\u0629:<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n<\/span>\n#create histogram with density curve overlaid\n<\/span>sns. displot<\/span> (data, kde= True<\/span> , bins= 15<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0648\u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0647\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u064a\u062a\u0645 \u0641\u064a\u0647 \u0641\u0631\u0636 \u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u0643\u062b\u0627\u0641\u0629.<\/span><\/p>\n
 \u062a\u062a\u0645\u062b\u0644 \u0645\u064a\u0632\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0641\u064a \u0623\u0646\u0647 \u064a\u0644\u062e\u0635 \u0634\u0643\u0644 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0646\u062d\u0646\u0649 \u0648\u0627\u062d\u062f \u0645\u0633\u062a\u0645\u0631.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\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 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637\u0627\u062a \u0634\u0627\u0626\u0639\u0629 \u0623\u062e\u0631\u0649 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637\u0627\u062a \u0634\u0631\u064a\u0637\u064a\u0629 \u0645\u0643\u062f\u0633\u0629 \u0641\u064a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0644\u0644\u062a\u0631\u062f\u062f \u0627\u0644\u0646\u0633\u0628\u064a \u0641\u064a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0628\u0627\u0631\u0628\u0644\u0648\u062a \u0623\u0641\u0642\u064a \u0641\u064a \u0633\u064a\u0628\u0648\u0631\u0646<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0634\u0627\u0626\u0639\u062a\u0627\u0646 \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0646\u0634\u0627\u0621 \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib import matplotlib. pyplot as plt plt. hist (data, color=’ lightgreen ‘, ec=’ black ‘, bins= 15 ) \u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0644\u0648\u0646 \u064a\u062a\u062d\u0643\u0645 \u0641\u064a \u0644\u0648\u0646 \u062a\u0639\u0628\u0626\u0629 \u0627\u0644\u0623\u0634\u0631\u0637\u0629\u060c \u0648\u064a\u062a\u062d\u0643\u0645 ec \u0641\u064a \u0644\u0648\u0646 \u062d\u0648\u0627\u0641 \u0627\u0644\u0634\u0631\u064a\u0637\u060c \u0648\u062a\u062a\u062d\u0643\u0645 \u0627\u0644\u062d\u0627\u0648\u064a\u0627\u062a \u0641\u064a \u0639\u062f\u062f \u0627\u0644\u0635\u0646\u0627\u062f\u064a\u0642 \u0641\u064a \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a. \u0627\u0644\u0637\u0631\u064a\u0642\u0629 […]<\/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\u0646\u0634\u0627\u0621 \u0645\u0624\u0627\u0645\u0631\u0629 \u0627\u0644\u062a\u0648\u0632\u064a\u0639 \u0641\u064a Matplotlib - 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 \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 \u0644\u0648\u0638\u064a\u0641\u0629 seaborn displot()<\/strong> \u0647\u0646\u0627<\/a> .<\/span><\/span><\/p>\n