{"id":1214,"date":"2023-07-27T06:29:39","date_gmt":"2023-07-27T06:29:39","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%ac%d8%af%d9%88%d9%84-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/"},"modified":"2023-07-27T06:29:39","modified_gmt":"2023-07-27T06:29:39","slug":"%d8%ac%d8%af%d9%88%d9%84-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%ac%d8%af%d9%88%d9%84-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 matplotlib"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0627\u0644\u062a\u0627\u0644\u064a\u062a\u064a\u0646 \u0644\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u062c\u062f\u0627\u0648\u0644 \u0641\u064a Python \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0645\u0646 \u0645\u0644\u0641 pandas DataFrame<\/strong><\/span><\/p>\n

 #create pandas DataFrame\n<\/span>df = pd.DataFrame(np. random<\/span> . randn<\/span> (20, 2), columns=[' First<\/span> ', ' Second<\/span> '])\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=df. values<\/span> , colLabels=df. columns<\/span> , loc=' center<\/span> ')\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0646\u0634\u0627\u0621 \u0635\u0641\u064a\u0641 \u0645\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062e\u0635\u0635\u0629<\/strong><\/span><\/p>\n
 #create values for table\n<\/span>table_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=table_data, loc=' center<\/span> ')<\/strong><\/pre>\n
 \u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0623\u0645\u062b\u0644\u0629 \u0639\u0644\u0649 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0623\u0633\u0627\u0644\u064a\u0628 \u0641\u064a \u0627\u0644\u0645\u0645\u0627\u0631\u0633\u0629 \u0627\u0644\u0639\u0645\u0644\u064a\u0629.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0645\u0646 \u0645\u0644\u0641 pandas DataFrame<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0641\u064a Matplotlib \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0642\u064a\u0645 pandas DataFrame:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib.pyplot as<\/span> plt\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seeds<\/span> (0)\n\n#define figure and axes\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#hide the axes\n<\/span>fig.patch. set_visible<\/span> (False)\nax.axis(' off<\/span> ')\nax.axis(' tight<\/span> ')\n\n#createdata\n<\/span>df = pd.DataFrame(np. random<\/span> . randn<\/span> (20, 2), columns=[' First<\/span> ', ' Second<\/span> '])\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=df.values, colLabels=df.columns, loc=' center<\/span> ')\n\n#display table\n<\/span>fig. tight_layout<\/span> ()\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u062c\u062f\u0648\u0644<\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0645\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062e\u0635\u0635\u0629<\/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\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0641\u064a Matplotlib \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0642\u064a\u0645 \u0645\u062e\u0635\u0635\u0629:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib.pyplot as<\/span> plt \n\n#define figure and axes\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create values for table\ntable_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=table_data, loc=' center<\/span> ')\n\n#modify table\n<\/span>table. set_fontsize<\/span> (14)\ntable. scale<\/span> (1.4)\nax. axis<\/span> (' off<\/span> ')\n\n#displaytable\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\u062c\u062f\u0648\u0644<\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 table.scale(width, length)<\/strong> \u064a\u0639\u062f\u0644 \u0639\u0631\u0636 \u0648\u0637\u0648\u0644 \u0627\u0644\u062c\u062f\u0648\u0644. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u062c\u0639\u0644 \u0627\u0644\u062c\u062f\u0648\u0644 \u0623\u0637\u0648\u0644 \u0639\u0646 \u0637\u0631\u064a\u0642 \u062a\u063a\u064a\u064a\u0631 \u0627\u0644\u0637\u0648\u0644:<\/span> <\/p>\n
 table. scale<\/span> (1.10)\n<\/span><\/span><\/strong><\/pre>\n
\"\u0627\u0644\u062c\u062f\u0648\u0644<\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0646\u0635 \u0625\u0644\u0649 \u0645\u0624\u0627\u0645\u0631\u0627\u062a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u0646\u0633\u0628\u0629 \u0627\u0644\u0639\u0631\u0636 \u0625\u0644\u0649 \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639 \u0641\u064a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u062e\u0637 \u0627\u0644\u0623\u0633\u0637\u0648\u0631\u064a \u0641\u064a Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0627\u0644\u062a\u0627\u0644\u064a\u062a\u064a\u0646 \u0644\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u062c\u062f\u0627\u0648\u0644 \u0641\u064a Python \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0645\u0646 \u0645\u0644\u0641 pandas DataFrame #create pandas DataFrame df = pd.DataFrame(np. random . randn (20, 2), columns=[‘ First ‘, ‘ Second ‘]) #create table table = ax. table (cellText=df. values , colLabels=df. columns , loc=’ center ‘) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0646\u0634\u0627\u0621 \u0635\u0641\u064a\u0641 […]<\/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 \u062c\u062f\u0648\u0644 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib - \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0621<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u062c\u062f\u0627\u0648\u0644 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u062c\u062f\u0648\u0644-\u0645\u0627\u062a\u0628\u0644\u0648\u062a\u0644\u064a\u0628\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplotlib - 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