{"id":1189,"date":"2023-07-27T08:34:43","date_gmt":"2023-07-27T08:34:43","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%b3%d9%85%d9%83-%d8%ae%d8%b7-matplotlib\/"},"modified":"2023-07-27T08:34:43","modified_gmt":"2023-07-27T08:34:43","slug":"%d8%b3%d9%85%d9%83-%d8%ae%d8%b7-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%b3%d9%85%d9%83-%d8%ae%d8%b7-matplotlib\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637 \u0641\u064a matplotlib"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0628\u0633\u0647\u0648\u0644\u0629 \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637\u0648\u0637 \u0641\u064a \u0645\u062e\u0637\u0637\u0627\u062a Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062f\u0627\u0644\u0629 \u0648\u0633\u064a\u0637\u0629 \u0639\u0631\u0636 \u0627\u0644\u062e\u0637<\/b> \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n

matplotlib.pyplot.plot(x, y, linewidth=1.5)<\/strong><\/span><\/p>\n

\u0628\u0634\u0643\u0644 \u0627\u0641\u062a\u0631\u0627\u0636\u064a\u060c \u064a\u0643\u0648\u0646 \u0639\u0631\u0636 \u0627\u0644\u062e\u0637 1.5 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646\u0643 \u0636\u0628\u0637\u0647 \u0639\u0644\u0649 \u0623\u064a \u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 0.<\/span><\/p>\n

\u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u0645\u0644\u064a \u0644\u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629.<\/span><\/p>\n

\u0645\u062b\u0627\u0644 1: \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\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\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u062e\u0637\u064a \u0628\u0633\u064a\u0637 \u0648\u062a\u0639\u064a\u064a\u0646 \u0639\u0631\u0636 \u0627\u0644\u062e\u0637 \u0625\u0644\u0649 3:<\/span> <\/p>\n

 import matplotlib. pyplot<\/span> as<\/span> plt<\/span>\nimport numpy<\/span> as np<\/span>\n\n#define x and y values\n<\/span>x = np. linspace<\/span> (0, 10, 100)\ny1 = np. sin<\/span> (x)*np. exp<\/span> (-x\/3)\n\n#create line plot with line width set to 3\n<\/span>plt. plot<\/span> (x, y1, linewidth= 3<\/span> )\n\n#displayplot\n<\/span>plt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\u0636\u0628\u0637<\/p>\n
 \u0645\u062b\u0627\u0644 2:<\/strong><\/span> \u0636\u0628\u0637 \u0633\u0645\u0643 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637\u0648\u0637 \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629:<\/span> <\/p>\n
 import matplotlib. pyplot<\/span> as plt<\/span>\nimport numpy<\/span> as np<\/span>\n\n#define x and y values\n<\/span>x = np. linspace<\/span> (0, 10, 100)\ny1 = np. sin<\/span> (x)*np. exp<\/span> (-x\/3)\ny2 = np. cos<\/span> (x)*np. exp<\/span> (-x\/5)\n\n#create line plot with multiple lines\n<\/span>plt. plot<\/span> (x, y1, linewidth= 3<\/span> )\nplt. plot<\/span> (x, y2, linewidth= 1<\/span> )\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\u0636\u0628\u0637<\/p>\n
 \u0645\u062b\u0627\u0644 3: \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637\u0648\u0637 \u0641\u064a \u0627\u0644\u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0648\u0636\u064a\u062d\u064a\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 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0633\u0645\u0627\u0643\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0648\u0625\u0646\u0634\u0627\u0621 \u0648\u0633\u064a\u0644\u0629 \u0625\u064a\u0636\u0627\u062d \u062a\u0639\u0631\u0636 \u0633\u0645\u0643 \u0643\u0644 \u0633\u0637\u0631 \u0648\u0641\u0642\u064b\u0627 \u0644\u0630\u0644\u0643:<\/span> <\/p>\n
 import matplotlib. pyplot<\/span> as plt<\/span>\nimport numpy<\/span> as np<\/span>\n\n#define x and y values\n<\/span>x = np. linspace<\/span> (0, 10, 100)\ny1 = np. sin<\/span> (x)*np. exp<\/span> (-x\/3)\ny2 = np. cos<\/span> (x)*np. exp<\/span> (-x\/5)\n\n#create line plot with multiple lines\n<\/span>plt. plot<\/span> (x,y1,linewidth=3,label=' y1<\/span> ')\nplt. plot<\/span> (x, y2, linewidth=1, label=' y2<\/span> ')\n\n#add legend\n<\/span>plt. legend<\/span> ()\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\u0636\u0628\u0637<\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0621 \u0627\u0644\u0645\u0633\u0627\u062d\u0627\u062a \u0628\u064a\u0646 \u0627\u0644\u0623\u0633\u0637\u0631 \u0641\u064a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0642\u0631\u0627\u062f \u0645\u0646 \u0645\u0624\u0627\u0645\u0631\u0627\u062a Matplotlib<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0648\u0636\u0639 \u0648\u0633\u064a\u0644\u0629 \u0627\u0644\u0625\u064a\u0636\u0627\u062d \u062e\u0627\u0631\u062c \u0645\u0624\u0627\u0645\u0631\u0629 Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0628\u0633\u0647\u0648\u0644\u0629 \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637\u0648\u0637 \u0641\u064a \u0645\u062e\u0637\u0637\u0627\u062a Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062f\u0627\u0644\u0629 \u0648\u0633\u064a\u0637\u0629 \u0639\u0631\u0636 \u0627\u0644\u062e\u0637 \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a: matplotlib.pyplot.plot(x, y, linewidth=1.5) \u0628\u0634\u0643\u0644 \u0627\u0641\u062a\u0631\u0627\u0636\u064a\u060c \u064a\u0643\u0648\u0646 \u0639\u0631\u0636 \u0627\u0644\u062e\u0637 1.5 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646\u0643 \u0636\u0628\u0637\u0647 \u0639\u0644\u0649 \u0623\u064a \u0642\u064a\u0645\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 0. \u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u0645\u0644\u064a \u0644\u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629. \u0645\u062b\u0627\u0644 1: \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\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 \u0636\u0628\u0637 \u0633\u0645\u0643 \u0627\u0644\u062e\u0637 \u0641\u064a Matplotlib - 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