{"id":1659,"date":"2023-07-25T11:56:30","date_gmt":"2023-07-25T11:56:30","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97\/"},"modified":"2023-07-25T11:56:30","modified_gmt":"2023-07-25T11:56:30","slug":"matplotlib-%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-%e6%97%b6%e9%97%b4%e5%ba%8f%e5%88%97\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5728 Matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n\nplt. <span style=\"color: #3366ff;\">plot<\/span> (df. <span style=\"color: #3366ff;\">x<\/span> , df. <span style=\"color: #3366ff;\">y<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8fd9\u5047\u8bbe\u53d8\u91cf x \u5c5e\u4e8e<strong>datetime.datetime()<\/strong>\u7c7b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u6b64\u8bed\u6cd5\u5728 Python \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u5728 Matplotlib \u4e2d\u7ed8\u5236\u57fa\u672c\u65f6\u95f4\u5e8f\u5217<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\uff0c\u663e\u793a\u4f01\u4e1a\u8fde\u7eed 12 \u5929\u7684\u603b\u9500\u552e\u989d\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> datetime\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': np. <span style=\"color: #3366ff;\">array<\/span> ([datetime. <span style=\"color: #3366ff;\">datetime<\/span> (2020, 1, i+1)\n<span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(12)]),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n<span style=\"color: #008080;\">#plot time series\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df. <span style=\"color: #3366ff;\">date<\/span> , df. <span style=\"color: #3366ff;\">sales<\/span> , linewidth= <span style=\"color: #008000;\">3<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-16349 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/heure1.png\" alt=\"\" width=\"556\" height=\"388\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">X \u8f74\u663e\u793a\u65e5\u671f\uff0cY \u8f74\u663e\u793a\u6bcf\u4e2a\u65e5\u671f\u7684\u603b\u9500\u552e\u989d\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u81ea\u5b9a\u4e49\u6807\u9898\u548c\u8f74\u6807\u7b7e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5411\u7ed8\u56fe\u6dfb\u52a0\u6807\u9898\u548c\u8f74\u6807\u7b7e\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> datetime\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': np. <span style=\"color: #3366ff;\">array<\/span> ([datetime. <span style=\"color: #3366ff;\">datetime<\/span> (2020, 1, i+1)\n<span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(12)]),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\n<span style=\"color: #008080;\">#plot time series\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> (df. <span style=\"color: #3366ff;\">date<\/span> , df. <span style=\"color: #3366ff;\">sales<\/span> , linewidth= <span style=\"color: #008000;\">3<\/span> )\n\n<span style=\"color: #008080;\">#add title and axis labels\n<\/span>plt. <span style=\"color: #3366ff;\">title<\/span> (' <span style=\"color: #ff0000;\">Sales by Date<\/span> ')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">Date<\/span> ')\nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #ff0000;\">Sales<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-16352 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/heure2.png\" alt=\"\" width=\"558\" height=\"401\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 3\uff1a\u5728 Matplotlib \u4e2d\u7ed8\u5236\u591a\u4e2a\u65f6\u95f4\u5e8f\u5217<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u7684\u5355\u4e2a\u56fe\u4e2d\u7ed8\u5236\u591a\u4e2a\u65f6\u95f4\u5e8f\u5217\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> datetime\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define data\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': np. <span style=\"color: #3366ff;\">array<\/span> ([datetime. <span style=\"color: #3366ff;\">datetime<\/span> (2020, 1, i+1)\n                                     <span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(12)]),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [3, 4, 4, 7, 8, 9, 14, 17, 12, 8, 8, 13]})\n\ndf2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': np. <span style=\"color: #3366ff;\">array<\/span> ([datetime. <span style=\"color: #3366ff;\">datetime<\/span> (2020, 1, i+1)\n                                      <span style=\"color: #008000;\">for<\/span> i <span style=\"color: #008000;\">in<\/span> range(12)]),\n                   ' <span style=\"color: #ff0000;\">returns<\/span> ': [1, 1, 2, 3, 3, 3, 4, 3, 2, 3, 4, 7]})\n\n<span style=\"color: #008080;\">#plot both time series\n<\/span>plt. <span style=\"color: #3366ff;\">plot<\/span> ( <span style=\"color: #3366ff;\">df.date<\/span> , <span style=\"color: #3366ff;\">df.sales<\/span> , label=' <span style=\"color: #ff0000;\">sales<\/span> ', linewidth= <span style=\"color: #008000;\">3<\/span> )\nplt. <span style=\"color: #3366ff;\">plot<\/span> ( <span style=\"color: #3366ff;\">df2.date<\/span> , <span style=\"color: #3366ff;\">df2.returns<\/span> , color=' <span style=\"color: #ff0000;\">red<\/span> ', label=' <span style=\"color: #ff0000;\">returns<\/span> ', linewidth= <span style=\"color: #008000;\">3<\/span> )\n\n<span style=\"color: #008080;\">#add title and axis labels\n<\/span>plt. <span style=\"color: #3366ff;\">title<\/span> (' <span style=\"color: #ff0000;\">Sales by Date<\/span> ')\nplt. <span style=\"color: #3366ff;\">xlabel<\/span> (' <span style=\"color: #ff0000;\">Date<\/span> ')\nplt. <span style=\"color: #3366ff;\">ylabel<\/span> (' <span style=\"color: #ff0000;\">Sales<\/span> ')\n\n<span style=\"color: #008080;\">#add legend<\/span>\nplt. <span style=\"color: #3366ff;\">legend<\/span> ()\n\n<span style=\"color: #008080;\">#displayplot\n<\/span>plt. <span style=\"color: #3366ff;\">show<\/span> ()<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-16353 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/temps3.png\" alt=\"Matplotlib \u4e2d\u7684\u591a\u4e2a\u65f6\u95f4\u5e8f\u5217\" width=\"578\" height=\"415\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u5206\u7ec4\u7bb1\u7ebf\u56fe\/\" target=\"_blank\" rel=\"noopener\">Matplotlib\uff1a\u5982\u4f55\u6309\u7ec4\u521b\u5efa\u7bb1\u7ebf\u56fe<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/matplotlib-\u5806\u79ef\u6761\u5f62\u56fe\/\" target=\"_blank\" rel=\"noopener\">Matplotlib\uff1a\u5982\u4f55\u521b\u5efa\u5806\u79ef\u6761\u5f62\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u5728 Matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\uff1a import matplotlib. pyplo [&hellip;]<\/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":[],"class_list":["post-1659","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 Matplotlib \u4e2d\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\uff08\u9644\u793a\u4f8b\uff09<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib 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