{"id":3302,"date":"2023-07-18T05:04:24","date_gmt":"2023-07-18T05:04:24","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-%e6%b0%b4%e5%b9%b3%e7%bd%91%e6%a0%bc%e7%ba%bf\/"},"modified":"2023-07-18T05:04:24","modified_gmt":"2023-07-18T05:04:24","slug":"matplotlib-%e6%b0%b4%e5%b9%b3%e7%bd%91%e6%a0%bc%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-%e6%b0%b4%e5%b9%b3%e7%bd%91%e6%a0%bc%e7%ba%bf\/","title":{"rendered":"\u5982\u4f55\u5728 matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c\uff1a<\/span><\/p>\n

 ax. grid<\/span> (axis=' y<\/span> ')<\/span><\/span><\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n
\u793a\u4f8b\uff1a\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u521b\u5efa\u6761\u5f62\u56fe\uff0c\u5e76\u4e14\u56fe\u4e2d\u4ec5\u663e\u793a\u6c34\u5e73\u7f51\u683c\uff1a<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines\n<\/span>ax. grid<\/span> (axis=' y<\/span> ')\n\n#displayplot\n<\/span>plt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
\u968f\u610f\u4f7f\u7528ax.set_axisbelow(True)<\/strong>\u5728\u56fe\u4e2d\u7684\u6761\u5f62\u540e\u9762\u663e\u793a\u6c34\u5e73\u7f51\u683c\u7ebf\uff1a<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines behind bars in the plot\nax. set_axisbelow<\/span> ( True<\/span> )\n<\/span><\/span>ax. grid<\/span> (axis=' y<\/span> ')\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\u6c34\u5e73\u7f51\u683c<\/p>\n
\u5e76\u968f\u610f\u4f7f\u7528grid()<\/strong>\u51fd\u6570\u4e2d\u7684color<\/strong> \u3001 linestyle<\/strong>\u548clinewidth<\/strong>\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u7f51\u683c\u7684\u5916\u89c2\uff1a<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ':['Mavs', 'Nets', 'Spurs', 'Warriors'],\n                   ' points<\/span> ':[105, 99, 112, 100]})\n\n#defineplot\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create bar plot\n<\/span>df. plot<\/span> (kind=' bar<\/span> ', ax=ax)\n\n#add horizontal gridlines with custom appearance<\/span>\nax. set_axisbelow<\/span> ( True<\/span> )\nax. grid<\/span> (axis=' y<\/span> ', color=' red<\/span> ', linestyle=' dashed<\/span> ', linewidth= 3<\/span> )\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
\u60a8\u53ef\u4ee5\u5728 Matplotlib \u6587\u6863<\/a>\u4e2d\u627e\u5230\u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf\u65b9\u6cd5\u7684\u5b8c\u6574\u5217\u8868\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n
 \u5982\u4f55\u4ece Matplotlib \u56fe\u4e2d\u5220\u9664\u523b\u5ea6<\/a>
\u5982\u4f55\u66f4\u6539 Matplotlib \u7ed8\u56fe\u4e0a\u7684\u5b57\u4f53\u5927\u5c0f<\/a>
\u5982\u4f55\u5728 Matplotlib \u4e2d\u6dfb\u52a0\u5e73\u5747\u7ebf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c\uff1a ax. grid (axis=’ y ‘) […]<\/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-3302","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u4ec5\u5728\u7ed8\u56fe\u4e0a\u7ed8\u5236\u6c34\u5e73\u7f51\u683c\u3002\" \/>\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\/cn\/matplotlib-\u6c34\u5e73\u7f51\u683c\u7ebf\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Matplotlib \u4e2d\u4ec5\u5728\u7ed8\u56fe\u4e0a\u7ed8\u5236\u6c34\u5e73\u7f51\u683c\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/cn\/matplotlib-\u6c34\u5e73\u7f51\u683c\u7ebf\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T05:04:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/horz0.jpg\" \/>\n<meta name=\"author\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/cn\/matplotlib-%e6%b0%b4%e5%b9%b3%e7%bd%91%e6%a0%bc%e7%ba%bf\/\",\"url\":\"https:\/\/statorials.org\/cn\/matplotlib-%e6%b0%b4%e5%b9%b3%e7%bd%91%e6%a0%bc%e7%ba%bf\/\",\"name\":\"\u5982\u4f55\u5728 Matplotlib \u4e2d\u4ec5\u7ed8\u5236\u6c34\u5e73\u7f51\u683c - 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