{"id":852,"date":"2020-06-22T20:01:07","date_gmt":"2020-06-22T12:01:07","guid":{"rendered":"https:\/\/www.linuxmi.com\/?p=852"},"modified":"2020-06-22T20:01:07","modified_gmt":"2020-06-22T12:01:07","slug":"python-waffle","status":"publish","type":"post","link":"https:\/\/www.linuxmi.com\/python-waffle.html","title":{"rendered":"\u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u534e\u592b\u997c\u56fe"},"content":{"rendered":"

\u5728\u672c\u6587\u4e2d\uff0c\u5b66\u4e60\u5982\u4f55\u7ed8\u5236\u8fd9\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u5e76\u5c06\u5176\u5305\u542b\u5728\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\u5e93\u4e2d\u3002<\/p>\n

\u4e0d\u5e78\u7684\u662f\uff0c\u534e\u592b\u997c\u56fe\u5e76\u6ca1\u6709\u4e0ematplotlib\u5e93\u4e00\u8d77\u63d0\u4f9b\u3002\u6211\u6240\u77e5\u9053\u7684\u6700\u597d\u7684\u66ff\u4ee3\u65b9\u6848\u662fpywaffle\u5305\uff0c\u56e0\u4e3a\u5b83\u4e0ematplotlib\u5b8c\u7f8e\u96c6\u6210\u3002<\/p>\n

\u6709\u4e00\u4e2a\u6587\u6863<\/a>\u548c\u51e0\u4e2a\u5e94\u7528\u793a\u4f8b\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\uff0c\u60a8\u5c31\u53ef\u4ee5\u7ed8\u5236\u7b2c\u4e00\u4e2a\u56fe\u8868\u3002<\/p>\n

\u54e6\uff0c\u662f\u7684\uff0c\u8bf7\u9996\u5148\u68c0\u67e5\u60a8\u7684\u73af\u5883\u4e2d\u662f\u5426\u5b89\u88c5\u4e86\u5b83\u3002\u5426\u5219\uff0c\u53ef\u4ee5\u9700\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n

Conda \u2013 conda install pywaffle<\/li>\n

Pip \u2013 pip install pywaffle<\/li>\n<\/ul>\n

\u4e0b\u9762\u6211\u4eec\u4f7f\u7528\u534e\u592b\u997c\u56fe\u7ed8\u5236<\/p>\n

# \u5bfc\u5165\u5fc5\u8981\u7684\u5e93\r\nimport matplotlib.pyplot as plt\r\nfrom pywaffle import Waffle\r\n\r\n# Waffle\u793a\u4f8b\r\nfig = plt.figure(\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 FigureClass=Waffle,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 rows=10,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 columns=10,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 values={'Ubuntu': 50,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 'CentOS': 20,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 'Debian': 25,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 'linuxmi.com': 5},\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 legend={'loc': 'upper left',\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 'bbox_to_anchor': (1.1, 1)}\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 )\r\n\r\nfig.set_tight_layout(False)\r\nplt.show()<\/code><\/pre>\n<\/p>\n
\u81ea\u5b9a\u4e49\u534e\u592b\u997c\u56fe\u8868<\/strong><\/p>\n
pywaffle\u662f\u9ad8\u5ea6\u5b9a\u5236\u7684\uff0c\u5e76\u4e14\u63a5\u53d7Font Awesome\u56fe\u6807\u5b57\u4f53\u5e93\u3002 \u8ba9\u6211\u4eec\u770b\u770b\u5982\u4f55\u81ea\u5b9a\u4e49\u5e93\u56fe\u6807\u4ee5\u8868\u793a\u6c7d\u8f66\u53d1\u751f\u7684\u4e8b\u4ef6\u548c\u4e8b\u6545\u7684\u7edf\u8ba1\u4fe1\u606f\u3002<\/p>\n
\u4e3a\u6b64\uff0c\u6211\u5c06\u5bfc\u5165\u67d0\u67d0\u4ea4\u901a\u4e8b\u6545\u9884\u9632\u548c\u8c03\u67e5\u4e2d\u5fc3\u7684\u6570\u636e\u5e93\u3002<\/p>\n
# \u5bfc\u5165 pandas\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nfrom pywaffle import Waffle\r\n\r\n# \u5bfc\u5165\u6570\u636e\r\ndf = pd.read_csv(\"2.csv\")\r\n\r\n# \u4ece\u53d8\u91cflinuxmi\u4e2d\u63d0\u53d6\u503c\u8ba1\u6570\r\ndata = df.linuxmi.value_counts().to_dict()\r\n\r\nfig = plt.figure(\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 FigureClass=Waffle,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 rows=8,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 columns=20,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 colors=(\"#FF3647\", \"#8F1E44\", \"#614CC9\"),\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 values=data, icons='car', icon_size=15,\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 legend={'loc': 'upper left', 'bbox_to_anchor': (1,1)},\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 icon_legend=True\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 )\r\nfig.set_tight_layout(False)\r\nplt.show();<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u56fe\u4e2d\uff0c\u6211\u9009\u62e9\u4e86car\u56fe\u6807\uff0c\u5b83\u53ea\u662f\u5176\u4ed6\u8bb8\u591a\u53ef\u7528\u56fe\u6807\u4e4b\u4e00\u3002<\/p>\n
\u5728\u53e6\u4e00\u4e2a\u793a\u4f8b\u4e2d\uff0c\u5047\u8bbe\u60a8\u8981\u7528\u534e\u592b\u997c\u56fe\u8868\u793a\u53c2\u52a0\u7279\u5b9a\u82f1\u8bed\u8bfe\u7a0b\u7684\u7537\u5973\u4eba\u6570\u3002 \u6ce8\u610f\uff0c\u6211\u5c06\u4f7f\u7528male\u56fe\u6807\u3002<\/p>\n
import matplotlib.pyplot as plt\r\nfrom pywaffle import Waffle\r\n\r\nfig = plt.figure(\r\n\u00a0\u00a0\u00a0 FigureClass=Waffle,\r\n\u00a0\u00a0\u00a0 rows=7,\r\n\u00a0\u00a0\u00a0 values={'Men': 48, 'Woman': 64},\r\n\u00a0\u00a0\u00a0 colors=(\"#799DF8\", \"#F33D26\"),\r\n\u00a0\u00a0\u00a0 legend={'loc': 'upper left', 'bbox_to_anchor': (0.3, 0.0001)},\r\n\u00a0\u00a0\u00a0 icons='male', icon_size=20,\r\n\u00a0\u00a0\u00a0 icon_legend=True\r\n)\r\n\r\nfig.set_tight_layout(False)\r\nplt.show();<\/code><\/pre>\n\u6548\u679c\u56fe\u5982\u4e0b\uff1a<\/p>\n
<\/p>\n
\u5b66\u4e60\u66f4\u6709\u89c6\u89c9\u51b2\u51fb\u529b\u7684\u56fe\u5f62\uff0c\u8fdc\u79bb\u90a3\u4e9b\u666e\u901a\u7684\u56fe\u5f62\uff0c\u4f1a\u5bf9\u4f60\u6709\u5f88\u5927\u7684\u5e2e\u52a9\u3002\u5305\u62ec\u4eca\u5929\u6211\u4eec\u4ecb\u7ecd\u7684\u534e\u592b\u997c\u56fe\u8868\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u5728\u672c\u6587\u4e2d\uff0c\u5b66\u4e60\u5982\u4f55\u7ed8\u5236\u8fd9\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u5e76\u5c06\u5176\u5305\u542b\u5728\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\u5e93\u4e2d\u3002 \u4e0d\u5e78\u7684\u662f\uff0c\u534e\u592b\u997c\u56fe\u5e76\u6ca1\u6709\u4e0ema …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4],"tags":[74],"class_list":["post-852","post","type-post","status-publish","format-standard","hentry","category-python","tag-74"],"aioseo_notices":[],"views":1087,"_links":{"self":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/comments?post=852"}],"version-history":[{"count":2,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/852\/revisions"}],"predecessor-version":[{"id":857,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/posts\/852\/revisions\/857"}],"wp:attachment":[{"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/media?parent=852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/categories?post=852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.linuxmi.com\/wp-json\/wp\/v2\/tags?post=852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}