![\"python\u5982\u4f55\u7528\u753b\u56fe\u51fd\u6570\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063100\/f6c6ebab-24e1-4ba9-a11e-e2cedb00ca97.webp\")
<\/p>\n<\/p>\n
\u5728Python\u4e2d\u4f7f\u7528\u753b\u56fe\u51fd\u6570\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528Matplotlib\u5e93\u3001Seaborn\u5e93\u3001Plotly\u5e93\u3001Bokeh\u5e93\u7b49\uff0c\u5176\u4e2dMatplotlib\u662f\u6700\u57fa\u7840\u548c\u5e7f\u6cdb\u4f7f\u7528\u7684\u3002\u901a\u8fc7\u8fd9\u4e9b\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u521b\u5efa\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u6765\u5c55\u793a\u548c\u5206\u6790\u6570\u636e\u3002Matplotlib\u5e93\u5c24\u5176\u53d7\u5230\u6b22\u8fce\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/strong><\/p>\n<\/p>\n \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Matplotlib\u5e93\u8fdb\u884c\u753b\u56fe\uff0c\u5e76\u63a2\u8ba8\u5176\u4ed6\u4e00\u4e9b\u56fe\u5f62\u5e93\u7684\u4f18\u70b9\u548c\u4f7f\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5305\u62ec\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528Matplotlib\u8fdb\u884c\u57fa\u672c\u7ed8\u56fe\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n \u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n Matplotlib\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3a import matplotlib.pyplot as plt<\/p>\n x = [1, 2, 3, 4, 5]<\/p>\n y = [2, 3, 5, 7, 11]<\/p>\n plt.plot(x, y)<\/p>\n plt.title('Simple Line Plot')<\/p>\n plt.xlabel('X-axis')<\/p>\n plt.ylabel('Y-axis')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n Matplotlib\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u5916\u89c2\uff0c\u5305\u62ec\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n plt.legend(['Line 1'])<\/p>\n <\/code><\/pre>\n<\/p>\n plt.ylim(0, 12)<\/p>\n <\/code><\/pre>\n<\/p>\n Seaborn\u662f\u57fa\u4e8eMatplotlib\u4e4b\u4e0a\u7684\u9ad8\u7ea7\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7b80\u6d01\u7684\u63a5\u53e3\u548c\u66f4\u4e3a\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u3002\u4ee5\u4e0b\u662fSeaborn\u7684\u4e00\u4e9b\u7279\u6027\u548c\u4f7f\u7528\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n \u5b89\u88c5Seaborn\u7684\u65b9\u6cd5\u4e0eMatplotlib\u76f8\u4f3c\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u5bfc\u5165Seaborn\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n Seaborn\u7b80\u5316\u4e86\u8bb8\u591a\u5e38\u7528\u56fe\u5f62\u7684\u7ed8\u5236\u8fc7\u7a0b\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u6563\u70b9\u56fe\uff1a<\/p>\n<\/p>\n import matplotlib.pyplot as plt<\/p>\n tips = sns.load_dataset('tips')<\/p>\n sns.scatterplot(x='total_bill', y='tip', data=tips)<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n Seaborn\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u5982\u652f\u6301\u6570\u636e\u6846\u7684\u81ea\u52a8\u5904\u7406\u3001\u7edf\u8ba1\u56fe\u5f62\u7684\u76f4\u63a5\u7ed8\u5236\u7b49\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u7bb1\u7ebf\u56fe\uff1a<\/p>\n<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5e93\uff0c\u9002\u7528\u4e8e\u9700\u8981\u4ea4\u4e92\u529f\u80fd\u7684\u573a\u666f\uff0c\u5982Web\u5e94\u7528\u548c\u4eea\u8868\u76d8\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u5bfc\u5165Plotly\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n Plotly\u53ef\u4ee5\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u4f8b\u5982\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe\uff1a<\/p>\n<\/p>\n df = px.data.iris()<\/p>\n fig = px.scatter(df, x='sepal_length', y='sepal_width', color='species')<\/p>\n fig.show()<\/p>\n <\/code><\/pre>\n<\/p>\n Bokeh\u662f\u53e6\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u5e93\uff0c\u4e13\u6ce8\u4e8e\u6d4f\u89c8\u5668\u4e2d\u7684\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u5bfc\u5165Bokeh\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n Bokeh\u7684\u4f7f\u7528\u793a\u4f8b\uff1a<\/p>\n<\/p>\n from bokeh.io import output_notebook<\/p>\n output_notebook()<\/p>\n p = figure(title='Simple Line Plot', x_axis_label='x', y_axis_label='y')<\/p>\n p.line([1, 2, 3, 4, 5], [2, 3, 5, 7, 11], legend_label='Line 1', line_width=2)<\/p>\n show(p)<\/p>\n <\/code><\/pre>\n<\/p>\n Python\u63d0\u4f9b\u4e86\u591a\u79cd\u7ed8\u56fe\u5e93\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\uff1aMatplotlib\u9002\u5408\u4e8e\u9759\u6001\u56fe\u5f62\u7684\u5feb\u901f\u7ed8\u5236\uff0cSeaborn\u63d0\u4f9b\u4e86\u66f4\u7f8e\u89c2\u548c\u7b80\u6d01\u7684\u63a5\u53e3\uff0c\u800cPlotly\u548cBokeh\u5219\u9002\u5408\u4e8e\u9700\u8981\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u5e94\u7528\u573a\u666f<\/strong>\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u66f4\u6709\u6548\u5730\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u548c\u5206\u6790\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u5e93\uff0c\u638c\u63e1\u5176\u57fa\u672c\u7528\u6cd5\u548c\u9ad8\u7ea7\u529f\u80fd\u90fd\u80fd\u591f\u6781\u5927\u5730\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5448\u73b0\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n \u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u57fa\u672c\u56fe\u5f62\uff1f<\/strong> \u5728Python\u4e2d\u7ed8\u56fe\u65f6\u5982\u4f55\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e\uff1f<\/strong> \u662f\u5426\u53ef\u4ee5\u5728Python\u4e2d\u81ea\u5b9a\u4e49\u56fe\u5f62\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1f<\/strong>\u4e00\u3001MATPLOTLIB\u5e93<\/strong><\/h2>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/h2>\n<\/p>\n
pip install matplotlib<\/p>\nimport matplotlib.pyplot as plt<\/p>\n2. \u7ed8\u5236\u7b80\u5355\u56fe\u5f62<\/h2>\n<\/p>\n
pyplot<\/code>\u7684\u6a21\u5757\uff0c\u8be5\u6a21\u5757\u5305\u542b\u4e86\u4e00\u7ec4\u51fd\u6570\uff0c\u7528\u4e8e\u521b\u5efa\u548c\u81ea\u5b9a\u4e49\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u7ed8\u5236\u7b80\u5355\u6298\u7ebf\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n# \u5bfc\u5165Matplotlib<\/p>\n\u6570\u636e<\/strong><\/h2>\n
\u521b\u5efa\u6298\u7ebf\u56fe<\/strong><\/h2>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
3. \u81ea\u5b9a\u4e49\u56fe\u5f62<\/h2>\n<\/p>\n
\n
plt.plot(x, y, color='red', linestyle='--', marker='o')<\/p>\n\n
plt.grid(True)<\/p>\n\n
plt.xlim(0, 6)<\/p>\n\u4e8c\u3001SEABORN\u5e93<\/strong><\/h2>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165Seaborn<\/h2>\n<\/p>\n
pip install seaborn<\/p>\nimport seaborn as sns<\/p>\n2. \u7ed8\u5236\u56fe\u5f62<\/h2>\n<\/p>\n
import seaborn as sns<\/p>\n\u6570\u636e<\/strong><\/h2>\n
\u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
3. \u9ad8\u7ea7\u529f\u80fd<\/h2>\n<\/p>\n
sns.boxplot(x='day', y='total_bill', data=tips)<\/p>\n\u4e09\u3001PLOTLY\u5e93<\/strong><\/h2>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165Plotly<\/h2>\n<\/p>\n
pip install plotly<\/p>\nimport plotly.express as px<\/p>\n2. \u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62<\/h2>\n<\/p>\n
import plotly.express as px<\/p>\n\u6570\u636e<\/strong><\/h2>\n
\u521b\u5efa\u6563\u70b9\u56fe<\/strong><\/h2>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
\u56db\u3001BOKEH\u5e93<\/strong><\/h2>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165Bokeh<\/h2>\n<\/p>\n
pip install bokeh<\/p>\nfrom bokeh.plotting import figure, show<\/p>\n2. \u521b\u5efa\u56fe\u5f62<\/h2>\n<\/p>\n
from bokeh.plotting import figure, show<\/p>\n\u5728Jupyter Notebook\u4e2d\u8f93\u51fa<\/strong><\/h2>\n
\u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/strong><\/h2>\n
\u6dfb\u52a0\u7ebf\u6761<\/strong><\/h2>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
\u4e94\u3001\u603b\u7ed3<\/strong><\/h2>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u4f7f\u7528matplotlib<\/code>\u5e93\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u57fa\u672c\u56fe\u5f62\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5matplotlib<\/code>\u5e93\uff0c\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install matplotlib<\/code>\u6765\u5b8c\u6210\u3002\u5b89\u88c5\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u7ebf\u56fe\uff0cplt.bar()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\uff0cplt.scatter()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u6563\u70b9\u56fe\u7b49\u3002\u6bcf\u79cd\u51fd\u6570\u90fd\u6709\u81ea\u5df1\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u8c03\u6574\u56fe\u5f62\u7684\u6837\u5f0f\u3001\u989c\u8272\u548c\u6807\u7b7e\u7b49\uff0c\u4ee5\u6ee1\u8db3\u60a8\u7684\u9700\u6c42\u3002<\/p>\n
\u5728\u4f7f\u7528matplotlib<\/code>\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e\u975e\u5e38\u7b80\u5355\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528plt.title('\u6807\u9898\u5185\u5bb9')<\/code>\u6765\u8bbe\u7f6e\u56fe\u8868\u7684\u6807\u9898\uff0cplt.xlabel('X\u8f74\u6807\u7b7e')<\/code>\u548cplt.ylabel('Y\u8f74\u6807\u7b7e')<\/code>\u6765\u5206\u522b\u8bbe\u7f6eX\u8f74\u548cY\u8f74\u7684\u6807\u7b7e\u3002\u8fd9\u4e9b\u529f\u80fd\u4f7f\u5f97\u60a8\u7684\u56fe\u5f62\u66f4\u52a0\u6e05\u6670\u6613\u61c2\uff0c\u89c2\u4f17\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u7684\u542b\u4e49\u3002<\/p>\n
\u5b8c\u5168\u53ef\u4ee5\u3002matplotlib<\/code>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u81ea\u5b9a\u4e49\u9009\u9879\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u5982color<\/code>\u3001linestyle<\/code>\u548cmarker<\/code>\u6765\u4fee\u6539\u56fe\u5f62\u7684\u989c\u8272\u3001\u7ebf\u578b\u548c\u6807\u8bb0\u3002\u4f8b\u5982\uff0c\u5728plt.plot(x, y, color='red', linestyle='--', marker='o')<\/code>\u4e2d\uff0c\u60a8\u53ef\u4ee5\u6307\u5b9a\u56fe\u5f62\u4e3a\u7ea2\u8272\u865a\u7ebf\uff0c\u5e76\u5728\u6570\u636e\u70b9\u5904\u6dfb\u52a0\u5706\u5f62\u6807\u8bb0\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528plt.style.use('style_name')<\/code>\u6765\u5e94\u7528\u9884\u5b9a\u4e49\u7684\u6837\u5f0f\uff0c\u4f7f\u56fe\u5f62\u5448\u73b0\u51fa\u4e0d\u540c\u7684\u89c6\u89c9\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f7f\u7528\u753b\u56fe\u51fd\u6570\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528Matplotlib\u5e93\u3001Seaborn\u5e93\u3001Plotly\u5e93\u3001B […]","protected":false},"author":3,"featured_media":986548,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986541"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=986541"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986541\/revisions"}],"predecessor-version":[{"id":986553,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986541\/revisions\/986553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/986548"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=986541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=986541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=986541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}