{"id":945279,"date":"2024-12-26T23:24:08","date_gmt":"2024-12-26T15:24:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945279.html"},"modified":"2024-12-26T23:24:10","modified_gmt":"2024-12-26T15:24:10","slug":"python-%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8mat","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/945279.html","title":{"rendered":"python \u5982\u4f55\u4f7f\u7528mat"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25081931\/bae7d12e-ee42-4ecb-8150-da70889311dd.webp\" alt=\"python \u5982\u4f55\u4f7f\u7528mat\" \/><\/p>\n<p><p> <strong>Python\u4e2d\u4f7f\u7528MAT\u6587\u4ef6\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u70b9\uff1a\u4f7f\u7528SciPy\u5e93\u52a0\u8f7dMAT\u6587\u4ef6\u3001\u4f7f\u7528h5py\u5e93\u52a0\u8f7dMAT\u6587\u4ef6\u3001\u7406\u89e3MAT\u6587\u4ef6\u7684\u7ed3\u6784<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528SciPy\u5e93\u662f\u6700\u5e38\u89c1\u4e14\u4fbf\u6377\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3aSciPy\u63d0\u4f9b\u4e86\u76f4\u63a5\u8bfb\u53d6MAT\u6587\u4ef6\u7684\u529f\u80fd\u3002MAT\u6587\u4ef6\u662f\u4e00\u79cd\u7528\u4e8e\u4fdd\u5b58MATLAB\u53d8\u91cf\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u5728\u6570\u636e\u79d1\u5b66\u548c\u5de5\u7a0b\u9886\u57df\u4e2d\u88ab\u5e7f\u6cdb\u4f7f\u7528\u3002Python\u901a\u8fc7SciPy\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u548c\u5199\u5165MAT\u6587\u4ef6\uff0c\u8fd9\u4f7f\u5f97Python\u4e0eMATLAB\u4e4b\u95f4\u7684\u6570\u636e\u4ea4\u6362\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528MAT\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528SCIPY\u5e93\u52a0\u8f7dMAT\u6587\u4ef6<\/p>\n<\/p>\n<p><p>SciPy\u5e93\u4e2d\u7684<code>scipy.io<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u53d6\u548c\u5199\u5165MAT\u6587\u4ef6\u7684\u529f\u80fd\u3002\u901a\u8fc7<code>loadmat<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06MAT\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230Python\u4e2d\u4f5c\u4e3a\u5b57\u5178\u5f62\u5f0f\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u5b89\u88c5SciPy\u5e93<\/strong><\/li>\n<\/ol>\n<p><p>\u5728\u4f7f\u7528SciPy\u5e93\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u8bfb\u53d6MAT\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n<p><p>SciPy\u5e93\u4e2d\u7684<code>loadmat<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6MAT\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.io import loadmat<\/p>\n<h2><strong>\u52a0\u8f7dMAT\u6587\u4ef6<\/strong><\/h2>\n<p>data = loadmat(&#39;example.mat&#39;)<\/p>\n<h2><strong>\u663e\u793a\u6587\u4ef6\u4e2d\u7684\u53d8\u91cf<\/strong><\/h2>\n<p>print(data.keys())<\/p>\n<h2><strong>\u8bbf\u95ee\u5177\u4f53\u53d8\u91cf<\/strong><\/h2>\n<p>variable = data[&#39;variable_name&#39;]<\/p>\n<p>print(variable)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u52a0\u8f7d\u4e86\u4e00\u4e2a\u540d\u4e3a<code>example.mat<\/code>\u7684MAT\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528<code>data.keys()<\/code>\u67e5\u770b\u6587\u4ef6\u4e2d\u5305\u542b\u7684\u53d8\u91cf\u540d\u3002\u53ef\u4ee5\u901a\u8fc7\u53d8\u91cf\u540d\u8bbf\u95ee\u5177\u4f53\u7684\u53d8\u91cf\u6570\u636e\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u5199\u5165MAT\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n<p><p>\u5982\u679c\u9700\u8981\u5c06Python\u4e2d\u7684\u6570\u636e\u4fdd\u5b58\u4e3aMAT\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>scipy.io.savemat<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.io import savemat<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u4fdd\u5b58\u6570\u636e<\/strong><\/h2>\n<p>data_to_save = {&#39;array1&#39;: array1, &#39;array2&#39;: array2}<\/p>\n<h2><strong>\u4fdd\u5b58\u4e3aMAT\u6587\u4ef6<\/strong><\/h2>\n<p>savemat(&#39;output.mat&#39;, data_to_save)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u8981\u4fdd\u5b58\u7684\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528<code>savemat<\/code>\u51fd\u6570\u5c06\u5176\u5199\u5165MAT\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528H5PY\u5e93\u52a0\u8f7dMAT\u6587\u4ef6<\/p>\n<\/p>\n<p><p>\u5bf9\u4e8e\u8f83\u65b0\u7684MAT\u6587\u4ef6\uff08\u5373MATLAB 7.3\u7248\u672c\u53ca\u4ee5\u540e\uff09\uff0c\u6587\u4ef6\u5b9e\u9645\u4e0a\u662f\u4ee5HDF5\u683c\u5f0f\u5b58\u50a8\u7684\uff0c\u8fd9\u65f6\u53ef\u4ee5\u4f7f\u7528h5py\u5e93\u6765\u8bfb\u53d6\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u5b89\u88c5H5PY\u5e93<\/strong><\/li>\n<\/ol>\n<p><p>\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5h5py\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install h5py<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u8bfb\u53d6MAT\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528h5py\u5e93\u8bfb\u53d6MAT\u6587\u4ef6\u7684\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import h5py<\/p>\n<h2><strong>\u6253\u5f00MAT\u6587\u4ef6<\/strong><\/h2>\n<p>with h5py.File(&#39;example.mat&#39;, &#39;r&#39;) as file:<\/p>\n<p>    # \u663e\u793a\u6587\u4ef6\u4e2d\u7684\u53d8\u91cf<\/p>\n<p>    print(list(file.keys()))<\/p>\n<p>    # \u8bbf\u95ee\u5177\u4f53\u53d8\u91cf<\/p>\n<p>    variable = file[&#39;variable_name&#39;][:]<\/p>\n<p>    print(variable)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>h5py\u5e93\u7684\u4f7f\u7528\u65b9\u5f0f\u4e0eSciPy\u7565\u6709\u4e0d\u540c\uff0c\u56e0\u4e3ah5py\u4e3b\u8981\u7528\u4e8e\u5904\u7406HDF5\u683c\u5f0f\u7684\u6570\u636e\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u7c7b\u4f3c\u4e8e\u8bbf\u95ee\u6587\u4ef6\u7cfb\u7edf\u7684\u65b9\u6cd5\u6765\u8bbf\u95ee\u6570\u636e\u96c6\u548c\u7ec4\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u7406\u89e3MAT\u6587\u4ef6\u7684\u7ed3\u6784<\/p>\n<\/p>\n<p><p>MAT\u6587\u4ef6\u662fMATLAB\u7528\u4e8e\u5b58\u50a8\u53d8\u91cf\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u4e3b\u8981\u5206\u4e3a\u4e24\u79cd\uff1a\u65e7\u7248\uff08MATLAB 5\u7248\u672c\u53ca\u4ee5\u524d\uff09\u548c\u65b0\u7248\uff08MATLAB 7.3\u7248\u672c\u53ca\u4ee5\u540e\uff09\u3002\u65e7\u7248MAT\u6587\u4ef6\u662f\u57fa\u4e8eMATLAB\u81ea\u5df1\u7684\u683c\u5f0f\uff0c\u800c\u65b0\u7248MAT\u6587\u4ef6\u5219\u662f\u57fa\u4e8eHDF5\u683c\u5f0f\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u65e7\u7248MAT\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n<p><p>\u65e7\u7248MAT\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7SciPy\u5e93\u7684<code>loadmat<\/code>\u51fd\u6570\u76f4\u63a5\u8bfb\u53d6\u3002\u8bfb\u53d6\u540e\uff0cMAT\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e2a\u53d8\u91cf\u4f1a\u88ab\u52a0\u8f7d\u4e3a\u4e00\u4e2a\u5b57\u5178\u9879\uff0c\u5b57\u5178\u7684\u952e\u662f\u53d8\u91cf\u540d\uff0c\u503c\u662f\u53d8\u91cf\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u65b0\u7248MAT\u6587\u4ef6<\/strong><\/li>\n<\/ol>\n<p><p>\u65b0\u7248MAT\u6587\u4ef6\u4f7f\u7528HDF5\u683c\u5f0f\u5b58\u50a8\uff0c\u56e0\u6b64\u9700\u8981\u901a\u8fc7h5py\u5e93\u6765\u8bfb\u53d6\u3002\u4e0e\u65e7\u7248\u6587\u4ef6\u4e0d\u540c\uff0c\u65b0\u7248MAT\u6587\u4ef6\u662f\u4ee5\u7ec4\u548c\u6570\u636e\u96c6\u7684\u5f62\u5f0f\u7ec4\u7ec7\u7684\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u53d8\u91cf\u7684\u6570\u636e\u7c7b\u578b<\/strong><\/li>\n<\/ol>\n<p><p>MAT\u6587\u4ef6\u4e2d\u7684\u53d8\u91cf\u53ef\u4ee5\u662f\u591a\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u4f8b\u5982\u6807\u91cf\u3001\u5411\u91cf\u3001\u77e9\u9635\u3001\u7ed3\u6784\u4f53\u548c\u5355\u5143\u6570\u7ec4\u7b49\u3002\u8bfb\u53d6\u540e\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u7684\u6570\u636e\u7c7b\u578b\u5bf9\u6570\u636e\u8fdb\u884c\u89e3\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001Python\u4e0eMATLAB\u6570\u636e\u4ea4\u4e92\u7684\u4f18\u52bf<\/p>\n<\/p>\n<p><p>Python\u4e0eMATLAB\u7684\u4e92\u64cd\u4f5c\u6027\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002MATLAB\u5728\u4fe1\u53f7\u5904\u7406\u3001\u63a7\u5236\u7cfb\u7edf\u7b49\u9886\u57df\u6709\u5e7f\u6cdb\u5e94\u7528\uff0c\u800cPython\u5219\u4ee5\u5176\u4e30\u5bcc\u7684\u5e93\u548c\u7075\u6d3b\u6027\u5728\u6570\u636e\u79d1\u5b66\u4e2d\u5360\u636e\u4e00\u5e2d\u4e4b\u5730\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u6570\u636e\u5171\u4eab<\/strong><\/li>\n<\/ol>\n<p><p>\u901a\u8fc7MAT\u6587\u4ef6\uff0c\u53ef\u4ee5\u5728MATLAB\u548cPython\u4e4b\u95f4\u8f7b\u677e\u5171\u4eab\u6570\u636e\u3002Python\u7684SciPy\u548ch5py\u5e93\u53ef\u4ee5\u8bfb\u53d6MATLAB\u751f\u6210\u7684MAT\u6587\u4ef6\uff0c\u53cd\u4e4b\u4ea6\u7136\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u8d44\u6e90\u6574\u5408<\/strong><\/li>\n<\/ol>\n<p><p>\u7ed3\u5408\u4f7f\u7528Python\u548cMATLAB\uff0c\u53ef\u4ee5\u6709\u6548\u5229\u7528\u4e24\u4e2a\u5e73\u53f0\u7684\u4f18\u52bf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5728MATLAB\u4e2d\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\uff0c\u7136\u540e\u5728Python\u4e2d\u4f7f\u7528<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5e93\u8fdb\u884c\u5efa\u6a21\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u5de5\u4f5c\u6d41\u7a0b\u4f18\u5316<\/strong><\/li>\n<\/ol>\n<p><p>\u901a\u8fc7MAT\u6587\u4ef6\uff0c\u56e2\u961f\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u5de5\u5177\u4e4b\u95f4\u65e0\u7f1d\u5207\u6362\uff0c\u4f18\u5316\u5de5\u4f5c\u6d41\u7a0b\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u4f7f\u7528MAT\u6587\u4ef6\u7684\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528MAT\u6587\u4ef6\u8fdb\u884c\u6570\u636e\u4ea4\u4e92\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u6587\u4ef6\u7248\u672c<\/strong><\/li>\n<\/ol>\n<p><p>\u786e\u4fdd\u8bfb\u53d6\u7684MAT\u6587\u4ef6\u7248\u672c\u4e0e\u4f7f\u7528\u7684\u5de5\u5177\u517c\u5bb9\u3002SciPy\u4e3b\u8981\u7528\u4e8e\u8bfb\u53d6\u65e7\u7248MAT\u6587\u4ef6\uff0c\u800ch5py\u7528\u4e8e\u8bfb\u53d6\u65b0\u7248MAT\u6587\u4ef6\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u6570\u636e\u7c7b\u578b<\/strong><\/li>\n<\/ol>\n<p><p>\u6ce8\u610fMAT\u6587\u4ef6\u4e2d\u53d8\u91cf\u7684\u6570\u636e\u7c7b\u578b\u3002\u5728\u8bfb\u53d6\u540e\uff0c\u53ef\u80fd\u9700\u8981\u8fdb\u884c\u6570\u636e\u8f6c\u6362\uff0c\u4ee5\u4fbf\u5728Python\u4e2d\u5904\u7406\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u6587\u4ef6\u5927\u5c0f<\/strong><\/li>\n<\/ol>\n<p><p>\u5bf9\u4e8e\u5927\u578bMAT\u6587\u4ef6\uff0c\u8bfb\u53d6\u64cd\u4f5c\u53ef\u80fd\u4f1a\u6d88\u8017\u8f83\u591a\u7684\u5185\u5b58\u548c\u65f6\u95f4\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u8003\u8651\u5206\u5757\u8bfb\u53d6\u6216\u4f18\u5316\u6570\u636e\u5b58\u50a8\u683c\u5f0f\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u5408\u7406\u4f7f\u7528MAT\u6587\u4ef6\uff0cPython\u548cMATLAB\u7528\u6237\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684\u6570\u636e\u5171\u4eab\u548c\u534f\u4f5c\uff0c\u5145\u5206\u53d1\u6325\u4e24\u4e2a\u5e73\u53f0\u7684\u4f18\u52bf\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff1f<\/strong><br \/>Matplotlib\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Matplotlib\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install matplotlib<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u4f7f\u7528\u65f6\uff0c\u901a\u5e38\u9700\u8981\u5bfc\u5165\u5e93\u5e76\u8c03\u7528\u76f8\u5e94\u7684\u51fd\u6570\u6765\u521b\u5efa\u56fe\u8868\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\u53ef\u4ee5\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c<code>plt.bar()<\/code>\u53ef\u4ee5\u7ed8\u5236\u67f1\u72b6\u56fe\u3002\u5b8c\u6210\u56fe\u8868\u8bbe\u8ba1\u540e\uff0c\u4f7f\u7528<code>plt.show()<\/code>\u547d\u4ee4\u6765\u663e\u793a\u56fe\u5f62\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u4f7f\u7528Matlab\u6587\u4ef6\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u4e8b\u9879\uff1f<\/strong><br \/>\u5f53\u9700\u8981\u5728Python\u4e2d\u5904\u7406Matlab\u6587\u4ef6\uff08\u5982.mat\u6587\u4ef6\uff09\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528<code>scipy.io<\/code>\u6a21\u5757\u4e2d\u7684<code>loadmat<\/code>\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u80fd\u591f\u8bfb\u53d6Matlab\u683c\u5f0f\u7684\u6587\u4ef6\u5e76\u5c06\u6570\u636e\u8f6c\u6362\u4e3aPython\u5b57\u5178\u683c\u5f0f\u3002\u5728\u4f7f\u7528\u4e4b\u524d\uff0c\u8bf7\u786e\u4fdd\u5b89\u88c5\u4e86SciPy\u5e93\uff0c\u4f7f\u7528<code>pip install scipy<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u952e\u8bbf\u95ee\u7279\u5b9a\u7684\u6570\u636e\u96c6\u3002<\/p>\n<p><strong>\u6709\u4ec0\u4e48\u63a8\u8350\u7684Python\u5e93\u4e0eMatplotlib\u914d\u5408\u4f7f\u7528\u4ee5\u589e\u5f3a\u6570\u636e\u53ef\u89c6\u5316\u6548\u679c\uff1f<\/strong><br \/>\u9664\u4e86Matplotlib\uff0cSeaborn\u662f\u4e00\u4e2a\u975e\u5e38\u53d7\u6b22\u8fce\u7684\u5e93\uff0c\u53ef\u4ee5\u4e0e\u4e4b\u7ed3\u5408\u4f7f\u7528\uff0c\u63d0\u4f9b\u66f4\u4e3a\u7f8e\u89c2\u7684\u7edf\u8ba1\u56fe\u8868\u3002\u4f7f\u7528Seaborn\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>import seaborn as sns<\/code>\u5bfc\u5165\uff0c\u5e76\u5229\u7528\u5176\u51fd\u6570\u8f7b\u677e\u751f\u6210\u70ed\u56fe\u3001\u5206\u5e03\u56fe\u7b49\u3002\u6b64\u5916\uff0cPlotly\u4e5f\u63d0\u4f9b\u4e86\u4ea4\u4e92\u5f0f\u56fe\u8868\u7684\u529f\u80fd\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u5c55\u793a\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u4f7f\u7528MAT\u6587\u4ef6\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4ee5\u4e0b\u51e0\u70b9\uff1a\u4f7f\u7528SciPy\u5e93\u52a0\u8f7dMAT\u6587\u4ef6\u3001\u4f7f\u7528h5py\u5e93\u52a0\u8f7dMAT\u6587 [&hellip;]","protected":false},"author":3,"featured_media":945283,"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\/945279"}],"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=945279"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945279\/revisions"}],"predecessor-version":[{"id":945286,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945279\/revisions\/945286"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/945283"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=945279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=945279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=945279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}