{"id":944108,"date":"2024-12-26T23:00:14","date_gmt":"2024-12-26T15:00:14","guid":{"rendered":""},"modified":"2024-12-26T23:00:17","modified_gmt":"2024-12-26T15:00:17","slug":"python%e5%a6%82%e4%bd%95pywt%e5%ae%89%e8%a3%85","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/944108.html","title":{"rendered":"python\u5982\u4f55pywt\u5b89\u88c5"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25081225\/5b714d26-7c98-4b42-a850-d02033cebae3.webp\" alt=\"python\u5982\u4f55pywt\u5b89\u88c5\" \/><\/p>\n<p><p> <strong>\u8981\u5728Python\u4e2d\u5b89\u88c5PyWavelets\uff08\u7b80\u79f0\u4e3apywt\uff09\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u5305\u7ba1\u7406\u5668\uff0c\u5b83\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u5305\u7ba1\u7406\u5de5\u5177\u3002<\/strong> \u6253\u5f00\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a<code>pip install PyWavelets<\/code>\uff0c\u5373\u53ef\u5b8c\u6210\u5b89\u88c5\u3002\u6b64\u5916\uff0c\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7Anaconda\u8fdb\u884c\u5b89\u88c5\uff0c\u4f7f\u7528\u547d\u4ee4\uff1a<code>conda install pywavelets<\/code>\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u5bfc\u5165\u5e93\u6765\u9a8c\u8bc1\u662f\u5426\u6210\u529f\uff0c\u8f93\u5165<code>import pywt<\/code>\uff0c\u82e5\u65e0\u62a5\u9519\uff0c\u5219\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<hr>\n<p><h3>\u4e00\u3001PyWavelets\u7b80\u4ecb\u4e0e\u5b89\u88c5\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>PyWavelets\u662fPython\u4e2d\u4e00\u4e2a\u7528\u4e8e\u8fdb\u884c\u5c0f\u6ce2\u5206\u6790\u7684\u5e93\u3002\u5c0f\u6ce2\u5206\u6790\u662f\u4e00\u79cd\u4fe1\u53f7\u5904\u7406\u6280\u672f\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u538b\u7f29\u3001\u4fe1\u53f7\u53bb\u566a\u7b49\u9886\u57df\u3002PyWavelets\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u800c\u5f3a\u5927\u7684\u63a5\u53e3\u6765\u6267\u884c\u4e00\u7ef4\u548c\u4e8c\u7ef4\u5c0f\u6ce2\u53d8\u6362\u3002\u4e3a\u4e86\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u4f7f\u7528PyWavelets\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8fd9\u4e2a\u5e93\u3002<\/p>\n<\/p>\n<p><h4>1. \u4f7f\u7528pip\u5b89\u88c5<\/h4>\n<\/p>\n<p><p>pip\u662fPython\u7684\u5305\u7ba1\u7406\u7cfb\u7edf\uff0c\u51e0\u4e4e\u6bcf\u4e2aPython\u73af\u5883\u90fd\u81ea\u5e26pip\u5de5\u5177\u3002\u8981\u901a\u8fc7pip\u5b89\u88c5PyWavelets\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u6253\u5f00\u4f60\u7684\u547d\u4ee4\u884c\u5de5\u5177\uff08Windows\u4e0a\u7684\u547d\u4ee4\u63d0\u793a\u7b26\uff0cMac\u548cLinux\u4e0a\u7684\u7ec8\u7aef\uff09\u3002<\/li>\n<li>\u8f93\u5165\u547d\u4ee4\uff1a<code>pip install PyWavelets<\/code>\uff0c\u6309\u56de\u8f66\u952e\u3002<\/li>\n<\/ul>\n<p><p>\u8fd9\u4e2a\u547d\u4ee4\u4f1a\u4ecePython\u7684\u5b98\u65b9\u5305\u7d22\u5f15\uff08PyPI\uff09\u4e2d\u4e0b\u8f7d\u5e76\u5b89\u88c5PyWavelets\u5e93\u3002<\/p>\n<\/p>\n<p><h4>2. \u4f7f\u7528Anaconda\u5b89\u88c5<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u4f7f\u7528Anaconda\u4f5c\u4e3aPython\u53d1\u884c\u7248\uff0c\u53ef\u4ee5\u901a\u8fc7conda\u547d\u4ee4\u5b89\u88c5PyWavelets\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u6253\u5f00Anaconda Prompt\u3002<\/li>\n<li>\u8f93\u5165\u547d\u4ee4\uff1a<code>conda install pywavelets<\/code>\uff0c\u6309\u56de\u8f66\u952e\u3002<\/li>\n<\/ul>\n<p><p>Anaconda\u4f1a\u4ece\u5176\u81ea\u5df1\u7684\u5305\u7ba1\u7406\u7cfb\u7edf\u4e2d\u4e0b\u8f7d\u5e76\u5b89\u88c5PyWavelets\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f<\/h3>\n<\/p>\n<p><p>\u5728\u5b89\u88c5PyWavelets\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684Python\u4ee3\u7801\u6765\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywt<\/p>\n<p>print(pywt.__version__)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u9519\u8bef\u4fe1\u606f\u8f93\u51fa\uff0c\u5e76\u4e14\u6253\u5370\u51fa\u7248\u672c\u53f7\uff0c\u5219\u8bf4\u660ePyWavelets\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001PyWavelets\u7684\u57fa\u672c\u7528\u6cd5<\/h3>\n<\/p>\n<p><p>\u5728\u6210\u529f\u5b89\u88c5PyWavelets\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528\u8fd9\u4e2a\u5e93\u6765\u8fdb\u884c\u5c0f\u6ce2\u53d8\u6362\u3002\u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e9bPyWavelets\u7684\u57fa\u672c\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>1. \u4e00\u7ef4\u5c0f\u6ce2\u53d8\u6362<\/h4>\n<\/p>\n<p><p>\u4e00\u7ef4\u5c0f\u6ce2\u53d8\u6362\u662fPyWavelets\u4e2d\u6700\u57fa\u672c\u7684\u529f\u80fd\u4e4b\u4e00\uff0c\u9002\u7528\u4e8e\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u4e00\u7ef4\u5c0f\u6ce2\u53d8\u6362\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u4fe1\u53f7<\/strong><\/h2>\n<p>x = np.linspace(0, 1, num=100)<\/p>\n<p>signal = np.sin(2 * np.pi * 7 * x) + np.sin(2 * np.pi * 13 * x)<\/p>\n<h2><strong>\u8fdb\u884c\u4e00\u7ef4\u5c0f\u6ce2\u53d8\u6362<\/strong><\/h2>\n<p>coeffs = pywt.wavedec(signal, &#39;db1&#39;, level=2)<\/p>\n<h2><strong>coeffs\u5305\u542b\u4e86\u53d8\u6362\u540e\u7684\u7cfb\u6570<\/strong><\/h2>\n<p>print(coeffs)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u4e8c\u7ef4\u5c0f\u6ce2\u53d8\u6362<\/h4>\n<\/p>\n<p><p>PyWavelets\u4e5f\u652f\u6301\u4e8c\u7ef4\u5c0f\u6ce2\u53d8\u6362\uff0c\u5e38\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywt<\/p>\n<p>import numpy as np<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u7ef4\u4fe1\u53f7\uff08\u56fe\u50cf\uff09<\/strong><\/h2>\n<p>image = np.random.rand(256, 256)<\/p>\n<h2><strong>\u8fdb\u884c\u4e8c\u7ef4\u5c0f\u6ce2\u53d8\u6362<\/strong><\/h2>\n<p>coeffs2 = pywt.dwt2(image, &#39;haar&#39;)<\/p>\n<h2><strong>coeffs2\u5305\u542b\u4e86\u53d8\u6362\u540e\u7684\u7cfb\u6570<\/strong><\/h2>\n<p>cA, (cH, cV, cD) = coeffs2<\/p>\n<p>plt.subplot(2, 2, 1)<\/p>\n<p>plt.imshow(cA, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Approximation&#39;)<\/p>\n<p>plt.subplot(2, 2, 2)<\/p>\n<p>plt.imshow(cH, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Horizontal det<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>l&#39;)<\/p>\n<p>plt.subplot(2, 2, 3)<\/p>\n<p>plt.imshow(cV, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Vertical detail&#39;)<\/p>\n<p>plt.subplot(2, 2, 4)<\/p>\n<p>plt.imshow(cD, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Diagonal detail&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001PyWavelets\u7684\u9ad8\u7ea7\u5e94\u7528<\/h3>\n<\/p>\n<p><p>\u5728\u4e86\u89e3\u4e86\u57fa\u672c\u7528\u6cd5\u4e4b\u540e\uff0c\u53ef\u4ee5\u63a2\u7d22PyWavelets\u7684\u66f4\u591a\u9ad8\u7ea7\u5e94\u7528\u3002\u4e0b\u9762\u4ecb\u7ecd\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n<p><h4>1. \u4fe1\u53f7\u53bb\u566a<\/h4>\n<\/p>\n<p><p>\u4fe1\u53f7\u53bb\u566a\u662f\u5c0f\u6ce2\u53d8\u6362\u7684\u4e00\u4e2a\u91cd\u8981\u5e94\u7528\u3002\u901a\u8fc7\u5c0f\u6ce2\u53d8\u6362\uff0c\u53ef\u4ee5\u5c06\u4fe1\u53f7\u5206\u89e3\u4e3a\u4e0d\u540c\u5c3a\u5ea6\u7684\u5b50\u4fe1\u53f7\uff0c\u7136\u540e\u53bb\u9664\u566a\u58f0\u90e8\u5206\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4fe1\u53f7\u53bb\u566a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywt<\/p>\n<p>import numpy as np<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5e26\u566a\u58f0\u7684\u4fe1\u53f7<\/strong><\/h2>\n<p>x = np.linspace(0, 1, num=100)<\/p>\n<p>signal = np.sin(2 * np.pi * 7 * x) + np.sin(2 * np.pi * 13 * x)<\/p>\n<p>noise = np.random.normal(0, 0.1, signal.shape)<\/p>\n<p>noisy_signal = signal + noise<\/p>\n<h2><strong>\u8fdb\u884c\u5c0f\u6ce2\u53bb\u566a<\/strong><\/h2>\n<p>coeffs = pywt.wavedec(noisy_signal, &#39;db1&#39;, level=2)<\/p>\n<p>threshold = 0.2<\/p>\n<p>coeffs_thresh = [pywt.threshold(c, threshold, mode=&#39;soft&#39;) for c in coeffs]<\/p>\n<h2><strong>\u91cd\u5efa\u4fe1\u53f7<\/strong><\/h2>\n<p>denoised_signal = pywt.waverec(coeffs_thresh, &#39;db1&#39;)<\/p>\n<p>plt.figure()<\/p>\n<p>plt.plot(x, signal, label=&#39;Original Signal&#39;)<\/p>\n<p>plt.plot(x, noisy_signal, label=&#39;Noisy Signal&#39;)<\/p>\n<p>plt.plot(x, denoised_signal, label=&#39;Denoised Signal&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u6570\u636e\u538b\u7f29<\/h4>\n<\/p>\n<p><p>\u5c0f\u6ce2\u53d8\u6362\u4e5f\u5e38\u7528\u4e8e\u6570\u636e\u538b\u7f29\uff0c\u901a\u8fc7\u820d\u5f03\u4e0d\u91cd\u8981\u7684\u7cfb\u6570\u6765\u5b9e\u73b0\u538b\u7f29\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u56fe\u50cf\u538b\u7f29\u7684\u7b80\u5355\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pywt<\/p>\n<p>import numpy as np<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u4e8c\u7ef4\u4fe1\u53f7\uff08\u56fe\u50cf\uff09<\/strong><\/h2>\n<p>image = np.random.rand(256, 256)<\/p>\n<h2><strong>\u8fdb\u884c\u4e8c\u7ef4\u5c0f\u6ce2\u53d8\u6362<\/strong><\/h2>\n<p>coeffs2 = pywt.dwt2(image, &#39;haar&#39;)<\/p>\n<h2><strong>\u538b\u7f29\uff1a\u4fdd\u7559\u91cd\u8981\u7cfb\u6570<\/strong><\/h2>\n<p>cA, (cH, cV, cD) = coeffs2<\/p>\n<p>cH *= 0<\/p>\n<p>cV *= 0<\/p>\n<p>cD *= 0<\/p>\n<h2><strong>\u91cd\u5efa\u56fe\u50cf<\/strong><\/h2>\n<p>compressed_image = pywt.idwt2((cA, (cH, cV, cD)), &#39;haar&#39;)<\/p>\n<p>plt.subplot(1, 2, 1)<\/p>\n<p>plt.imshow(image, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Original Image&#39;)<\/p>\n<p>plt.subplot(1, 2, 2)<\/p>\n<p>plt.imshow(compressed_image, cmap=&#39;gray&#39;)<\/p>\n<p>plt.title(&#39;Compressed Image&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u89e3\u51b3\u65b9\u6848<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528PyWavelets\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u5bf9\u8fd9\u4e9b\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5\u5931\u8d25<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u5728\u4f7f\u7528pip\u6216conda\u5b89\u88c5PyWavelets\u65f6\u9047\u5230\u95ee\u9898\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u786e\u4fdd\u4f60\u7684Python\u7248\u672c\u652f\u6301PyWavelets\uff08\u901a\u5e38Python 3.x\u7248\u672c\u662f\u652f\u6301\u7684\uff09\u3002<\/li>\n<li>\u66f4\u65b0pip\u6216conda\u5230\u6700\u65b0\u7248\u672c\u3002<\/li>\n<li>\u68c0\u67e5\u7f51\u7edc\u8fde\u63a5\uff0c\u786e\u4fdd\u80fd\u591f\u8bbf\u95eePyPI\u6216Anaconda\u4ed3\u5e93\u3002<\/li>\n<\/ul>\n<p><h4>2. \u7248\u672c\u517c\u5bb9\u6027\u95ee\u9898<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u5728\u4f7f\u7528PyWavelets\u65f6\u9047\u5230\u7248\u672c\u517c\u5bb9\u6027\u95ee\u9898\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u6307\u5b9a\u5b89\u88c5\u67d0\u4e2a\u7248\u672c\u7684PyWavelets\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-shell\">pip install PyWavelets==1.1.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u4f7f\u7528\u95ee\u9898<\/h4>\n<\/p>\n<p><p>\u5728\u4f7f\u7528PyWavelets\u8fdb\u884c\u5c0f\u6ce2\u53d8\u6362\u65f6\uff0c\u5982\u679c\u9047\u5230\u95ee\u9898\uff0c\u53ef\u4ee5\u53c2\u8003\u4ee5\u4e0b\u5efa\u8bae\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u4ed4\u7ec6\u9605\u8bfbPyWavelets\u7684\u5b98\u65b9\u6587\u6863\uff0c\u4e86\u89e3\u5404\u4e2a\u51fd\u6570\u7684\u4f7f\u7528\u65b9\u6cd5\u3002<\/li>\n<li>\u4f7f\u7528<code>help(pywt)<\/code>\u67e5\u770bPyWavelets\u6a21\u5757\u4e2d\u51fd\u6570\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/li>\n<li>\u5728\u793e\u533a\u8bba\u575b\u6216Stack Overflow\u7b49\u5e73\u53f0\u4e0a\u5bfb\u6c42\u5e2e\u52a9\u3002<\/li>\n<\/ul>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>PyWavelets\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5c0f\u6ce2\u5206\u6790\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u4fe1\u53f7\u5904\u7406\u3001\u6570\u636e\u538b\u7f29\u548c\u53bb\u566a\u7b49\u9886\u57df\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86PyWavelets\u7684\u5b89\u88c5\u65b9\u6cd5\u3001\u57fa\u672c\u7528\u6cd5\u4ee5\u53ca\u4e00\u4e9b\u9ad8\u7ea7\u5e94\u7528\u573a\u666f\u3002\u5e0c\u671b\u901a\u8fc7\u8fd9\u4e9b\u4ecb\u7ecd\uff0c\u4f60\u80fd\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528PyWavelets\uff0c\u63d0\u5347\u4f60\u7684\u6570\u636e\u5206\u6790\u80fd\u529b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5PyWavelets\uff08pywt\uff09\u5e93\uff1f<\/strong><br \/>\u8981\u5b89\u88c5PyWavelets\uff08pywt\uff09\u5e93\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a<code>pip install PyWavelets<\/code>\u3002\u786e\u4fdd\u60a8\u7684Python\u73af\u5883\u5df2\u6b63\u786e\u914d\u7f6e\uff0c\u5e76\u4e14pip\u5df2\u66f4\u65b0\u5230\u6700\u65b0\u7248\u672c\uff0c\u4ee5\u907f\u514d\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u7684\u6f5c\u5728\u95ee\u9898\u3002<\/p>\n<p><strong>PyWavelets\uff08pywt\uff09\u5e93\u7684\u4e3b\u8981\u529f\u80fd\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>PyWavelets\u662f\u4e00\u4e2a\u7528\u4e8e\u5c0f\u6ce2\u53d8\u6362\u7684Python\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u529f\u80fd\uff0c\u5305\u62ec\u4e00\u7ef4\u3001\u4e8c\u7ef4\u548c\u4e09\u7ef4\u5c0f\u6ce2\u53d8\u6362\u3002\u5b83\u9002\u7528\u4e8e\u4fe1\u53f7\u5904\u7406\u3001\u56fe\u50cf\u5206\u6790\u548c\u6570\u636e\u538b\u7f29\u7b49\u9886\u57df\uff0c\u80fd\u591f\u5e2e\u52a9\u7528\u6237\u8fdb\u884c\u591a\u5206\u8fa8\u7387\u5206\u6790\u3001\u7279\u5f81\u63d0\u53d6\u548c\u53bb\u566a\u7b49\u64cd\u4f5c\u3002<\/p>\n<p><strong>\u5728\u5b89\u88c5PyWavelets\u540e\uff0c\u5982\u4f55\u9a8c\u8bc1\u5b83\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1f<\/strong><br \/>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u5728Python\u73af\u5883\u4e2d\u8f93\u5165<code>import pywt<\/code>\u6765\u9a8c\u8bc1\u5e93\u662f\u5426\u6210\u529f\u5b89\u88c5\u3002\u5982\u679c\u6ca1\u6709\u51fa\u73b0\u9519\u8bef\u6d88\u606f\uff0c\u60a8\u53ef\u4ee5\u8fd0\u884c<code>print(pywt.__version__)<\/code>\u6765\u67e5\u770b\u5f53\u524d\u5b89\u88c5\u7684\u7248\u672c\u53f7\uff0c\u786e\u8ba4\u5e93\u5df2\u6b63\u786e\u914d\u7f6e\u5e76\u53ef\u4f9b\u4f7f\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u5b89\u88c5PyWavelets\uff08\u7b80\u79f0\u4e3apywt\uff09\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u5305\u7ba1\u7406\u5668\uff0c\u5b83\u662fPython\u4e2d\u6700\u5e38\u7528 [&hellip;]","protected":false},"author":3,"featured_media":944113,"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\/944108"}],"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=944108"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944108\/revisions"}],"predecessor-version":[{"id":944116,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/944108\/revisions\/944116"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/944113"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=944108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=944108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=944108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}