{"id":1152885,"date":"2025-01-13T17:31:24","date_gmt":"2025-01-13T09:31:24","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1152885.html"},"modified":"2025-01-13T17:31:26","modified_gmt":"2025-01-13T09:31:26","slug":"python%e5%a6%82%e4%bd%95%e5%ae%89%e8%a3%85scipy%e5%ba%93","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1152885.html","title":{"rendered":"python\u5982\u4f55\u5b89\u88c5scipy\u5e93"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25182739\/7979948d-ab0c-4c54-861a-055279d3502f.webp\" alt=\"python\u5982\u4f55\u5b89\u88c5scipy\u5e93\" \/><\/p>\n<p><p> <strong>Python\u5b89\u88c5Scipy\u5e93\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528pip\u5b89\u88c5\u3001\u4f7f\u7528conda\u5b89\u88c5\u3001\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5\u3002<\/strong> <\/p>\n<\/p>\n<p><p>\u5176\u4e2d\uff0c<strong>\u4f7f\u7528pip\u5b89\u88c5<\/strong>\u662f\u6700\u5e38\u7528\u4e14\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u786e\u4fdd\u5df2\u5b89\u88c5Python\u548cpip<\/strong>\uff1a\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>python --version<\/code>\u548c<code>pip --version<\/code>\uff0c\u68c0\u67e5\u662f\u5426\u5df2\u5b89\u88c5Python\u548cpip\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u8bf7\u5148\u5b89\u88c5Python\uff08\u53ef\u4ee5\u4ecePython\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7d\uff09\uff0cpip\u901a\u5e38\u4f1a\u968fPython\u4e00\u540c\u5b89\u88c5\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528pip\u5b89\u88c5Scipy<\/strong>\uff1a\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p> \u8fd9\u5c06\u81ea\u52a8\u4e0b\u8f7d\u5e76\u5b89\u88c5Scipy\u5e93\u53ca\u5176\u4f9d\u8d56\u9879\u3002\u5982\u679c\u4f60\u662f\u4f7f\u7528\u865a\u62df\u73af\u5883\uff0c\u53ef\u4ee5\u786e\u4fdd\u5e93\u5b89\u88c5\u5728\u865a\u62df\u73af\u5883\u4e2d\uff0c\u800c\u4e0d\u5f71\u54cd\u7cfb\u7edf\u7684\u5176\u4ed6Python\u9879\u76ee\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong>\uff1a\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u9a8c\u8bc1\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import scipy<\/p>\n<p>print(scipy.__version__)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p> \u5982\u679c\u6ca1\u6709\u62a5\u9519\u5e76\u663e\u793aScipy\u7684\u7248\u672c\u53f7\uff0c\u5219\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><h3>\u4e00\u3001PIP\u5b89\u88c5<\/h3>\n<\/p>\n<p><p><strong>1. \u786e\u4fdd\u5df2\u5b89\u88c5Python\u548cpip<\/strong><\/p>\n<\/p>\n<p><p>\u5728Windows\u3001macOS\u6216Linux\u4e2d\u6253\u5f00\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5Python\u548cpip\u7684\u5b89\u88c5\u60c5\u51b5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">python --version<\/p>\n<p>pip --version<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u5b89\u88c5Python\uff0c\u53ef\u4ee5\u4ece<a href=\"https:\/\/www.python.org\/downloads\/\">Python\u5b98\u65b9\u7f51\u7ad9<\/a>\u4e0b\u8f7d\u5e76\u5b89\u88c5\u3002\u5b89\u88c5Python\u65f6\uff0c\u8bb0\u5f97\u52fe\u9009\u201cAdd Python to PATH\u201d\u9009\u9879\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0cpip\u901a\u5e38\u4f1a\u81ea\u52a8\u5b89\u88c5\u5e76\u914d\u7f6e\u597d\u3002<\/p>\n<\/p>\n<p><p><strong>2. \u4f7f\u7528pip\u5b89\u88c5Scipy<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5Scipy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>pip\u4f1a\u81ea\u52a8\u5904\u7406\u4f9d\u8d56\u9879\u5e76\u5b89\u88c5Scipy\u3002\u5982\u679c\u4f60\u4f7f\u7528\u7684\u662f\u865a\u62df\u73af\u5883\uff0c\u786e\u4fdd\u5728\u6fc0\u6d3b\u865a\u62df\u73af\u5883\u540e\u8fd0\u884c\u6b64\u547d\u4ee4\u3002<\/p>\n<\/p>\n<p><p><strong>3. \u9a8c\u8bc1\u5b89\u88c5<\/strong><\/p>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0bPython\u4ee3\u7801\u9a8c\u8bc1Scipy\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import scipy<\/p>\n<p>print(scipy.__version__)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\u5e76\u663e\u793aScipy\u7684\u7248\u672c\u53f7\uff0c\u5219\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001CONDA\u5b89\u88c5<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u4f7f\u7528\u7684\u662fAnaconda\u6216Miniconda\uff0c\u53ef\u4ee5\u4f7f\u7528conda\u6765\u5b89\u88c5Scipy\u3002conda\u662f\u4e00\u4e2a\u5305\u7ba1\u7406\u7cfb\u7edf\u548c\u73af\u5883\u7ba1\u7406\u7cfb\u7edf\uff0c\u7279\u522b\u9002\u5408\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n<p><p><strong>1. \u786e\u4fdd\u5df2\u5b89\u88c5Anaconda\u6216Miniconda<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5conda\u7684\u5b89\u88c5\u60c5\u51b5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">conda --version<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u5b89\u88c5Anaconda\u6216Miniconda\uff0c\u53ef\u4ee5\u4ece<a href=\"https:\/\/www.anaconda.com\/products\/distribution\">Anaconda\u5b98\u65b9\u7f51\u7ad9<\/a>\u6216<a href=\"https:\/\/docs.conda.io\/en\/latest\/miniconda.html\">Miniconda\u5b98\u65b9\u7f51\u7ad9<\/a>\u4e0b\u8f7d\u5e76\u5b89\u88c5\u3002<\/p>\n<\/p>\n<p><p><strong>2. \u521b\u5efa\u5e76\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff08\u53ef\u9009\uff09<\/strong><\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u907f\u514d\u5305\u51b2\u7a81\uff0c\u5efa\u8bae\u521b\u5efa\u5e76\u6fc0\u6d3b\u4e00\u4e2a\u65b0\u7684\u865a\u62df\u73af\u5883\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">conda create --name myenv python=3.9<\/p>\n<p>conda activate myenv<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5c06<code>myenv<\/code>\u66ff\u6362\u4e3a\u4f60\u5e0c\u671b\u7684\u73af\u5883\u540d\u79f0\uff0c<code>3.9<\/code>\u66ff\u6362\u4e3a\u4f60\u5e0c\u671b\u7684Python\u7248\u672c\u3002<\/p>\n<\/p>\n<p><p><strong>3. \u4f7f\u7528conda\u5b89\u88c5Scipy<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u6fc0\u6d3b\u7684\u865a\u62df\u73af\u5883\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5Scipy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">conda install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>conda\u4f1a\u81ea\u52a8\u5904\u7406\u4f9d\u8d56\u9879\u5e76\u5b89\u88c5Scipy\u3002<\/p>\n<\/p>\n<p><p><strong>4. \u9a8c\u8bc1\u5b89\u88c5<\/strong><\/p>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0bPython\u4ee3\u7801\u9a8c\u8bc1Scipy\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import scipy<\/p>\n<p>print(scipy.__version__)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\u5e76\u663e\u793aScipy\u7684\u7248\u672c\u53f7\uff0c\u5219\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5Scipy\uff0c\u4f8b\u5982\u9700\u8981\u7279\u5b9a\u7248\u672c\u6216\u4fee\u6539\u6e90\u7801\u3002\u4ee5\u4e0b\u662f\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5Scipy\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<p><p><strong>1. \u5b89\u88c5\u7f16\u8bd1\u5de5\u5177\u548c\u4f9d\u8d56\u9879<\/strong><\/p>\n<\/p>\n<p><p>\u5728Windows\u4e0a\uff0c\u4f60\u9700\u8981\u5b89\u88c5Microsoft Visual C++ Build Tools\u3002\u5728macOS\u548cLinux\u4e0a\uff0c\u4f60\u9700\u8981\u5b89\u88c5\u7f16\u8bd1\u5668\u548c\u5176\u4ed6\u4f9d\u8d56\u9879\u3002\u4f8b\u5982\uff0c\u5728Ubuntu\u4e0a\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u4f9d\u8d56\u9879\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">sudo apt-get install build-essential python3-dev<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u4e0b\u8f7dScipy\u6e90\u4ee3\u7801<\/strong><\/p>\n<\/p>\n<p><p>\u4f60\u53ef\u4ee5\u4ece<a href=\"https:\/\/github.com\/scipy\/scipy\">Scipy GitHub\u4ed3\u5e93<\/a>\u514b\u9686\u6e90\u4ee3\u7801\uff0c\u6216\u4ece<a href=\"https:\/\/scipy.org\/install.html\">Scipy\u5b98\u65b9\u7f51\u7ad9<\/a>\u4e0b\u8f7d\u538b\u7f29\u5305\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528git\u514b\u9686\u4ed3\u5e93\u7684\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">git clone https:\/\/github.com\/scipy\/scipy.git<\/p>\n<p>cd scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u5b89\u88c5Scipy<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u4e0b\u8f7d\u5e76\u89e3\u538b\u6e90\u4ee3\u7801\u540e\uff0c\u8fdb\u5165Scipy\u76ee\u5f55\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5Scipy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install .<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u5c06\u4ece\u6e90\u7801\u7f16\u8bd1\u5e76\u5b89\u88c5Scipy\u3002<\/p>\n<\/p>\n<p><p><strong>4. \u9a8c\u8bc1\u5b89\u88c5<\/strong><\/p>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0bPython\u4ee3\u7801\u9a8c\u8bc1Scipy\u662f\u5426\u5b89\u88c5\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import scipy<\/p>\n<p>print(scipy.__version__)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\u5e76\u663e\u793aScipy\u7684\u7248\u672c\u53f7\uff0c\u5219\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5e38\u89c1\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848<\/h3>\n<\/p>\n<p><p>\u5728\u5b89\u88c5Scipy\u7684\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u53ca\u5176\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<\/p>\n<p><p><strong>1. pip\u5b89\u88c5\u5931\u8d25<\/strong><\/p>\n<\/p>\n<p><p>\u5982\u679c\u5728\u4f7f\u7528pip\u5b89\u88c5Scipy\u65f6\u9047\u5230\u9519\u8bef\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5347\u7ea7pip<\/strong>\uff1a\u786e\u4fdd\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684pip\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5347\u7ea7pip\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install --upgrade pip<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u5b89\u88c5wheel<\/strong>\uff1a\u5728\u5b89\u88c5Scipy\u4e4b\u524d\uff0c\u5148\u5b89\u88c5wheel\u5305\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5b89\u88c5\u6210\u529f\u7387\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install wheel<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528\u9884\u7f16\u8bd1\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6<\/strong>\uff1a\u6709\u65f6\u901a\u8fc7pip\u5b89\u88c5\u4f1a\u56e0\u4e3a\u7f16\u8bd1\u95ee\u9898\u5931\u8d25\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u5b89\u88c5\u9884\u7f16\u8bd1\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy --only-binary :all:<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><p><strong>2. \u4f9d\u8d56\u9879\u51b2\u7a81<\/strong><\/p>\n<\/p>\n<p><p>\u5982\u679c\u5728\u5b89\u88c5Scipy\u65f6\u9047\u5230\u4f9d\u8d56\u9879\u51b2\u7a81\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u4f7f\u7528\u865a\u62df\u73af\u5883<\/strong>\uff1a\u521b\u5efa\u5e76\u6fc0\u6d3b\u4e00\u4e2a\u65b0\u7684\u865a\u62df\u73af\u5883\uff0c\u53ef\u4ee5\u907f\u514d\u5305\u51b2\u7a81\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">python -m venv myenv<\/p>\n<p>source myenv\/bin\/activate  # \u5728Windows\u4e0a\u4f7f\u7528 myenv\\Scripts\\activate<\/p>\n<p>pip install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528conda<\/strong>\uff1aconda\u5728\u5904\u7406\u4f9d\u8d56\u9879\u65b9\u9762\u66f4\u4e3a\u5f3a\u5927\uff0c\u5efa\u8bae\u4f7f\u7528conda\u5b89\u88c5Scipy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">conda install scipy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><p><strong>3. \u7f16\u8bd1\u9519\u8bef<\/strong><\/p>\n<\/p>\n<p><p>\u5982\u679c\u5728\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5Scipy\u65f6\u9047\u5230\u7f16\u8bd1\u9519\u8bef\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4ee5\u4e0b\u89e3\u51b3\u65b9\u6848\uff1a<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5b89\u88c5\u7f16\u8bd1\u5de5\u5177<\/strong>\uff1a\u786e\u4fdd\u5df2\u5b89\u88c5\u5fc5\u8981\u7684\u7f16\u8bd1\u5de5\u5177\u548c\u4f9d\u8d56\u9879\u3002\u5728Windows\u4e0a\uff0c\u5b89\u88c5Microsoft Visual C++ Build Tools\u3002\u5728macOS\u548cLinux\u4e0a\uff0c\u5b89\u88c5\u76f8\u5e94\u7684\u7f16\u8bd1\u5668\u548c\u4f9d\u8d56\u9879\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u68c0\u67e5Python\u7248\u672c<\/strong>\uff1a\u786e\u4fdd\u4f7f\u7528\u7684Python\u7248\u672c\u4e0eScipy\u517c\u5bb9\u3002\u53ef\u4ee5\u53c2\u8003Scipy\u7684\u5b98\u65b9\u6587\u6863\u67e5\u770b\u652f\u6301\u7684Python\u7248\u672c\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4f7f\u7528\u9884\u7f16\u8bd1\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6<\/strong>\uff1a\u5982\u679c\u7f16\u8bd1\u5931\u8d25\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u4f7f\u7528\u9884\u7f16\u8bd1\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\u5b89\u88c5Scipy\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scipy --only-binary :all:<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u4e94\u3001Scipy\u7684\u57fa\u672c\u4f7f\u7528<\/h3>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528Scipy\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9bScipy\u7684\u57fa\u672c\u4f7f\u7528\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><p><strong>1. \u5bfc\u5165Scipy<\/strong><\/p>\n<\/p>\n<p><p>\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u5bfc\u5165Scipy\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import scipy<\/p>\n<p>import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u7ebf\u6027\u4ee3\u6570\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u7ebf\u6027\u4ee3\u6570\u6a21\u5757<code>scipy.linalg<\/code>\u63d0\u4f9b\u4e86\u8bb8\u591a\u7ebf\u6027\u4ee3\u6570\u8fd0\u7b97\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u77e9\u9635\u7684\u9006\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.linalg import inv<\/p>\n<p>A = np.array([[1, 2], [3, 4]])<\/p>\n<p>A_inv = inv(A)<\/p>\n<p>print(A_inv)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u7edf\u8ba1\u5206\u6790<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u7edf\u8ba1\u6a21\u5757<code>scipy.stats<\/code>\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7edf\u8ba1\u5206\u6790\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u6b63\u6001\u5206\u5e03\u7684\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.stats import norm<\/p>\n<p>x = np.linspace(-3, 3, 100)<\/p>\n<p>pdf = norm.pdf(x)<\/p>\n<p>print(pdf)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>4. \u63d2\u503c<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u63d2\u503c\u6a21\u5757<code>scipy.interpolate<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u63d2\u503c\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u4e00\u7ef4\u6837\u6761\u63d2\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.interpolate import interp1d<\/p>\n<p>x = np.linspace(0, 10, 10)<\/p>\n<p>y = np.sin(x)<\/p>\n<p>f = interp1d(x, y, kind=&#39;cubic&#39;)<\/p>\n<p>x_new = np.linspace(0, 10, 100)<\/p>\n<p>y_new = f(x_new)<\/p>\n<p>print(y_new)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>5. \u4f18\u5316<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u4f18\u5316\u6a21\u5757<code>scipy.optimize<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u4f18\u5316\u7b97\u6cd5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u6700\u5c0f\u4e8c\u4e58\u6cd5\u62df\u5408\u66f2\u7ebf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.optimize import curve_fit<\/p>\n<p>def func(x, a, b, c):<\/p>\n<p>    return a * np.exp(-b * x) + c<\/p>\n<p>x = np.linspace(0, 4, 50)<\/p>\n<p>y = func(x, 2.5, 1.3, 0.5) + 0.2 * np.random.normal(size=len(x))<\/p>\n<p>popt, pcov = curve_fit(func, x, y)<\/p>\n<p>print(popt)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001Scipy\u7684\u9ad8\u7ea7\u5e94\u7528<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u672c\u529f\u80fd\uff0cScipy\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u5e94\u7528\uff0c\u9002\u7528\u4e8e\u66f4\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\u9700\u6c42\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u9ad8\u7ea7\u5e94\u7528\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><p><strong>1. \u6570\u503c\u79ef\u5206<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u79ef\u5206\u6a21\u5757<code>scipy.integrate<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u503c\u79ef\u5206\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u9ad8\u65af-\u514b\u6717\u7f57\u5fb7\u6cd5\u8fdb\u884c\u4e00\u7ef4\u79ef\u5206\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.integrate import quad<\/p>\n<p>def integrand(x):<\/p>\n<p>    return x2<\/p>\n<p>result, error = quad(integrand, 0, 1)<\/p>\n<p>print(result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u5fae\u5206\u65b9\u7a0b\u6c42\u89e3<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u79ef\u5206\u6a21\u5757<code>scipy.integrate<\/code>\u8fd8\u63d0\u4f9b\u4e86\u5e38\u5fae\u5206\u65b9\u7a0b\uff08ODE\uff09\u7684\u6c42\u89e3\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u6c42\u89e3\u7b80\u5355\u7684ODE\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.integrate import solve_ivp<\/p>\n<p>def dydt(t, y):<\/p>\n<p>    return -2 * y<\/p>\n<p>t_span = (0, 5)<\/p>\n<p>y0 = [1]<\/p>\n<p>sol = solve_ivp(dydt, t_span, y0)<\/p>\n<p>print(sol.t)<\/p>\n<p>print(sol.y)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u4fe1\u53f7\u5904\u7406<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u4fe1\u53f7\u5904\u7406\u6a21\u5757<code>scipy.signal<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u4fe1\u53f7\u5904\u7406\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u8bbe\u8ba1\u548c\u5e94\u7528\u5e26\u901a\u6ee4\u6ce2\u5668\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.signal import butter, filtfilt<\/p>\n<p>def butter_bandpass(lowcut, highcut, fs, order=5):<\/p>\n<p>    nyq = 0.5 * fs<\/p>\n<p>    low = lowcut \/ nyq<\/p>\n<p>    high = highcut \/ nyq<\/p>\n<p>    b, a = butter(order, [low, high], btype=&#39;band&#39;)<\/p>\n<p>    return b, a<\/p>\n<p>def butter_bandpass_filter(data, lowcut, highcut, fs, order=5):<\/p>\n<p>    b, a = butter_bandpass(lowcut, highcut, fs, order=order)<\/p>\n<p>    y = filtfilt(b, a, data)<\/p>\n<p>    return y<\/p>\n<p>fs = 500.0<\/p>\n<p>lowcut = 50.0<\/p>\n<p>highcut = 150.0<\/p>\n<p>t = np.linspace(0, 1, int(fs), endpoint=False)<\/p>\n<p>x = np.sin(1.2 * 2 * np.pi * t) + 1.5 * np.cos(9 * 2 * np.pi * t) + 0.5 * np.sin(12.0 * 2 * np.pi * t)<\/p>\n<p>y = butter_bandpass_filter(x, lowcut, highcut, fs)<\/p>\n<p>print(y)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>4. \u7a00\u758f\u77e9\u9635<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u7a00\u758f\u77e9\u9635\u6a21\u5757<code>scipy.sparse<\/code>\u63d0\u4f9b\u4e86\u9ad8\u6548\u5b58\u50a8\u548c\u64cd\u4f5c\u7a00\u758f\u77e9\u9635\u7684\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u548c\u64cd\u4f5c\u7a00\u758f\u77e9\u9635\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.sparse import csr_matrix<\/p>\n<p>A = np.array([[0, 0, 1], [1, 0, 0], [0, 1, 0]])<\/p>\n<p>A_sparse = csr_matrix(A)<\/p>\n<p>print(A_sparse)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>5. \u56fe\u50cf\u5904\u7406<\/strong><\/p>\n<\/p>\n<p><p>Scipy\u7684\u56fe\u50cf\u5904\u7406\u6a21\u5757<code>scipy.ndimage<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u5e94\u7528\u9ad8\u65af\u6ee4\u6ce2\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.ndimage import gaussian_filter<\/p>\n<p>image = np.random.random((100, 100))<\/p>\n<p>filtered_image = gaussian_filter(image, sigma=1)<\/p>\n<p>print(filtered_image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001Scipy\u5728\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n<p><p>Scipy\u5728\u79d1\u5b66\u7814\u7a76\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\uff0c\u6db5\u76d6\u4e86\u7269\u7406\u5b66\u3001\u5316\u5b66\u3001\u751f\u7269\u5b66\u3001\u5de5\u7a0b\u5b66\u7b49\u591a\u4e2a\u9886\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5177\u4f53\u7684\u5e94\u7528\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><p><strong>1. \u7269\u7406\u5b66<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u7269\u7406\u5b66\u7814\u7a76\u4e2d\uff0cScipy\u5e38\u7528\u4e8e\u6570\u636e\u5206\u6790\u3001\u6570\u503c\u6a21\u62df\u548c\u5b9e\u9a8c\u6570\u636e\u5904\u7406\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Scipy\u5206\u6790\u5b9e\u9a8c\u6570\u636e\u5e76\u62df\u5408\u66f2\u7ebf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u751f\u6210\u6a21\u62df\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = 3.0 * np.sin(1.5 * x) + np.random.normal(size=100)<\/p>\n<h2><strong>\u5b9a\u4e49\u62df\u5408\u51fd\u6570<\/strong><\/h2>\n<p>def fit_func(x, a, b):<\/p>\n<p>    return a * np.sin(b * x)<\/p>\n<h2><strong>\u4f7f\u7528curve_fit\u8fdb\u884c\u62df\u5408<\/strong><\/h2>\n<p>params, _ = curve_fit(fit_func, x, y)<\/p>\n<p>a, b = params<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e\u548c\u62df\u5408\u66f2\u7ebf<\/strong><\/h2>\n<p>plt.scatter(x, y, label=&#39;Data&#39;)<\/p>\n<p>plt.plot(x, fit_func(x, a, b), label=&#39;Fitted curve&#39;, color=&#39;red&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>2. \u5316\u5b66<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u5316\u5b66\u7814\u7a76\u4e2d\uff0cScipy\u5e38\u7528\u4e8e\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u3001\u5149\u8c31\u5206\u6790\u548c\u53cd\u5e94\u52a8\u529b\u5b66\u7814\u7a76\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Scipy\u8fdb\u884c\u5149\u8c31\u6570\u636e\u5904\u7406\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.signal import find_peaks<\/p>\n<h2><strong>\u751f\u6210\u6a21\u62df\u5149\u8c31\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 20, 1000)<\/p>\n<p>y = np.sin(x) + 0.5 * np.random.normal(size=1000)<\/p>\n<h2><strong>\u4f7f\u7528find_peaks\u68c0\u6d4b\u5cf0\u503c<\/strong><\/h2>\n<p>peaks, _ = find_peaks(y, height=0)<\/p>\n<h2><strong>\u7ed8\u5236\u5149\u8c31\u6570\u636e\u548c\u5cf0\u503c<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<p>plt.plot(x[peaks], y[peaks], &#39;x&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>3. \u751f\u7269\u5b66<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u751f\u7269\u5b66\u7814\u7a76\u4e2d\uff0cScipy\u5e38\u7528\u4e8e\u57fa\u56e0\u5e8f\u5217\u5206\u6790\u3001\u56fe\u50cf\u5904\u7406\u548c\u7edf\u8ba1\u5206\u6790\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Scipy\u8fdb\u884c\u57fa\u56e0\u5e8f\u5217\u6bd4\u5bf9\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.spatial.distance import pdist, squareform<\/p>\n<h2><strong>\u751f\u6210\u6a21\u62df\u57fa\u56e0\u5e8f\u5217<\/strong><\/h2>\n<p>sequences = [&#39;AGCT&#39;, &#39;AGGT&#39;, &#39;TGCT&#39;, &#39;AGCT&#39;]<\/p>\n<h2><strong>\u5b9a\u4e49\u8ddd\u79bb\u51fd\u6570<\/strong><\/h2>\n<p>def hamming_distance(seq1, seq2):<\/p>\n<p>    return sum(c1 != c2 for c1, c2 in zip(seq1, seq2))<\/p>\n<h2><strong>\u8ba1\u7b97\u8ddd\u79bb\u77e9\u9635<\/strong><\/h2>\n<p>distance_matrix = squareform(pdist(sequences, metric=hamming_distance))<\/p>\n<p>print(distance_matrix)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>4. \u5de5\u7a0b\u5b66<\/strong><\/p>\n<\/p>\n<p><p>\u5728\u5de5\u7a0b\u5b66\u7814\u7a76\u4e2d\uff0cScipy\u5e38\u7528\u4e8e\u4fe1\u53f7\u5904\u7406\u3001\u7cfb\u7edf\u5efa\u6a21\u548c\u4f18\u5316\u8bbe\u8ba1\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Scipy\u8fdb\u884c\u7ed3\u6784\u4f18\u5316\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from scipy.optimize import minimize<\/p>\n<h2><strong>\u5b9a\u4e49\u76ee\u6807\u51fd\u6570<\/strong><\/h2>\n<p>def objective(x):<\/p>\n<p>    return x[0]&lt;strong&gt;2 + x[1]&lt;\/strong&gt;2<\/p>\n<h2><strong>\u5b9a\u4e49\u7ea6\u675f<\/strong><\/h2>\n<p>constr<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>nts = ({&#39;type&#39;: &#39;eq&#39;, &#39;fun&#39;: lambda x: x[0] + x[1] - 1})<\/p>\n<h2><strong>\u6267\u884c\u4f18\u5316<\/strong><\/h2>\n<p>result = minimize(objective, [0.5, 0.5], constraints=constraints)<\/p>\n<p>print(result.x)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001Scipy\u4e0e\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\u7684\u5bf9\u6bd4<\/h3>\n<\/p>\n<p><p>Scipy\u4e0e\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\uff08\u5982NumPy\u3001Pandas\u3001Matplotlib\u7b49\uff09\u6709\u5f88\u591a\u4ea4\u96c6\uff0c\u4f46\u5b83\u4eec\u5404\u6709\u4fa7\u91cd\u3002\u4ee5\u4e0b\u662fScipy\u4e0e\u5176\u4ed6\u79d1\u5b66\u8ba1\u7b97\u5e93\u7684\u5bf9\u6bd4\uff1a<\/p>\n<\/p>\n<p><p><strong>1. Scipy\u4e0eNumPy<\/strong><\/p>\n<\/p>\n<p><p>NumPy\u662fPython\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u548c\u57fa\u672c\u7684\u6570\u5b66\u51fd\u6570\u3002Scipy\u5728NumPy\u7684\u57fa\u7840\u4e0a\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u79d1\u5b66\u8ba1\u7b97\u529f\u80fd\uff0c\u5982\u7ebf\u6027\u4ee3\u6570\u3001\u4f18\u5316\u3001\u4fe1\u53f7\u5904\u7406\u7b49\u3002<strong>Scipy\u4f9d\u8d56\u4e8eNumPy<\/strong>\uff0c\u5e76\u6269\u5c55\u4e86\u5176\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p><strong>2. Scipy\u4e0ePandas<\/strong><\/p>\n<\/p>\n<p><p>Pandas\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\uff08\u5982DataFrame\uff09\u548c\u6570\u636e\u64cd\u4f5c\u529f\u80fd\u3002Scipy\u5219\u66f4\u4fa7\u91cd\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u503c\u5206\u6790\u3002<strong>\u5728\u6570\u636e\u5206\u6790\u5de5\u4f5c\u6d41\u4e2d\uff0cPandas\u5e38\u4e0eScipy\u7ed3\u5408\u4f7f\u7528<\/strong>\uff0cPandas\u7528\u4e8e\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\uff0cScipy\u7528\u4e8e\u9ad8\u7ea7\u5206\u6790\u548c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<p><p><strong>3. Scipy\u4e0eMatplotlib<\/strong><\/p>\n<\/p>\n<p><p>Matplotlib\u662fPython\u7684\u7ed8\u56fe\u5e93\uff0c\u7528\u4e8e\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u548c\u53ef\u89c6\u5316\u3002Scipy\u4e0d\u63d0\u4f9b\u7ed8\u56fe\u529f\u80fd\uff0c\u4f46\u5e38\u4e0eMatplotlib\u7ed3\u5408\u4f7f\u7528\uff0c<strong>\u5728\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u540e\uff0c\u4f7f\u7528Matplotlib\u8fdb\u884c\u7ed3\u679c\u53ef\u89c6\u5316<\/strong>\u3002<\/p>\n<\/p>\n<p><p><strong>4. Scipy\u4e0eSciKit-Learn<\/strong><\/p>\n<\/p>\n<p><p>SciKit-Learn\u662fPython\u7684<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u5de5\u5177\u3002Scipy\u4e3b\u8981\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u503c\u5206\u6790\uff0c<strong>\u5728\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u6d41\u4e2d\uff0cScipy\u5e38\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u3001\u7279\u5f81\u63d0\u53d6\u548c\u6a21\u578b\u8bc4\u4f30<\/strong>\uff0cSciKit-L<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u68c0\u67e5\u6211\u7684Python\u7248\u672c\u4ee5\u786e\u4fdd\u4e0eSciPy\u517c\u5bb9\uff1f<\/strong><br \/>\u8981\u68c0\u67e5\u60a8\u7684Python\u7248\u672c\uff0c\u60a8\u53ef\u4ee5\u5728\u547d\u4ee4\u884c\u6216\u7ec8\u7aef\u4e2d\u8f93\u5165<code>python --version<\/code>\u6216<code>python3 --version<\/code>\u3002SciPy\u901a\u5e38\u652f\u6301Python 3.6\u53ca\u4ee5\u4e0a\u7248\u672c\u3002\u786e\u4fdd\u60a8\u7684Python\u7248\u672c\u7b26\u5408SciPy\u7684\u8981\u6c42\uff0c\u4ee5\u907f\u514d\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u517c\u5bb9\u6027\u95ee\u9898\u3002<\/p>\n<p><strong>\u5728\u4e0d\u540c\u7684\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u5b89\u88c5SciPy\u7684\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\u5728Windows\u4e0a\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Anaconda\u5b89\u88c5SciPy\uff0c\u65b9\u6cd5\u662f\u6253\u5f00Anaconda Prompt\u5e76\u8f93\u5165<code>conda install scipy<\/code>\u3002\u5728macOS\u548cLinux\u4e0a\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pip\u5b89\u88c5\uff0c\u547d\u4ee4\u4e3a<code>pip install scipy<\/code>\u3002\u65e0\u8bba\u60a8\u4f7f\u7528\u54ea\u4e2a\u64cd\u4f5c\u7cfb\u7edf\uff0c\u786e\u4fdd\u60a8\u7684pip\u548csetuptools\u90fd\u662f\u6700\u65b0\u7684\uff0c\u4ee5\u786e\u4fdd\u987a\u5229\u5b89\u88c5\u3002<\/p>\n<p><strong>\u5982\u679c\u5728\u5b89\u88c5SciPy\u65f6\u9047\u5230\u9519\u8bef\uff0c\u5982\u4f55\u89e3\u51b3\uff1f<\/strong><br \/>\u9047\u5230\u5b89\u88c5\u9519\u8bef\u65f6\uff0c\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u66f4\u65b0pip\uff0c\u547d\u4ee4\u4e3a<code>pip install --upgrade pip<\/code>\u3002\u786e\u4fdd\u60a8\u7684\u7cfb\u7edf\u5b89\u88c5\u4e86\u6240\u6709\u5fc5\u8981\u7684\u4f9d\u8d56\u9879\uff0c\u5982NumPy\uff0c\u56e0\u4e3aSciPy\u9700\u8981\u5b83\u4f5c\u4e3a\u57fa\u7840\u5e93\u3002\u5982\u679c\u95ee\u9898\u4f9d\u7136\u5b58\u5728\uff0c\u53ef\u4ee5\u67e5\u770b\u9519\u8bef\u4fe1\u606f\uff0c\u5c1d\u8bd5\u5728\u7f51\u4e0a\u641c\u7d22\u89e3\u51b3\u65b9\u6848\uff0c\u6216\u8bbf\u95eeSciPy\u7684GitHub\u9875\u9762\u67e5\u770b\u5e38\u89c1\u95ee\u9898\u89e3\u7b54\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5b89\u88c5Scipy\u5e93\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528pip\u5b89\u88c5\u3001\u4f7f\u7528conda\u5b89\u88c5\u3001\u4ece\u6e90\u4ee3\u7801\u5b89\u88c5\u3002 \u5176\u4e2d\uff0c\u4f7f\u7528pip\u5b89 [&hellip;]","protected":false},"author":3,"featured_media":1152887,"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\/1152885"}],"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=1152885"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1152885\/revisions"}],"predecessor-version":[{"id":1152891,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1152885\/revisions\/1152891"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1152887"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1152885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1152885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1152885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}