{"id":940732,"date":"2024-12-26T21:09:28","date_gmt":"2024-12-26T13:09:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/940732.html"},"modified":"2024-12-26T21:09:30","modified_gmt":"2024-12-26T13:09:30","slug":"python%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8pykriging","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/940732.html","title":{"rendered":"python\u5982\u4f55\u4f7f\u7528pykriging"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25075240\/73e10904-8ba4-4622-945e-da19257332ed.webp\" alt=\"python\u5982\u4f55\u4f7f\u7528pykriging\" \/><\/p>\n<p><p> <strong>Python\u4f7f\u7528pyKriging\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u5b89\u88c5pyKriging\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u548c\u8bad\u7ec3Kriging\u6a21\u578b\u3001\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3001\u53ef\u89c6\u5316\u7ed3\u679c\u3002<\/strong>\u5728\u8fd9\u4e9b\u6b65\u9aa4\u4e2d\uff0c\u7279\u522b\u9700\u8981\u6ce8\u610f\u7684\u662f\u6570\u636e\u7684\u51c6\u5907\u548c\u6a21\u578b\u7684\u53c2\u6570\u8c03\u6574\u3002Kriging\u662f\u4e00\u79cd\u63d2\u503c\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5730\u7406\u7edf\u8ba1\u548c\u7a7a\u95f4\u5206\u6790\uff0c\u901a\u8fc7\u5bf9\u6570\u636e\u7684\u7a7a\u95f4\u81ea\u76f8\u5173\u6027\u8fdb\u884c\u5efa\u6a21\uff0c\u80fd\u591f\u5728\u5df2\u77e5\u6570\u636e\u70b9\u4e4b\u95f4\u8fdb\u884c\u9884\u6d4b\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u6bcf\u4e2a\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u5b89\u88c5pyKriging\u5e93<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528pyKriging\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pyKriging<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5efa\u8bae\u68c0\u67e5\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyKriging<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u6ca1\u6709\u9519\u8bef\u4fe1\u606f\uff0c\u5219\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u51c6\u5907\u6570\u636e<\/p>\n<\/p>\n<p><p>\u5728\u4f7f\u7528pyKriging\u8fdb\u884c\u5efa\u6a21\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u51c6\u5907\u597d\u6570\u636e\u3002Kriging\u65b9\u6cd5\u901a\u5e38\u7528\u4e8e\u7a7a\u95f4\u63d2\u503c\uff0c\u56e0\u6b64\u6570\u636e\u901a\u5e38\u5305\u542b\u4f4d\u7f6e\u5750\u6807\u548c\u76f8\u5e94\u7684\u6570\u503c\u3002\u6570\u636e\u53ef\u4ee5\u6765\u81ea\u4e8e\u5b9e\u9a8c\u6d4b\u91cf\u3001\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\uff08GIS\uff09\u6216\u5176\u4ed6\u6765\u6e90\u3002\u6570\u636e\u901a\u5e38\u4ee5\u4e8c\u7ef4\u6216\u4e09\u7ef4\u5f62\u5f0f\u5b58\u5728\uff0c\u6bcf\u4e2a\u6570\u636e\u70b9\u81f3\u5c11\u5e94\u5305\u542b\u4e00\u4e2a\u4f4d\u7f6e\u5750\u6807\u548c\u4e00\u4e2a\u6d4b\u91cf\u503c\u3002<\/p>\n<\/p>\n<p><p>\u786e\u4fdd\u6570\u636e\u7684\u8d28\u91cf\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u56e0\u4e3aKriging\u65b9\u6cd5\u5047\u8bbe\u6570\u636e\u5177\u6709\u7a7a\u95f4\u81ea\u76f8\u5173\u6027\u3002\u6570\u636e\u70b9\u4e0d\u5e94\u8fc7\u4e8e\u7a00\u758f\uff0c\u4e14\u5e94\u8986\u76d6\u5f85\u9884\u6d4b\u533a\u57df\u7684\u4e3b\u8981\u7279\u5f81\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u521b\u5efa\u548c\u8bad\u7ec3Kriging\u6a21\u578b<\/p>\n<\/p>\n<p><p>\u5728\u51c6\u5907\u597d\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u5f00\u59cb\u521b\u5efa\u548c\u8bad\u7ec3Kriging\u6a21\u578b\u3002\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165pyKriging\u5e93\uff0c\u5e76\u4f7f\u7528\u6570\u636e\u521d\u59cb\u5316\u6a21\u578b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from pyKriging.krige import kriging<\/p>\n<h2><strong>\u5047\u8bbeX\u4e3a\u8f93\u5165\u5750\u6807\uff0cy\u4e3a\u76f8\u5e94\u7684\u6d4b\u91cf\u503c<\/strong><\/h2>\n<p>X = [[0, 0], [1, 0], [0, 1], [1, 1]]<\/p>\n<p>y = [0, 1, 1, 0]<\/p>\n<h2><strong>\u521d\u59cb\u5316Kriging\u6a21\u578b<\/strong><\/h2>\n<p>model = kriging(X, y)<\/p>\n<h2><strong>\u8bad\u7ec3\u6a21\u578b<\/strong><\/h2>\n<p>model.tr<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8bad\u7ec3\u6a21\u578b\u65f6\uff0cpyKriging\u4f1a\u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u53c2\u6570\u8fdb\u884c\u8c03\u6574\uff0c\u4f46\u7528\u6237\u4e5f\u53ef\u4ee5\u6839\u636e\u9700\u8981\u624b\u52a8\u8c03\u6574\u53c2\u6570\u4ee5\u4f18\u5316\u6a21\u578b\u6027\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/p>\n<\/p>\n<p><p>\u8bad\u7ec3\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3002\u9884\u6d4b\u7684\u76ee\u6807\u662f\u4e3a\u672a\u77e5\u4f4d\u7f6e\u7684\u70b9\u4f30\u8ba1\u5176\u53ef\u80fd\u7684\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u9884\u6d4b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u5f85\u9884\u6d4b\u7684\u70b9<\/p>\n<p>predict_point = [0.5, 0.5]<\/p>\n<h2><strong>\u8fdb\u884c\u9884\u6d4b<\/strong><\/h2>\n<p>predicted_value = model.predict(predict_point)<\/p>\n<p>print(f&quot;Predicted value at {predict_point}: {predicted_value}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>pyKriging\u6a21\u578b\u4e0d\u4ec5\u53ef\u4ee5\u9884\u6d4b\u5355\u4e2a\u70b9\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u6279\u91cf\u9884\u6d4b\u548c\u751f\u6210\u9884\u6d4b\u7f51\u683c\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u53ef\u89c6\u5316\u7ed3\u679c<\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u548c\u5c55\u793aKriging\u6a21\u578b\u7684\u9884\u6d4b\u7ed3\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528\u53ef\u89c6\u5316\u5de5\u5177\u8fdb\u884c\u7ed3\u679c\u5c55\u793a\u3002Python\u4e2d\u6709\u591a\u4e2a\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5982matplotlib\u548cplotly\uff0c\u53ef\u4ee5\u5e2e\u52a9\u521b\u5efa\u4e8c\u7ef4\u548c\u4e09\u7ef4\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4f7f\u7528matplotlib\u7ed8\u5236\u9884\u6d4b\u7ed3\u679c\u7684\u7b80\u5355\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u751f\u6210\u7f51\u683c\u6570\u636e\u8fdb\u884c\u9884\u6d4b<\/strong><\/h2>\n<p>grid_x, grid_y = np.mgrid[0:1:100j, 0:1:100j]<\/p>\n<p>grid_points = np.c_[grid_x.ravel(), grid_y.ravel()]<\/p>\n<h2><strong>\u9884\u6d4b\u7f51\u683c\u70b9\u7684\u503c<\/strong><\/h2>\n<p>predicted_values = np.array([model.predict(point) for point in grid_points])<\/p>\n<p>predicted_values = predicted_values.reshape(grid_x.shape)<\/p>\n<h2><strong>\u7ed8\u5236\u9884\u6d4b\u7ed3\u679c<\/strong><\/h2>\n<p>plt.figure(figsize=(8, 6))<\/p>\n<p>plt.contourf(grid_x, grid_y, predicted_values, cmap=&#39;viridis&#39;)<\/p>\n<p>plt.colorbar(label=&#39;Predicted Value&#39;)<\/p>\n<p>plt.scatter(*zip(*X), c=&#39;red&#39;, marker=&#39;o&#39;, label=&#39;Original Data&#39;)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.title(&#39;Kriging Prediction&#39;)<\/p>\n<p>plt.xlabel(&#39;X Coordinate&#39;)<\/p>\n<p>plt.ylabel(&#39;Y Coordinate&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u60a8\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528pyKriging\u5e93\u8fdb\u884c\u7a7a\u95f4\u63d2\u503c\u5206\u6790\u3002Kriging\u65b9\u6cd5\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5bf9\u6570\u636e\u7a7a\u95f4\u81ea\u76f8\u5173\u6027\u7684\u654f\u611f\u6027\uff0c\u4f7f\u5176\u5728\u5730\u7406\u7edf\u8ba1\u548c\u73af\u5883\u79d1\u5b66\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u6839\u636e\u5177\u4f53\u6570\u636e\u60c5\u51b5\u8c03\u6574\u6a21\u578b\u53c2\u6570\uff0c\u4ee5\u83b7\u53d6\u6700\u4f73\u7684\u9884\u6d4b\u7ed3\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5b89\u88c5pykriging\u5e93\uff1f<\/strong><br \/>\u8981\u4f7f\u7528pykriging\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u73af\u5883\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u6765\u5b89\u88c5pykriging\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\uff1a  <\/p>\n<pre><code class=\"language-bash\">pip install pykriging\n<\/code><\/pre>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u5e93\uff0c\u5f00\u59cb\u4f7f\u7528\u3002<\/p>\n<p><strong>pykriging\u7684\u4e3b\u8981\u529f\u80fd\u548c\u5e94\u7528\u573a\u666f\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>pykriging\u662f\u4e00\u4e2a\u7528\u4e8e\u514b\u91cc\u91d1\u63d2\u503c\u7684Python\u5e93\uff0c\u5b83\u7684\u4e3b\u8981\u529f\u80fd\u5305\u62ec\u521b\u5efa\u548c\u8bc4\u4f30\u514b\u91cc\u91d1\u6a21\u578b\u3001\u8fdb\u884c\u7a7a\u95f4\u6570\u636e\u63d2\u503c\u548c\u4e0d\u786e\u5b9a\u6027\u5206\u6790\u3002\u8be5\u5e93\u9002\u7528\u4e8e\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\uff08GIS\uff09\u3001\u73af\u5883\u79d1\u5b66\u3001\u5de5\u7a0b\u8bbe\u8ba1\u7b49\u9886\u57df\uff0c\u5c24\u5176\u5728\u9700\u8981\u5904\u7406\u7a7a\u95f4\u6570\u636e\u548c\u8fdb\u884c\u9884\u6d4b\u5206\u6790\u7684\u573a\u5408\u3002<\/p>\n<p><strong>\u5982\u4f55\u4f7f\u7528pykriging\u8fdb\u884c\u7b80\u5355\u7684\u63d2\u503c\u64cd\u4f5c\uff1f<\/strong><br \/>\u5728\u4f7f\u7528pykriging\u8fdb\u884c\u63d2\u503c\u65f6\uff0c\u60a8\u9700\u8981\u51c6\u5907\u6570\u636e\u96c6\uff0c\u5305\u62ec\u5df2\u77e5\u70b9\u7684\u5750\u6807\u548c\u5bf9\u5e94\u7684\u503c\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u514b\u91cc\u91d1\u6a21\u578b\uff0c\u5e76\u8c03\u7528\u63d2\u503c\u51fd\u6570\u8fdb\u884c\u9884\u6d4b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">import pykriging\n\n# \u521b\u5efa\u5df2\u77e5\u70b9\u548c\u5bf9\u5e94\u503c\nknown_points = [[1, 1], [2, 2], [3, 3]]\nknown_values = [1.0, 2.0, 3.0]\n\n# \u521b\u5efa\u514b\u91cc\u91d1\u6a21\u578b\nmodel = pykriging.Kriging(known_points, known_values)\n\n# \u8fdb\u884c\u63d2\u503c\npredicted_value = model.predict([[1.5, 1.5]])\nprint(predicted_value)\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u4e2a\u793a\u4f8b\uff0c\u60a8\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u521b\u5efa\u514b\u91cc\u91d1\u6a21\u578b\u5e76\u8fdb\u884c\u7b80\u5355\u7684\u63d2\u503c\u64cd\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4f7f\u7528pyKriging\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u5b89\u88c5pyKriging\u5e93\u3001\u51c6\u5907\u6570\u636e\u3001\u521b\u5efa\u548c\u8bad\u7ec3Kriging [&hellip;]","protected":false},"author":3,"featured_media":940734,"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\/940732"}],"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=940732"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/940732\/revisions"}],"predecessor-version":[{"id":940738,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/940732\/revisions\/940738"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/940734"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=940732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=940732"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=940732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}