{"id":949596,"date":"2024-12-27T00:14:23","date_gmt":"2024-12-26T16:14:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/949596.html"},"modified":"2024-12-27T00:14:26","modified_gmt":"2024-12-26T16:14:26","slug":"python%e5%a6%82%e4%bd%95%e6%89%93%e5%87%ba%e6%b4%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/949596.html","title":{"rendered":"python\u5982\u4f55\u6253\u51fa\u6d3e"},"content":{"rendered":"

\"python\u5982\u4f55\u6253\u51fa\u6d3e\"<\/p>\n

Python\u4e2d\u8ba1\u7b97\u5706\u5468\u7387\uff08\u03c0\uff09\u7684\u5e38\u7528\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u6570\u5b66\u5e93\u7684\u5e38\u91cf\u3001\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528\u6570\u5b66\u5e93\u7684\u5e38\u91cf\u662f\u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u800c\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u548c\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u63d0\u4f9b\u4e86\u8ba1\u7b97\u03c0\u7684\u57fa\u7840\u7406\u89e3\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u6bcf\u79cd\u65b9\u6cd5\u7684\u5b9e\u73b0\u53ca\u5176\u4f18\u7f3a\u70b9\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528MATH\u5e93\u8ba1\u7b97\u03c0<\/p>\n<\/p>\n

Python\u7684\u6807\u51c6\u5e93math<\/code>\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5e38\u91cfmath.pi<\/code>\uff0c\u53ef\u4ee5\u76f4\u63a5\u83b7\u53d6\u03c0\u7684\u503c\u3002\u8fd9\u662f\u83b7\u53d6\u03c0\u503c\u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u4e0d\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u8ba1\u7b97\u3002<\/p>\n<\/p>\n

import math<\/p>\n
pi_value = math.pi<\/p>\n
print(pi_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f18\u70b9\uff1a<\/strong>\u7b80\u5355\u6613\u7528\u3001\u7cbe\u5ea6\u9ad8\uff0c\u9002\u5408\u5927\u591a\u6570\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n
\u7f3a\u70b9\uff1a<\/strong>\u65e0\u6cd5\u81ea\u5b9a\u4e49\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528NUMPY\u5e93\u8ba1\u7b97\u03c0<\/p>\n<\/p>\n
\u4e0emath<\/code>\u5e93\u7c7b\u4f3c\uff0cnumpy<\/code>\u5e93\u4e5f\u63d0\u4f9b\u4e86\u03c0\u7684\u5e38\u91cf\u503c\u3002numpy<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u9002\u5408\u9700\u8981\u8fdb\u884c\u5927\u91cf\u6570\u5b66\u8fd0\u7b97\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
pi_value = np.pi<\/p>\n
print(pi_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f18\u70b9\uff1a<\/strong>\u4e0emath<\/code>\u5e93\u7c7b\u4f3c\uff0c\u7b80\u5355\u4e14\u7cbe\u786e\u3002<\/p>\n<\/p>\n
\u7f3a\u70b9\uff1a<\/strong>\u9700\u8981\u5b89\u88c5numpy<\/code>\u5e93\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u8499\u7279\u5361\u6d1b\u65b9\u6cd5<\/p>\n<\/p>\n
\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u662f\u4e00\u79cd\u57fa\u4e8e\u968f\u673a\u6570\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u4f30\u7b97<\/a>\u03c0\u7684\u503c\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u57fa\u672c\u601d\u60f3\u662f\u901a\u8fc7\u968f\u673a\u751f\u6210\u70b9\u6765\u6a21\u62df\u5706\u4e0e\u65b9\u5f62\u533a\u57df\u7684\u9762\u79ef\u6bd4\u4f8b\u3002<\/p>\n<\/p>\n
    \n
  1. \u5728\u4e00\u4e2a\u5355\u4f4d\u6b63\u65b9\u5f62\u5185\u968f\u673a\u751f\u6210\u70b9\u3002<\/li>\n
  2. \u8ba1\u7b97\u8fd9\u4e9b\u70b9\u4e2d\u843d\u5728\u5355\u4f4d\u5706\uff08\u534a\u5f84\u4e3a1\u7684\u5706\uff09\u5185\u7684\u6bd4\u4f8b\u3002<\/li>\n
  3. \u7528\u8fd9\u4e2a\u6bd4\u4f8b\u6765\u4f30\u7b97\u03c0\u7684\u503c\u3002<\/li>\n<\/ol>\n
    import random<\/p>\n
    def monte_carlo_pi(num_samples):<\/p>\n
        inside_circle = 0<\/p>\n
        for _ in range(num_samples):<\/p>\n
            x = random.random()<\/p>\n
            y = random.random()<\/p>\n
            if x<strong>2 + y<\/strong>2 <= 1:<\/p>\n
                inside_circle += 1<\/p>\n
        return (inside_circle \/ num_samples) * 4<\/p>\n
    pi_estimate = monte_carlo_pi(1000000)<\/p>\n
    print(pi_estimate)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4f18\u70b9\uff1a<\/strong>\u7b80\u5355\u6613\u5b9e\u73b0\uff0c\u9002\u7528\u4e8e\u5e76\u884c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
    \u7f3a\u70b9\uff1a<\/strong>\u6536\u655b\u901f\u5ea6\u6162\uff0c\u9700\u8981\u5927\u91cf\u6837\u672c\u624d\u80fd\u8fbe\u5230\u8f83\u9ad8\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n
    \u56db\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f<\/p>\n<\/p>\n
    \u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u662f\u901a\u8fc7\u65e0\u7a77\u7ea7\u6570\u6765\u8ba1\u7b97\u03c0\u7684\uff0c\u8fd9\u4e2a\u516c\u5f0f\u7684\u57fa\u672c\u5f62\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
    \u03c0 = 4 * (1 – 1\/3 + 1\/5 – 1\/7 + 1\/9 – …)<\/p>\n<\/p>\n
    def leibniz_pi(num_terms):<\/p>\n
        pi_estimate = 0<\/p>\n
        for k in range(num_terms):<\/p>\n
            pi_estimate += ((-1)k) \/ (2*k + 1)<\/p>\n
        return 4 * pi_estimate<\/p>\n
    pi_estimate = leibniz_pi(1000000)<\/p>\n
    print(pi_estimate)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4f18\u70b9\uff1a<\/strong>\u7b80\u5355\uff0c\u6613\u4e8e\u7406\u89e3\u5176\u6570\u5b66\u539f\u7406\u3002<\/p>\n<\/p>\n
    \u7f3a\u70b9\uff1a<\/strong>\u6536\u655b\u975e\u5e38\u6162\uff0c\u9700\u8981\u5927\u91cf\u9879\u624d\u80fd\u8fbe\u5230\u8f83\u9ad8\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n
    \u4e94\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\uff08BBP\u516c\u5f0f\uff09<\/p>\n<\/p>\n
    BBP\u516c\u5f0f\u662f\u4e00\u79cd\u5feb\u901f\u8ba1\u7b97\u03c0\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u76f4\u63a5\u8ba1\u7b97\u03c0\u7684\u4efb\u610f\u4f4d\u6570\uff0c\u800c\u4e0d\u9700\u8981\u8ba1\u7b97\u524d\u9762\u7684\u4f4d\u6570\u3002<\/p>\n<\/p>\n
    def bbp_pi(num_terms):<\/p>\n
        pi_estimate = 0<\/p>\n
        for k in range(num_terms):<\/p>\n
            pi_estimate += (1 \/ (16k)) * (<\/p>\n
                4 \/ (8*k + 1) -<\/p>\n
                2 \/ (8*k + 4) -<\/p>\n
                1 \/ (8*k + 5) -<\/p>\n
                1 \/ (8*k + 6)<\/p>\n
            )<\/p>\n
        return pi_estimate<\/p>\n
    pi_estimate = bbp_pi(100)<\/p>\n
    print(pi_estimate)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4f18\u70b9\uff1a<\/strong>\u6536\u655b\u5feb\uff0c\u53ef\u4ee5\u8ba1\u7b97\u03c0\u7684\u4efb\u610f\u4f4d\u6570\u3002<\/p>\n<\/p>\n
    \u7f3a\u70b9\uff1a<\/strong>\u5b9e\u73b0\u8f83\u4e3a\u590d\u6742\u3002<\/p>\n<\/p>\n
    \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
    \u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u4ee5\u591a\u79cd\u65b9\u5f0f\u8ba1\u7b97\u5706\u5468\u7387\uff08\u03c0\uff09\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u65e5\u5e38\u5e94\u7528\uff0c\u4f7f\u7528math.pi<\/code>\u6216numpy.pi<\/code>\u662f\u6700\u7b80\u5355\u6709\u6548\u7684\u9009\u62e9\u3002<\/strong>\u82e5\u9700\u8981\u6df1\u5165\u7406\u89e3\u03c0\u7684\u8ba1\u7b97\uff0c\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u548c\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u63d0\u4f9b\u4e86\u826f\u597d\u7684\u5b9e\u8df5\u673a\u4f1a\uff0c\u800cBBP\u516c\u5f0f\u9002\u5408\u9700\u8981\u9ad8\u7cbe\u5ea6\u548c\u7279\u5b9a\u4f4d\u6570\u7684\u573a\u666f\u3002\u5728\u9009\u62e9\u65b9\u6cd5\u65f6\uff0c\u5e94\u6839\u636e\u5177\u4f53\u7684\u5e94\u7528\u9700\u6c42\u548c\u8ba1\u7b97\u8d44\u6e90\u8fdb\u884c\u6743\u8861\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python\u4e2d\u6253\u5370\u51fa\u201c\u6d3e\u201d\u5b57\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528print()<\/code>\u51fd\u6570\u76f4\u63a5\u8f93\u51fa\u6c49\u5b57\uff0c\u5305\u62ec\u201c\u6d3e\u201d\u5b57\u3002\u53ea\u9700\u5c06\u201c\u6d3e\u201d\u4f5c\u4e3a\u5b57\u7b26\u4e32\u4f20\u5165\u8be5\u51fd\u6570\u5373\u53ef\uff0c\u4f8b\u5982\uff1aprint("\u6d3e")<\/code>\u3002\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u652f\u6301Unicode\u5b57\u7b26\uff0c\u8fd9\u6837\u624d\u80fd\u6b63\u786e\u663e\u793a\u6c49\u5b57\u3002<\/p>\n
    \u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u4e2d\u6587\u5b57\u7b26\u7f16\u7801\uff1f<\/strong>
    \u5904\u7406\u4e2d\u6587\u5b57\u7b26\u65f6\uff0c\u786e\u4fdd\u4f7f\u7528\u5408\u9002\u7684\u7f16\u7801\u65b9\u5f0f\u3002Python 3\u9ed8\u8ba4\u4f7f\u7528UTF-8\u7f16\u7801\uff0c\u5982\u679c\u4f60\u5728\u6587\u4ef6\u4e2d\u5199\u5165\u4e2d\u6587\u5b57\u7b26\uff0c\u786e\u4fdd\u5728\u6587\u4ef6\u5f00\u5934\u6dfb\u52a0# -*- coding: utf-8 -*-<\/code>\uff0c\u4ee5\u907f\u514d\u7f16\u7801\u9519\u8bef\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u6587\u672c\u7f16\u8f91\u5668\u65f6\u4e5f\u8981\u786e\u4fdd\u6587\u4ef6\u4fdd\u5b58\u4e3aUTF-8\u683c\u5f0f\u3002<\/p>\n
    \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u4e2d\u6587\u8fdb\u884c\u5b57\u7b26\u4e32\u64cd\u4f5c\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u5b57\u7b26\u4e32\u64cd\u4f5c\u652f\u6301\u4e2d\u6587\uff0c\u60a8\u53ef\u4ee5\u8fdb\u884c\u5207\u7247\u3001\u62fc\u63a5\u3001\u67e5\u627e\u7b49\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5c06\u591a\u4e2a\u6c49\u5b57\u8fde\u63a5\u8d77\u6765\u5f62\u6210\u4e00\u4e2a\u65b0\u5b57\u7b26\u4e32\uff1anew_string = "\u6d3e" + "\u5bf9" + "\u8c61"<\/code>\uff0c\u8fd9\u5c06\u8f93\u51fa\u201c\u6d3e\u5bf9\u8c61\u201d\u3002\u786e\u4fdd\u5728\u64cd\u4f5c\u65f6\u8003\u8651\u5230\u4e2d\u6587\u5b57\u7b26\u7684\u957f\u5ea6\uff0c\u4ee5\u907f\u514d\u51fa\u73b0\u610f\u5916\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u8ba1\u7b97\u5706\u5468\u7387\uff08\u03c0\uff09\u7684\u5e38\u7528\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u6570\u5b66\u5e93\u7684\u5e38\u91cf\u3001\u8499\u7279\u5361\u6d1b\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3 […]","protected":false},"author":3,"featured_media":949606,"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\/949596"}],"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=949596"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949596\/revisions"}],"predecessor-version":[{"id":949608,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949596\/revisions\/949608"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/949606"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=949596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=949596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=949596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}