{"id":6098,"date":"2025-06-01T15:01:59","date_gmt":"2025-06-04T07:28:59","guid":{"rendered":"https:\/\/badgameshow.com\/steven\/?p=6098"},"modified":"2025-06-04T15:01:59","modified_gmt":"2025-06-04T07:28:59","slug":"%e6%a8%99%e5%87%86%e5%b7%ae%e6%8c%87%e6%a8%99standarddeviation%e5%9c%a8python%e4%b8%ad%e7%9a%84%e6%87%89%e7%94%a8","status":"publish","type":"post","link":"https:\/\/badgameshow.com\/steven\/python\/%e6%a8%99%e5%87%86%e5%b7%ae%e6%8c%87%e6%a8%99standarddeviation%e5%9c%a8python%e4%b8%ad%e7%9a%84%e6%87%89%e7%94%a8\/","title":{"rendered":"2025 \u6700\u65b0 Python \u7a0b\u5f0f\u6559\u5b78\uff1a\u6df1\u5165\u89e3\u6790\u6a19\u51c6\u5dee\u6307\u6a19 (Standard Deviation) \u7684\u61c9\u7528"},"content":{"rendered":"

<\/p>\n

\u6a19\u51c6\u5dee\u6307\u6a19 (Standard Deviation) \u662f\u91d1\u878d\u5206\u6790\u4e2d\u4e00\u500b\u975e\u5e38\u91cd\u8981\u7684\u7d71\u8a08\u6307\u6a19\uff0c\u4e3b\u8981\u7528\u65bc\u6e2c\u91cf\u80a1\u50f9\u6216\u5176\u4ed6\u8cc7\u7522\u7684\u6ce2\u52d5\u6027\u3002\u900f\u904e\u6a19\u51c6\u5dee\uff0c\u6295\u8cc7\u8005\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u5e02\u5834\u7684\u98a8\u96aa\u8207\u6f5b\u5728\u7684\u8f49\u6298\u9ede\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u6a19\u51c6\u5dee\u6307\u6a19\u7684\u8a08\u7b97\u65b9\u6cd5\u53ca\u5176\u5728 Python \u4e2d\u7684\u5be6\u4f5c\uff0c\u4e26\u63d0\u4f9b\u7bc4\u4f8b\u8207\u6700\u4f73\u5be6\u8e10\u3002<\/p>\n

\u4ec0\u9ebc\u662f\u6a19\u51c6\u5dee\u6307\u6a19\uff1f<\/h2>\n

\u6a19\u51c6\u5dee\u6307\u6a19\u662f\u8861\u91cf\u6578\u64da\u5206\u6563\u7a0b\u5ea6\u7684\u7d71\u8a08\u5de5\u5177\u3002\u5b83\u544a\u8a34\u6211\u5011\u6578\u64da\u9ede\u5982\u4f55\u5206\u4f48\u65bc\u5e73\u5747\u503c\u5468\u570d\u3002\u5c0d\u65bc\u80a1\u50f9\u4f86\u8aaa\uff0c\u6a19\u51c6\u5dee\u7684\u9ad8\u4f4e\u53ef\u4ee5\u53cd\u6620\u5e02\u5834\u7684\u6ce2\u52d5\u6027\uff1a\u7576\u6a19\u51c6\u5dee\u8f03\u9ad8\u6642\uff0c\u80a1\u50f9\u6ce2\u52d5\u5e45\u5ea6\u5927\uff0c\u53cd\u4e4b\u5247\u76f8\u5c0d\u7a69\u5b9a\u3002<\/p>\n

\u6a19\u51c6\u5dee\u6307\u6a19\u7684\u4f7f\u7528\u6642\u6a5f<\/h2>\n

\u6a19\u51c6\u5dee\u6307\u6a19\u901a\u5e38\u5728\u4ee5\u4e0b\u60c5\u6cc1\u4e0b\u4f7f\u7528\uff1a<\/p>\n

1. **\u98a8\u96aa\u8a55\u4f30**\uff1a\u6295\u8cc7\u8005\u53ef\u4ee5\u901a\u904e\u6a19\u51c6\u5dee\u4f86\u8a55\u4f30\u4e0d\u540c\u8cc7\u7522\u7684\u98a8\u96aa\uff0c\u9078\u64c7\u5408\u9069\u7684\u6295\u8cc7\u7d44\u5408\u3002
\n2. **\u5224\u65b7\u8f49\u6298\u9ede**\uff1a\u7576\u6a19\u51c6\u5dee\u6307\u6a19\u5927\u5e45\u6ce2\u52d5\u6642\uff0c\u53ef\u80fd\u9810\u793a\u8457\u5e02\u5834\u7684\u8f49\u8b8a\uff0c\u6295\u8cc7\u8005\u61c9\u8a72\u4fdd\u6301\u8b66\u89ba\u3002
\n3. **\u4ea4\u6613\u7b56\u7565\u7684\u5236\u5b9a**\uff1a\u6839\u64da\u6a19\u51c6\u5dee\u7684\u9ad8\u4f4e\uff0c\u6295\u8cc7\u8005\u53ef\u4ee5\u5236\u5b9a\u76f8\u61c9\u7684\u9032\u51fa\u5834\u7b56\u7565\u3002<\/p>\n

Python \u5be6\u4f5c\u7bc4\u4f8b<\/h2>\n

\u4ee5\u4e0b\u662f\u4f7f\u7528 Python \u8a08\u7b97\u6a19\u51c6\u5dee\u6307\u6a19\u7684\u7bc4\u4f8b\uff0c\u4e26\u5c55\u793a\u5982\u4f55\u5c07\u5176\u61c9\u7528\u65bc\u80a1\u50f9\u6578\u64da\u4e2d\uff1a<\/p>\n

“`python
\nimport numpy as np
\nimport matplotlib.pyplot as plt<\/p>\n

# \u8a08\u7b97\u6a19\u51c6\u5dee\u6307\u6a19
\ndef std_dev(data):
\n return np.std(data)<\/p>\n

# \u6a21\u64ec\u80a1\u50f9\u6578\u64da
\nstock_data = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n

# \u8a08\u7b97\u80a1\u50f9\u7684\u6a19\u51c6\u5dee\u6307\u6a19
\nstd_dev_value = std_dev(stock_data)
\nprint(f”\u80a1\u50f9\u7684\u6a19\u51c6\u5dee\u6307\u6a19\u70ba: {std_dev_value:.2f}”)<\/p>\n

# \u53ef\u8996\u5316\u80a1\u50f9\u53ca\u5176\u6a19\u51c6\u5dee
\nplt.plot(stock_data, marker=’o’)
\nplt.axhline(y=np.mean(stock_data), color=’r’, linestyle=’–‘, label=’\u5e73\u5747\u503c’)
\nplt.fill_between(range(len(stock_data)),
\n np.mean(stock_data) – std_dev_value,
\n np.mean(stock_data) + std_dev_value,
\n color=’gray’, alpha=0.3, label=’\u6a19\u51c6\u5dee\u7bc4\u570d’)
\nplt.title(‘\u80a1\u50f9\u8207\u6a19\u51c6\u5dee\u6307\u6a19’)
\nplt.xlabel(‘\u6642\u9593’)
\nplt.ylabel(‘\u80a1\u50f9’)
\nplt.legend()
\nplt.show()
\n“`<\/p>\n

\u4e0a\u8ff0\u7a0b\u5f0f\u78bc\u8a08\u7b97\u4e86\u80a1\u50f9\u7684\u6a19\u51c6\u5dee\u6307\u6a19\uff0c\u4e26\u4f7f\u7528 Matplotlib \u9032\u884c\u8996\u89ba\u5316\uff0c\u5e6b\u52a9\u6295\u8cc7\u8005\u66f4\u76f4\u89c0\u5730\u7406\u89e3\u80a1\u50f9\u8b8a\u5316\u53ca\u5176\u98a8\u96aa\u3002<\/p>\n

\u932f\u8aa4\u6392\u9664\u8207\u6700\u4f73\u5be6\u8e10<\/h2>\n

\u5728\u4f7f\u7528 Python \u8a08\u7b97\u6a19\u51c6\u5dee\u6307\u6a19\u6642\uff0c\u53ef\u80fd\u6703\u9047\u5230\u4ee5\u4e0b\u554f\u984c\uff1a<\/p>\n

1. **\u6578\u64da\u683c\u5f0f\u932f\u8aa4**\uff1a\u78ba\u4fdd\u8f38\u5165\u6578\u64da\u70ba\u6578\u503c\u578b\u614b\uff0c\u82e5\u6578\u64da\u4e2d\u5305\u542b\u975e\u6578\u5b57\u578b\u8cc7\u6599\uff0c\u5c07\u5c0e\u81f4\u8a08\u7b97\u932f\u8aa4\u3002
\n2. **\u6578\u64da\u96c6\u904e\u5c0f**\uff1a\u6a19\u51c6\u5dee\u7684\u8a08\u7b97\u4f9d\u8cf4\u65bc\u6578\u64da\u96c6\u7684\u5927\u5c0f\uff0c\u904e\u5c0f\u7684\u6578\u64da\u96c6\u53ef\u80fd\u7121\u6cd5\u53cd\u6620\u771f\u5be6\u7684\u5e02\u5834\u6ce2\u52d5\u60c5\u6cc1\u3002
\n3. **\u53ef\u8996\u5316\u554f\u984c**\uff1a\u5728\u53ef\u8996\u5316\u4e2d\uff0c\u78ba\u4fdd Matplotlib \u7684\u7e6a\u5716\u7bc4\u570d\u6b63\u78ba\uff0c\u4ee5\u907f\u514d\u8aa4\u89e3\u6a19\u51c6\u5dee\u7684\u542b\u7fa9\u3002<\/p>\n

\u82e5\u60f3\u9032\u4e00\u6b65\u4e86\u89e3 Python \u5728\u6578\u64da\u5206\u6790\u4e2d\u7684\u61c9\u7528\uff0c\u5efa\u8b70\u53c3\u8003 [\u9019\u7bc7\u6559\u5b78\u6587\u7ae0](https:\/\/vocus.cc\/article\/601c5f8a92a4e80001224b2c) \u3002<\/p>\n

\u7d50\u8ad6<\/h2>\n

\u6a19\u51c6\u5dee\u6307\u6a19\u5728\u4ea4\u6613\u4e2d\u662f\u4e00\u500b\u95dc\u9375\u7684\u5de5\u5177\u3002\u900f\u904e Python \u7684\u5be6\u4f5c\uff0c\u6211\u5011\u53ef\u4ee5\u66f4\u6709\u6548\u5730\u8a08\u7b97\u4e26\u5206\u6790\u9019\u4e00\u6307\u6a19\uff0c\u5f9e\u800c\u8f14\u52a9\u6295\u8cc7\u6c7a\u7b56\u3002\u96a8\u8457\u5e02\u5834\u7684\u4e0d\u65b7\u8b8a\u5316\uff0c\u638c\u63e1\u9019\u4e9b\u6280\u80fd\u5c0d\u6bcf\u4e00\u4f4d\u6295\u8cc7\u8005\u90fd\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

Q&A\uff08\u5e38\u898b\u554f\u984c\u89e3\u7b54\uff09<\/h2>\n

**Q1: \u6a19\u51c6\u5dee\u6307\u6a19\u5982\u4f55\u5f71\u97ff\u6295\u8cc7\u6c7a\u7b56\uff1f**
\nA1: \u6a19\u51c6\u5dee\u6307\u6a19\u5e6b\u52a9\u6295\u8cc7\u8005\u8a55\u4f30\u8cc7\u7522\u7684\u98a8\u96aa\uff0c\u82e5\u6a19\u51c6\u5dee\u9ad8\uff0c\u8868\u660e\u5e02\u5834\u6ce2\u52d5\u6027\u5927\uff0c\u6295\u8cc7\u8005\u53ef\u80fd\u6703\u9078\u64c7\u964d\u4f4e\u98a8\u96aa\u7684\u6295\u8cc7\u7b56\u7565\u3002<\/p>\n

**Q2: \u5982\u4f55\u5728 Python \u4e2d\u8655\u7406\u7f3a\u5931\u6578\u64da\uff1f**
\nA2: \u4f7f\u7528 `numpy` \u6216 `pandas` \u6a21\u7d44\u4e2d\u7684\u65b9\u6cd5\u53ef\u4ee5\u8f15\u9b06\u586b\u88dc\u6216\u522a\u9664\u7f3a\u5931\u6578\u64da\uff0c\u4ee5\u78ba\u4fdd\u8a08\u7b97\u7684\u6e96\u78ba\u6027\u3002<\/p>\n

**Q3: \u9664\u4e86\u6a19\u51c6\u5dee\uff0c\u9084\u6709\u54ea\u4e9b\u6307\u6a19\u53ef\u4ee5\u7528\u65bc\u98a8\u96aa\u8a55\u4f30\uff1f**
\nA3: \u9664\u4e86\u6a19\u51c6\u5dee\uff0c\u9084\u53ef\u4ee5\u8003\u616e\u4f7f\u7528\u6ce2\u52d5\u7387\u3001VaR\uff08\u98a8\u96aa\u50f9\u503c\uff09\u7b49\u6307\u6a19\u9032\u884c\u5168\u9762\u7684\u98a8\u96aa\u8a55\u4f30\u3002
\n—<\/p>\n","protected":false},"excerpt":{"rendered":"

\u6587\u7ae0\u6458\u8981\uff1a\u6a19\u51c6\u5dee\u6307\u6a19(StandardDeviation)\u662f\u4e00\u7a2e\u5e38\u7528\u7684\u4ea4\u6613\u6307\u6a19\uff0c\u53ef\u4ee5\u7528\u65bc\u5206\u6790\u80a1\u7968\u50f9\u683c\u7684\u6ce2\u52d5\u6027\uff0c\u4ee5\u53ca\u6295\u8cc7\u8005\u7684\u98a8\u96aa\u504f\u597d\u3002\u672c\u6587\u5c07\u4ecb\u7d39\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u6a19\u51c6\u5dee\u6307\u6a19\uff0c\u4ee5\u53ca\u5b83\u7684\u61c9\u7528\u5834\u666f\u3002<\/p>\n","protected":false},"author":1,"featured_media":2518,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[18,189],"tags":[15,188],"class_list":["post-6098","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-189","tag-python","tag-188"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/badgameshow.com\/steven\/wp-content\/uploads\/2022\/12\/DALL\u00b7E-2022-12-28-14.25.55-\u62f7\u8c9d2.png","jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pcFK27-1Am","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6098","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/comments?post=6098"}],"version-history":[{"count":1,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6098\/revisions"}],"predecessor-version":[{"id":6099,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/posts\/6098\/revisions\/6099"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/media\/2518"}],"wp:attachment":[{"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/media?parent=6098"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/categories?post=6098"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/badgameshow.com\/steven\/wp-json\/wp\/v2\/tags?post=6098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}