{"id":194481,"date":"2024-11-13T07:01:19","date_gmt":"2024-11-12T23:01:19","guid":{"rendered":"https:\/\/server.hk\/cnblog\/194481\/"},"modified":"2024-11-13T07:01:21","modified_gmt":"2024-11-12T23:01:21","slug":"%e7%94%a8-pandas-%e8%99%95%e7%90%86%e7%b5%90%e6%a7%8b%e4%b8%8d%e4%bd%b3%e7%9a%84-excel-%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/194481\/","title":{"rendered":"\u7528 Pandas \u8655\u7406\u7d50\u69cb\u4e0d\u4f73\u7684 Excel \u6587\u4ef6"},"content":{"rendered":"<h1 id=\"%e7%94%a8-pandas-%e8%99%95%e7%90%86%e7%b5%90%e6%a7%8b%e4%b8%8d%e4%bd%b3%e7%9a%84-excel-%e6%96%87%e4%bb%b6-lfcVjYDmnW\">\u7528 Pandas \u8655\u7406\u7d50\u69cb\u4e0d\u4f73\u7684 Excel \u6587\u4ef6<\/h1>\n<p>\u5728\u6578\u64da\u5206\u6790\u7684\u904e\u7a0b\u4e2d\uff0cExcel \u6587\u4ef6\u662f\u6700\u5e38\u898b\u7684\u6578\u64da\u4f86\u6e90\u4e4b\u4e00\u3002\u7136\u800c\uff0c\u8a31\u591a Excel \u6587\u4ef6\u7684\u7d50\u69cb\u53ef\u80fd\u4e0d\u5920\u7406\u60f3\uff0c\u9019\u4f7f\u5f97\u6578\u64da\u6e05\u7406\u548c\u8655\u7406\u8b8a\u5f97\u66f4\u52a0\u8907\u96dc\u3002Pandas \u662f\u4e00\u500b\u5f37\u5927\u7684 Python \u6578\u64da\u5206\u6790\u5eab\uff0c\u80fd\u5920\u6709\u6548\u5730\u8655\u7406\u9019\u4e9b\u7d50\u69cb\u4e0d\u4f73\u7684 Excel \u6587\u4ef6\u3002\u672c\u6587\u5c07\u63a2\u8a0e\u5982\u4f55\u4f7f\u7528 Pandas \u4f86\u6e05\u7406\u548c\u8655\u7406\u9019\u985e\u6587\u4ef6\u3002<\/p>\n<h2 id=\"%e7%82%ba%e4%bb%80%e9%ba%bc-excel-%e6%96%87%e4%bb%b6%e7%9a%84%e7%b5%90%e6%a7%8b%e6%9c%83%e4%b8%8d%e4%bd%b3%ef%bc%9f-lfcVjYDmnW\">\u70ba\u4ec0\u9ebc Excel \u6587\u4ef6\u7684\u7d50\u69cb\u6703\u4e0d\u4f73\uff1f<\/h2>\n<p>Excel \u6587\u4ef6\u7684\u7d50\u69cb\u4e0d\u4f73\u53ef\u80fd\u7531\u591a\u7a2e\u539f\u56e0\u9020\u6210\uff0c\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u6578\u64da\u672a\u6309\u7167\u6a19\u6e96\u683c\u5f0f\u8f38\u5165\uff0c\u4f8b\u5982\u65e5\u671f\u683c\u5f0f\u4e0d\u4e00\u81f4\u3002<\/li>\n<li>\u7f3a\u5c11\u6a19\u984c\u884c\u6216\u6a19\u984c\u884c\u4e0d\u660e\u78ba\u3002<\/li>\n<li>\u6578\u64da\u4e2d\u5b58\u5728\u7a7a\u767d\u55ae\u5143\u683c\u6216\u91cd\u8907\u6578\u64da\u3002<\/li>\n<li>\u6578\u64da\u5206\u4f48\u5728\u591a\u500b\u5de5\u4f5c\u8868\u4e2d\uff0c\u7f3a\u4e4f\u7d71\u4e00\u6027\u3002<\/li>\n<\/ul>\n<h2 id=\"%e4%bd%bf%e7%94%a8-pandas-%e8%ae%80%e5%8f%96-excel-%e6%96%87%e4%bb%b6-lfcVjYDmnW\">\u4f7f\u7528 Pandas \u8b80\u53d6 Excel \u6587\u4ef6<\/h2>\n<p>\u9996\u5148\uff0c\u6211\u5011\u9700\u8981\u5b89\u88dd Pandas \u548c openpyxl \u5eab\uff0c\u9019\u6a23\u624d\u80fd\u8b80\u53d6 Excel \u6587\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u9032\u884c\u5b89\u88dd\uff1a<\/p>\n<pre><code>pip install pandas openpyxl<\/code><\/pre>\n<p>\u63a5\u4e0b\u4f86\uff0c\u6211\u5011\u53ef\u4ee5\u4f7f\u7528 Pandas \u7684 <code>read_excel<\/code> \u51fd\u6578\u4f86\u8b80\u53d6 Excel \u6587\u4ef6\uff1a<\/p>\n<pre><code>import pandas as pd\n\n# \u8b80\u53d6 Excel \u6587\u4ef6\ndf = pd.read_excel('path_to_your_file.xlsx', sheet_name='Sheet1')\nprint(df.head())<\/code><\/pre>\n<h2 id=\"%e6%95%b8%e6%93%9a%e6%b8%85%e7%90%86%e7%9a%84%e6%ad%a5%e9%a9%9f-lfcVjYDmnW\">\u6578\u64da\u6e05\u7406\u7684\u6b65\u9a5f<\/h2>\n<p>\u5728\u8b80\u53d6\u6578\u64da\u5f8c\uff0c\u901a\u5e38\u9700\u8981\u9032\u884c\u4ee5\u4e0b\u5e7e\u500b\u6e05\u7406\u6b65\u9a5f\uff1a<\/p>\n<h3 id=\"1-%e8%99%95%e7%90%86%e7%bc%ba%e5%a4%b1%e5%80%bc-lfcVjYDmnW\">1. \u8655\u7406\u7f3a\u5931\u503c<\/h3>\n<p>\u7f3a\u5931\u503c\u662f\u6578\u64da\u6e05\u7406\u4e2d\u6700\u5e38\u898b\u7684\u554f\u984c\u4e4b\u4e00\u3002\u53ef\u4ee5\u4f7f\u7528 <code>dropna<\/code> \u6216 <code>fillna<\/code> \u65b9\u6cd5\u4f86\u8655\u7406\u7f3a\u5931\u503c\uff1a<\/p>\n<pre><code># \u522a\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\ndf_cleaned = df.dropna()\n\n# \u7528\u7279\u5b9a\u503c\u586b\u5145\u7f3a\u5931\u503c\ndf_filled = df.fillna(0)<\/code><\/pre>\n<h3 id=\"2-%e9%87%8d%e5%91%bd%e5%90%8d%e5%88%97-lfcVjYDmnW\">2. \u91cd\u547d\u540d\u5217<\/h3>\n<p>\u5982\u679c Excel \u6587\u4ef6\u7684\u5217\u540d\u4e0d\u5920\u6e05\u6670\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>rename<\/code> \u65b9\u6cd5\u4f86\u91cd\u547d\u540d\u5217\uff1a<\/p>\n<pre><code># \u91cd\u547d\u540d\u5217\ndf.rename(columns={'\u820a\u5217\u540d': '\u65b0\u5217\u540d'}, inplace=True)<\/code><\/pre>\n<h3 id=\"3-%e8%bd%89%e6%8f%9b%e6%95%b8%e6%93%9a%e9%a1%9e%e5%9e%8b-lfcVjYDmnW\">3. \u8f49\u63db\u6578\u64da\u985e\u578b<\/h3>\n<p>\u6709\u6642\u5019\uff0c\u6578\u64da\u7684\u985e\u578b\u53ef\u80fd\u4e0d\u6b63\u78ba\uff0c\u4f8b\u5982\u65e5\u671f\u88ab\u8b80\u53d6\u70ba\u5b57\u7b26\u4e32\u3002\u53ef\u4ee5\u4f7f\u7528 <code>pd.to_datetime<\/code> \u4f86\u8f49\u63db\u65e5\u671f\uff1a<\/p>\n<pre><code># \u8f49\u63db\u65e5\u671f\u5217\ndf['\u65e5\u671f\u5217'] = pd.to_datetime(df['\u65e5\u671f\u5217'])<\/code><\/pre>\n<h3 id=\"4-%e5%8e%bb%e9%99%a4%e9%87%8d%e8%a4%87%e6%95%b8%e6%93%9a-lfcVjYDmnW\">4. \u53bb\u9664\u91cd\u8907\u6578\u64da<\/h3>\n<p>\u91cd\u8907\u6578\u64da\u6703\u5f71\u97ff\u5206\u6790\u7d50\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>drop_duplicates<\/code> \u65b9\u6cd5\u4f86\u53bb\u9664\u91cd\u8907\u884c\uff1a<\/p>\n<pre><code># \u53bb\u9664\u91cd\u8907\u884c\ndf_unique = df.drop_duplicates()<\/code><\/pre>\n<h2 id=\"%e6%95%b8%e6%93%9a%e5%88%86%e6%9e%90%e8%88%87%e5%8f%af%e8%a6%96%e5%8c%96-lfcVjYDmnW\">\u6578\u64da\u5206\u6790\u8207\u53ef\u8996\u5316<\/h2>\n<p>\u5728\u6e05\u7406\u6578\u64da\u5f8c\uff0c\u53ef\u4ee5\u9032\u884c\u9032\u4e00\u6b65\u7684\u6578\u64da\u5206\u6790\u548c\u53ef\u8996\u5316\u3002Pandas \u63d0\u4f9b\u4e86\u591a\u7a2e\u65b9\u6cd5\u4f86\u9032\u884c\u6578\u64da\u5206\u6790\uff0c\u4f8b\u5982\u63cf\u8ff0\u6027\u7d71\u8a08\u3001\u5206\u7d44\u548c\u805a\u5408\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528 <code>groupby<\/code> \u65b9\u6cd5\u4f86\u9032\u884c\u5206\u7d44\u5206\u6790\uff1a<\/p>\n<pre><code># \u6309\u67d0\u5217\u5206\u7d44\u4e26\u8a08\u7b97\u5e73\u5747\u503c\ngrouped_data = df.groupby('\u5206\u7d44\u5217').mean()<\/code><\/pre>\n<p>\u6b64\u5916\uff0cPandas \u4e5f\u53ef\u4ee5\u8207 Matplotlib \u6216 Seaborn \u7b49\u53ef\u8996\u5316\u5eab\u7d50\u5408\u4f7f\u7528\uff0c\u4f86\u751f\u6210\u5716\u8868\u4ee5\u4fbf\u66f4\u597d\u5730\u7406\u89e3\u6578\u64da\u3002<\/p>\n<h2 id=\"%e7%b8%bd%e7%b5%90-lfcVjYDmnW\">\u7e3d\u7d50<\/h2>\n<p>\u4f7f\u7528 Pandas \u8655\u7406\u7d50\u69cb\u4e0d\u4f73\u7684 Excel \u6587\u4ef6\u662f\u4e00\u500b\u6709\u6548\u7684\u89e3\u6c7a\u65b9\u6848\u3002\u901a\u904e\u8b80\u53d6\u6578\u64da\u3001\u6e05\u7406\u6578\u64da\u3001\u9032\u884c\u5206\u6790\u548c\u53ef\u8996\u5316\uff0c\u60a8\u53ef\u4ee5\u5f9e\u4e2d\u63d0\u53d6\u6709\u50f9\u503c\u7684\u4fe1\u606f\u3002\u7121\u8ad6\u60a8\u662f\u6578\u64da\u5206\u6790\u5e2b\u9084\u662f\u696d\u52d9\u5c08\u696d\u4eba\u58eb\uff0c\u638c\u63e1\u9019\u4e9b\u6280\u80fd\u90fd\u5c07\u5927\u5927\u63d0\u9ad8\u60a8\u7684\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<p>\u5982\u679c\u60a8\u9700\u8981\u7a69\u5b9a\u7684\u6578\u64da\u8655\u7406\u74b0\u5883\uff0c\u8003\u616e\u4f7f\u7528 <a href=\"https:\/\/server.hk\">\u9999\u6e2fVPS<\/a> \u4f86\u904b\u884c\u60a8\u7684\u6578\u64da\u5206\u6790\u4efb\u52d9\uff0c\u9019\u5c07\u70ba\u60a8\u63d0\u4f9b\u66f4\u9ad8\u7684\u9748\u6d3b\u6027\u548c\u6027\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5b78\u7fd2\u5982\u4f55\u4f7f\u7528 Pandas \u8655\u7406\u7d50\u69cb\u4e0d\u4f73\u7684 Excel \u6587\u4ef6\uff0c\u63d0\u5347\u6578\u64da\u6e05\u7406\u8207\u5206\u6790\u6548\u7387\uff0c\u7c21\u5316\u7e41\u7463\u7684\u6578\u64da\u8655\u7406\u904e\u7a0b\u3002<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-194481","post","type-post","status-publish","format-standard","hentry","category-database"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/194481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=194481"}],"version-history":[{"count":1,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/194481\/revisions"}],"predecessor-version":[{"id":194482,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/194481\/revisions\/194482"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=194481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=194481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=194481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}