{"id":1090987,"date":"2025-01-08T14:07:27","date_gmt":"2025-01-08T06:07:27","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1090987.html"},"modified":"2025-01-08T14:07:29","modified_gmt":"2025-01-08T06:07:29","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%ae%a1%e7%ae%97excel%e4%b8%ad%e8%a1%8c%e7%9a%84%e5%b7%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1090987.html","title":{"rendered":"\u5982\u4f55\u7528python\u8ba1\u7b97excel\u4e2d\u884c\u7684\u5dee"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24203400\/615918ef-aedf-4e64-9075-3df09e850ead.webp\" alt=\"\u5982\u4f55\u7528python\u8ba1\u7b97excel\u4e2d\u884c\u7684\u5dee\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u8ba1\u7b97Excel\u4e2d\u884c\u7684\u5dee\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93<\/strong>\uff0c<strong>\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u5904\u7406\u6570\u636e\u3001\u8ba1\u7b97\u5dee\u503c<\/strong>\u3002Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u5b83\u6765\u8f7b\u677e\u5730\u5904\u7406Excel\u6570\u636e\u5e76\u8ba1\u7b97\u884c\u7684\u5dee\u503c\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u548cPandas\u6765\u5b9e\u73b0\u8fd9\u4e00\u4efb\u52a1\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5Pandas\u548cOpenpyxl\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Pandas\u8bfb\u53d6Excel\u6587\u4ef6\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pandas openpyxl<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165Pandas\u5e93\u4ee5\u53ca\u5176\u4ed6\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528Pandas\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>read_excel<\/code>\u65b9\u6cd5\u3002\u8fd9\u65b9\u6cd5\u975e\u5e38\u7075\u6d3b\uff0c\u652f\u6301\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df = pd.read_excel(&#39;path_to_your_excel_file.xlsx&#39;, sheet_name=&#39;Sheet1&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u8ba1\u7b97\u884c\u7684\u5dee\u503c<\/h3>\n<\/p>\n<p><p>Pandas\u63d0\u4f9b\u4e86<code>diff<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8ba1\u7b97\u884c\u4e0e\u884c\u4e4b\u95f4\u7684\u5dee\u503c\u3002\u5047\u8bbe\u6211\u4eec\u9700\u8981\u8ba1\u7b97\u67d0\u4e00\u5217\u7684\u5dee\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[&#39;Difference&#39;] = df[&#39;YourColumnName&#39;].diff()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u7ec6\u793a\u4f8b\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;data.xlsx&#39;, sheet_name=&#39;Sheet1&#39;)<\/p>\n<h2><strong>\u8ba1\u7b97\u5dee\u503c<\/strong><\/h2>\n<p>df[&#39;Difference&#39;] = df[&#39;YourColumnName&#39;].diff()<\/p>\n<h2><strong>\u4fdd\u5b58\u7ed3\u679c\u5230\u65b0\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df.to_excel(&#39;data_with_difference.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u4fdd\u5b58\u7ed3\u679c<\/h3>\n<\/p>\n<p><p>\u8ba1\u7b97\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df.to_excel(&#39;path_to_save_your_excel_file.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u8be6\u7ec6\u793a\u4f8b\u53ca\u89e3\u91ca<\/h3>\n<\/p>\n<p><p>\u8ba9\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\u6765\u66f4\u597d\u5730\u7406\u89e3\u4e0a\u8ff0\u6b65\u9aa4\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2aExcel\u6587\u4ef6<code>data.xlsx<\/code>\uff0c\u91cc\u9762\u6709\u4e00\u4e2a\u5de5\u4f5c\u8868<code>Sheet1<\/code>\uff0c\u5176\u4e2d\u6709\u4e00\u5217\u540d\u4e3a<code>Sales<\/code>\u3002\u6211\u4eec\u5e0c\u671b\u8ba1\u7b97\u6bcf\u884c\u7684\u9500\u552e\u5dee\u503c\u5e76\u4fdd\u5b58\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><h4>1. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_excel(&#39;data.xlsx&#39;, sheet_name=&#39;Sheet1&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2. \u67e5\u770b\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5728\u8ba1\u7b97\u5dee\u503c\u4e4b\u524d\uff0c\u6211\u4eec\u53ef\u4ee5\u5148\u67e5\u770b\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(df.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5047\u8bbe\u8f93\u51fa\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>   Date  Sales<\/p>\n<p>0  2023-01-01   100<\/p>\n<p>1  2023-01-02   150<\/p>\n<p>2  2023-01-03   200<\/p>\n<p>3  2023-01-04   250<\/p>\n<p>4  2023-01-05   300<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3. \u8ba1\u7b97\u5dee\u503c<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u4f7f\u7528<code>diff<\/code>\u65b9\u6cd5\u6765\u8ba1\u7b97<code>Sales<\/code>\u5217\u7684\u5dee\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[&#39;Difference&#39;] = df[&#39;Sales&#39;].diff()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8ba1\u7b97\u540e\u7684\u6570\u636e\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>   Date  Sales  Difference<\/p>\n<p>0  2023-01-01   100         NaN<\/p>\n<p>1  2023-01-02   150        50.0<\/p>\n<p>2  2023-01-03   200        50.0<\/p>\n<p>3  2023-01-04   250        50.0<\/p>\n<p>4  2023-01-05   300        50.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>4. \u4fdd\u5b58\u7ed3\u679c<\/h4>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u6211\u4eec\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u4e00\u4e2a\u65b0\u7684Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df.to_excel(&#39;data_with_difference.xlsx&#39;, index=False)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u5904\u7406\u591a\u5217\u5dee\u503c<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u9700\u8981\u8ba1\u7b97\u591a\u5217\u7684\u5dee\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>apply<\/code>\u65b9\u6cd5\u914d\u5408<code>lambda<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u6709\u4e24\u4e2a\u5217<code>Sales<\/code>\u548c<code>Expenses<\/code>\uff0c\u6211\u4eec\u5e0c\u671b\u8ba1\u7b97\u5b83\u4eec\u7684\u5dee\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[[&#39;Sales_Diff&#39;, &#39;Expenses_Diff&#39;]] = df[[&#39;Sales&#39;, &#39;Expenses&#39;]].apply(lambda x: x.diff())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8ba1\u7b97\u540e\u7684\u6570\u636e\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code>   Date  Sales  Expenses  Sales_Diff  Expenses_Diff<\/p>\n<p>0  2023-01-01   100       50         NaN            NaN<\/p>\n<p>1  2023-01-02   150       80        50.0           30.0<\/p>\n<p>2  2023-01-03   200      100        50.0           20.0<\/p>\n<p>3  2023-01-04   250      120        50.0           20.0<\/p>\n<p>4  2023-01-05   300      150        50.0           30.0<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5728\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65f6\uff0c\u786e\u4fdd\u6570\u636e\u6309\u65e5\u671f\u6392\u5e8f\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>sort_values<\/code>\u65b9\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u6392\u5e8f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df = df.sort_values(&#39;Date&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e5d\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n<p><p>\u5728\u8ba1\u7b97\u5dee\u503c\u65f6\uff0c\u7b2c\u4e00\u884c\u7684\u5dee\u503c\u4f1a\u662fNaN\uff0c\u56e0\u4e3a\u5b83\u6ca1\u6709\u524d\u4e00\u884c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>fillna<\/code>\u65b9\u6cd5\u6765\u5904\u7406\u8fd9\u4e9b\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">df[&#39;Difference&#39;] = df[&#39;Difference&#39;].fillna(0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u5341\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u4f7f\u7528Python\u548cPandas\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u8ba1\u7b97\u884c\u7684\u5dee\u503c\u5e76\u4fdd\u5b58\u7ed3\u679c\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u4f7f\u5f97\u8fd9\u4e9b\u4efb\u52a1\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u548c\u9ad8\u6548\u3002\u65e0\u8bba\u662f\u5904\u7406\u5355\u5217\u3001\u591a\u5217\u8fd8\u662f\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0cPandas\u90fd\u80fd\u80dc\u4efb\u3002\u901a\u8fc7\u4e0d\u65ad\u5730\u5b9e\u8df5\u548c\u5b66\u4e60\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u597d\u5730\u638c\u63e1\u8fd9\u4e9b\u5de5\u5177\uff0c\u5e76\u5728\u5b9e\u9645\u5de5\u4f5c\u4e2d\u7075\u6d3b\u5e94\u7528\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\uff1f<\/strong><br \/>\u8981\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86<code>pandas<\/code>\u548c<code>openpyxl<\/code>\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a  <\/p>\n<pre><code>pip install pandas openpyxl\n<\/code><\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6Excel\u6587\u4ef6\uff1a  <\/p>\n<pre><code class=\"language-python\">import pandas as pd\n\n# \u8bfb\u53d6Excel\u6587\u4ef6\ndf = pd.read_excel(&#39;\u6587\u4ef6\u8def\u5f84.xlsx&#39;)\nprint(df)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u60a8\u5c31\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u7684\u6570\u636e\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u4e2d\uff0c\u65b9\u4fbf\u8fdb\u884c\u540e\u7eed\u5904\u7406\u3002<\/p>\n<p><strong>\u5982\u4f55\u8ba1\u7b97Excel\u4e2d\u4e24\u884c\u4e4b\u95f4\u7684\u5dee\u503c\uff1f<\/strong><br \/>\u5728\u4f7f\u7528<code>pandas<\/code>\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u7b97\u672f\u64cd\u4f5c\u8ba1\u7b97\u884c\u4e4b\u95f4\u7684\u5dee\u503c\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u60f3\u8ba1\u7b97\u7b2c\u4e00\u884c\u548c\u7b2c\u4e8c\u884c\u7684\u5dee\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">diff = df.iloc[1] - df.iloc[0]\nprint(diff)\n<\/code><\/pre>\n<p>\u8fd9\u5c06\u8f93\u51fa\u7b2c\u4e8c\u884c\u4e0e\u7b2c\u4e00\u884c\u7684\u6bcf\u4e2a\u5143\u7d20\u7684\u5dee\u503c\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u5bf9\u591a\u884c\u8fdb\u884c\u5dee\u503c\u8ba1\u7b97\uff1f<\/strong><br \/>\u5f53\u7136\u53ef\u4ee5\uff01\u5982\u679c\u60a8\u60f3\u8ba1\u7b97\u591a\u884c\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528<code>diff()<\/code>\u65b9\u6cd5\u3002\u8fd9\u5c06\u81ea\u52a8\u8ba1\u7b97\u76f8\u90bb\u884c\u4e4b\u95f4\u7684\u5dee\u503c\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5c06\u8ba1\u7b97\u6240\u6709\u884c\u4e4b\u95f4\u7684\u5dee\u503c\uff1a  <\/p>\n<pre><code class=\"language-python\">differences = df.diff()\nprint(differences)\n<\/code><\/pre>\n<p>\u8fd9\u5c06\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684DataFrame\uff0c\u5176\u4e2d\u6bcf\u4e2a\u5143\u7d20\u8868\u793a\u4e0e\u524d\u4e00\u884c\u7684\u5dee\u503c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8ba1\u7b97Excel\u4e2d\u884c\u7684\u5dee\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\uff0c\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u5904\u7406\u6570\u636e\u3001\u8ba1\u7b97\u5dee\u503c\u3002Pan [&hellip;]","protected":false},"author":3,"featured_media":1090996,"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\/1090987"}],"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=1090987"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090987\/revisions"}],"predecessor-version":[{"id":1090997,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090987\/revisions\/1090997"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1090996"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1090987"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1090987"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1090987"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}