![\"\u5982\u4f55\u5b9e\u73b0python\u5bf9excel\u6570\u636e\u5904\u7406\"](\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/ee9a7b69-b201-4147-8eac-a2b90c81c537.webp?x-oss-process=image\/auto-orient,1\/format,webp\")
<\/p>\n<\/p>\n
\u5b9e\u73b0Python\u5bf9Excel\u6570\u636e\u5904\u7406\u7684\u51e0\u4e2a\u91cd\u8981\u6b65\u9aa4\u5305\u62ec\uff1a\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u3001\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u5904\u7406\u3001\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u3002<\/strong> \u5176\u4e2d\uff0c\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u662f\u57fa\u7840\uff0cPython\u4e2d\u5e38\u7528\u7684\u5e93\u6709pandas\u3001openpyxl\u3001xlrd\u7b49\u3002\u8bfb\u53d6Excel\u6587\u4ef6\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u7684read_excel\u51fd\u6570\u3002\u6570\u636e\u6e05\u6d17\u4e0e\u5904\u7406\u662f\u6570\u636e\u5904\u7406\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u5305\u62ec\u7f3a\u5931\u503c\u5904\u7406\u3001\u6570\u636e\u8f6c\u6362\u7b49\u3002\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u53ef\u4ee5\u4f7f\u7528pandas\u548cmatplotlib\u7b49\u5e93\u8fdb\u884c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/p>\n<\/p>\n \u5728\u8fdb\u884c\u6570\u636e\u5904\u7406\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u4e8eExcel\u6570\u636e\u5904\u7406\uff0c\u5982pandas\u3001openpyxl\u3001xlrd\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u8bfb\u53d6Excel\u6587\u4ef6\u662f\u6570\u636e\u5904\u7406\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u4e2d\u7684read_excel\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n df = pd.read_excel('example.xlsx')<\/p>\n print(df.head())<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165pandas\u5e93\uff0c\u7136\u540e\u4f7f\u7528read_excel\u51fd\u6570\u8bfb\u53d6\u540d\u4e3aexample.xlsx\u7684Excel\u6587\u4ef6\uff0c\u6700\u540e\u4f7f\u7528head\u65b9\u6cd5\u67e5\u770b\u524d\u4e94\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n \u6570\u636e\u6e05\u6d17\u4e0e\u5904\u7406\u662f\u6570\u636e\u5904\u7406\u7684\u6838\u5fc3\u90e8\u5206\u3002\u6570\u636e\u6e05\u6d17\u5305\u62ec\u7f3a\u5931\u503c\u5904\u7406\u3001\u91cd\u590d\u503c\u5904\u7406\u3001\u6570\u636e\u8f6c\u6362\u7b49\u3002\u4e0b\u9762\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u6e05\u6d17\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n \u7f3a\u5931\u503c\u5904\u7406\u662f\u6570\u636e\u6e05\u6d17\u7684\u91cd\u8981\u90e8\u5206\u3002\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u4e2d\u7684isnull\u548cdropna\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n print(df.isnull().sum())<\/p>\n df_cleaned = df.dropna()<\/p>\n df_filled = df.fillna(0)<\/p>\n <\/code><\/pre>\n<\/p>\n \u91cd\u590d\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u6570\u636e\u5206\u6790\u7684\u51c6\u786e\u6027\uff0c\u53ef\u4ee5\u4f7f\u7528drop_duplicates\u65b9\u6cd5\u5220\u9664\u91cd\u590d\u503c\uff1a<\/p>\n<\/p>\n df_unique = df.drop_duplicates()<\/p>\n <\/code><\/pre>\n<\/p>\n \u6570\u636e\u8f6c\u6362\u5305\u62ec\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3001\u65e5\u671f\u683c\u5f0f\u8f6c\u6362\u7b49\uff0c\u53ef\u4ee5\u4f7f\u7528astype\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u7c7b\u578b\u8f6c\u6362\uff0c\u4f7f\u7528to_datetime\u65b9\u6cd5\u8fdb\u884c\u65e5\u671f\u683c\u5f0f\u8f6c\u6362\uff1a<\/p>\n<\/p>\n df['column'] = df['column'].astype('int')<\/p>\n df['date'] = pd.to_datetime(df['date'])<\/p>\n <\/code><\/pre>\n<\/p>\n \u6570\u636e\u6e05\u6d17\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u8fdb\u884c\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u3002pandas\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5206\u6790\u65b9\u6cd5\uff0cmatplotlib\u5e93\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n \u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u4e2d\u7684describe\u65b9\u6cd5\u67e5\u770b\u6570\u636e\u7684\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f\uff0c\u4f7f\u7528groupby\u65b9\u6cd5\u8fdb\u884c\u5206\u7ec4\u5206\u6790\uff1a<\/p>\n<\/p>\n print(df.describe())<\/p>\n grouped = df.groupby('category').mean()<\/p>\n print(grouped)<\/p>\n <\/code><\/pre>\n<\/p>\n \u53ef\u4ee5\u4f7f\u7528matplotlib\u5e93\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n df['column'].value_counts().plot(kind='bar')<\/p>\n plt.show()<\/p>\n df['column'].plot(kind='line')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u4f7f\u7528Python\u5904\u7406Excel\u6570\u636e\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u9879\u76ee\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u9500\u552e\u6570\u636e\u7684Excel\u6587\u4ef6\uff0c\u5305\u542b\u5546\u54c1\u540d\u79f0\u3001\u9500\u552e\u6570\u91cf\u3001\u9500\u552e\u91d1\u989d\u7b49\u4fe1\u606f\u3002\u6211\u4eec\u5c06\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n df = pd.read_excel('sales_data.xlsx')<\/p>\n print(df.head())<\/p>\n <\/code><\/pre>\n<\/p>\n print(df.isnull().sum())<\/p>\n df_cleaned = df.dropna()<\/p>\n df_unique = df_cleaned.drop_duplicates()<\/p>\n <\/code><\/pre>\n<\/p>\n print(df_unique.describe())<\/p>\n df_unique['total_sales'] = df_unique['quantity'] * df_unique['price']<\/p>\n print(df_unique[['product', 'total_sales']].groupby('product').sum())<\/p>\n <\/code><\/pre>\n<\/p>\n df_unique[['product', 'total_sales']].groupby('product').sum().plot(kind='bar')<\/p>\n plt.title('Total Sales by Product')<\/p>\n plt.xlabel('Product')<\/p>\n plt.ylabel('Total Sales')<\/p>\n plt.show()<\/p>\n df_unique['quantity'].plot(kind='line')<\/p>\n plt.title('Sales Quantity Over Time')<\/p>\n plt.xlabel('Time')<\/p>\n plt.ylabel('Quantity')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u5bf9Excel\u6570\u636e\u7684\u8bfb\u53d6\u3001\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u8fd9\u53ea\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5b9e\u9645\u9879\u76ee\u4e2d\u53ef\u80fd\u4f1a\u66f4\u52a0\u590d\u6742\uff0c\u9700\u8981\u6839\u636e\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u8c03\u6574\u3002\u638c\u63e1\u8fd9\u4e9b\u57fa\u672c\u6b65\u9aa4\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u5229\u7528Python\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong> \u5728Python\u4e2d\u5982\u4f55\u5bf9Excel\u6570\u636e\u8fdb\u884c\u5206\u6790\u548c\u5904\u7406\uff1f<\/strong> \u5982\u4f55\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deExcel\u6587\u4ef6\uff1f<\/strong>\u4e00\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n
pip install pandas openpyxl xlrd<\/p>\n\n
\u4e8c\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
\u67e5\u770b\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
\u4e09\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u5904\u7406<\/h3>\n<\/p>\n
1. \u7f3a\u5931\u503c\u5904\u7406<\/h4>\n<\/p>\n
# \u68c0\u67e5\u7f3a\u5931\u503c<\/p>\n\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
2. \u91cd\u590d\u503c\u5904\u7406<\/h4>\n<\/p>\n
# \u5220\u9664\u91cd\u590d\u503c<\/p>\n3. \u6570\u636e\u8f6c\u6362<\/h4>\n<\/p>\n
# \u6570\u636e\u7c7b\u578b\u8f6c\u6362<\/p>\n\u65e5\u671f\u683c\u5f0f\u8f6c\u6362<\/strong><\/h2>\n
\u56db\u3001\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316<\/h3>\n<\/p>\n
1. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
# \u67e5\u770b\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f<\/p>\n\u5206\u7ec4\u5206\u6790<\/strong><\/h2>\n
2. \u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
\u4e94\u3001\u793a\u4f8b\u9879\u76ee<\/h3>\n<\/p>\n
1. \u8bfb\u53d6\u6570\u636e<\/h4>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
\u67e5\u770b\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
2. \u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
# \u68c0\u67e5\u7f3a\u5931\u503c<\/p>\n\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
\u5220\u9664\u91cd\u590d\u503c<\/strong><\/h2>\n
3. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
# \u67e5\u770b\u57fa\u672c\u7edf\u8ba1\u4fe1\u606f<\/p>\n\u8ba1\u7b97\u6bcf\u4e2a\u5546\u54c1\u7684\u603b\u9500\u552e\u91d1\u989d<\/strong><\/h2>\n
4. \u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n\u7ed8\u5236\u6bcf\u4e2a\u5546\u54c1\u7684\u603b\u9500\u552e\u91d1\u989d\u67f1\u72b6\u56fe<\/strong><\/h2>\n
\u7ed8\u5236\u9500\u552e\u6570\u91cf\u6298\u7ebf\u56fe<\/strong><\/h2>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u6700\u5e38\u7528\u7684\u662fpandas<\/code>\u548copenpyxl<\/code>\u3002\u4f7f\u7528pandas<\/code>\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7pd.read_excel('\u6587\u4ef6\u8def\u5f84')<\/code>\u76f4\u63a5\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u786e\u4fdd\u5b89\u88c5\u4e86\u76f8\u5173\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7pip install pandas openpyxl<\/code>\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n
\u5728\u8bfb\u53d6Excel\u6570\u636e\u540e\uff0cpandas<\/code>\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u65b9\u6cd5\uff0c\u4f8b\u5982DataFrame.describe()<\/code>\u6765\u83b7\u53d6\u6570\u636e\u7684\u7edf\u8ba1\u4fe1\u606f\uff0cDataFrame.groupby()<\/code>\u8fdb\u884c\u5206\u7ec4\u5206\u6790\uff0c\u4ee5\u53caDataFrame.plot()<\/code>\u751f\u6210\u53ef\u89c6\u5316\u56fe\u8868\u3002\u6b64\u5916\uff0c\u6570\u636e\u6e05\u6d17\u3001\u7f3a\u5931\u503c\u5904\u7406\u3001\u6570\u636e\u7b5b\u9009\u7b49\u529f\u80fd\u4e5f\u90fd\u53ef\u4ee5\u901a\u8fc7pandas<\/code>\u8f7b\u677e\u5b9e\u73b0\u3002<\/p>\n
\u5728\u5b8c\u6210\u6570\u636e\u5904\u7406\u540e\uff0c\u4f7f\u7528pandas<\/code>\u7684to_excel<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06DataFrame\u4fdd\u5b58\u4e3a\u65b0\u7684Excel\u6587\u4ef6\u3002\u53ea\u9700\u4f7f\u7528DataFrame.to_excel('\u8f93\u51fa\u8def\u5f84.xlsx', index=False)<\/code>\uff0c\u5176\u4e2dindex=False<\/code>\u53c2\u6570\u7528\u4e8e\u63a7\u5236\u662f\u5426\u5c06\u884c\u7d22\u5f15\u5199\u5165Excel\u6587\u4ef6\u3002\u786e\u4fdd\u5728\u4fdd\u5b58\u4e4b\u524d\u5df2\u7ecf\u5b89\u88c5\u4e86openpyxl<\/code>\u5e93\u4ee5\u652f\u6301Excel\u683c\u5f0f\u7684\u5199\u5165\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5b9e\u73b0Python\u5bf9Excel\u6570\u636e\u5904\u7406\u7684\u51e0\u4e2a\u91cd\u8981\u6b65\u9aa4\u5305\u62ec\uff1a\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\u3001\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u6570\u636e\u6e05\u6d17\u4e0e\u5904\u7406\u3001\u6570\u636e […]","protected":false},"author":3,"featured_media":1063794,"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\/1063791"}],"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=1063791"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1063791\/revisions"}],"predecessor-version":[{"id":1063797,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1063791\/revisions\/1063797"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1063794"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1063791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1063791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1063791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}