{"id":464,"date":"2025-01-14T07:13:20","date_gmt":"2025-01-13T23:13:20","guid":{"rendered":"http:\/\/sqtcw.cn\/?p=464"},"modified":"2025-01-14T07:13:20","modified_gmt":"2025-01-13T23:13:20","slug":"python%e5%9c%a8d-%e7%9b%98%e6%96%b0%e5%bb%ba%e6%96%87%e4%bb%b6%e5%a4%b9-excel100-%e5%b9%b6%e5%9c%a8%e8%af%a5%e6%96%87%e4%bb%b6%e5%a4%b9%e4%b8%ad%e5%88%9b%e5%bb%ba-excel-%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"http:\/\/www.cnitw.com\/?p=464","title":{"rendered":"Python\u5728D \u76d8\u65b0\u5efa\u6587\u4ef6\u5939 EXCEL100 \u5e76\u5728\u8be5\u6587\u4ef6\u5939\u4e2d\u521b\u5efa Excel \u6587\u4ef6"},"content":{"rendered":"\n

\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\uff0c\u7528\u4e8e\u5728 D \u76d8\u65b0\u5efa\u6587\u4ef6\u5939 EXCEL100<\/code> \u5e76\u5728\u8be5\u6587\u4ef6\u5939\u4e2d\u521b\u5efa Excel \u6587\u4ef6\uff1a<\/p>\n\n\n\n

import os\nimport pandas as pd\n\n# \u5728 D \u76d8\u521b\u5efa\u6587\u4ef6\u5939\nfolder_path = 'D:\\\\EXCEL100'\nif not os.path.exists(folder_path):\n    os.makedirs(folder_path)\n\n# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b DataFrame\ndata = {'Name': ['Alice', 'Bob', 'Charlie'],\n        'Age': [25, 30, 35]}\ndf = pd.DataFrame(data)\n\n# \u4fdd\u5b58 Excel \u6587\u4ef6\u5230\u65b0\u5efa\u7684\u6587\u4ef6\u5939\u4e2d\nexcel_file_path = os.path.join(folder_path, 'new_file.xlsx')\ndf.to_excel(excel_file_path, index=False)<\/code><\/pre>\n\n\n\n
\u4e0a\u8ff0\u4ee3\u7801\u9996\u5148\u68c0\u67e5\u6307\u5b9a\u7684\u6587\u4ef6\u5939\u662f\u5426\u5b58\u5728\uff0c\u5982\u679c\u4e0d\u5b58\u5728\u5219\u521b\u5efa\u5b83\u3002\u7136\u540e\u521b\u5efa\u6570\u636e\u5e76\u4fdd\u5b58 Excel \u6587\u4ef6\u5230\u8be5\u6587\u4ef6\u5939\u4e2d\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u4ee5\u4e0b\u662f\u5bf9\u4e0a\u8ff0\u4ee3\u7801\u7684\u8be6\u7ec6\u89e3\u6790\uff1a<\/p>\n\n\n\n
import os\nimport pandas as pd<\/code><\/pre>\n\n\n\n
\u8fd9\u4e24\u884c\u5206\u522b\u5bfc\u5165\u4e86 os<\/code> \u5e93\u548c pandas<\/code> \u5e93\u3002os<\/code> \u5e93\u7528\u4e8e\u64cd\u4f5c\u7cfb\u7edf\u76f8\u5173\u7684\u64cd\u4f5c\uff0c\u5982\u521b\u5efa\u6587\u4ef6\u5939\uff1bpandas<\/code> \u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u521b\u5efa DataFrame<\/code> \u3002<\/p>\n\n\n\n
\u5728 import pandas as pd<\/code> \u8fd9\u884c\u4ee3\u7801\u4e2d\uff0cpd<\/code> \u662f\u7ed9 pandas<\/code> \u5e93\u8d77\u7684\u4e00\u4e2a\u522b\u540d\u3002<\/p>\n\n\n\n
\u8fd9\u6837\u505a\u7684\u597d\u5904\u662f\uff0c\u5728\u540e\u7eed\u7684\u4ee3\u7801\u4e2d\uff0c\u5f53\u4f60\u9700\u8981\u4f7f\u7528 pandas<\/code> \u5e93\u63d0\u4f9b\u7684\u529f\u80fd\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u66f4\u7b80\u77ed\u7684 pd<\/code> \u6765\u4ee3\u66ff\u5b8c\u6574\u7684 pandas<\/code> \u8fdb\u884c\u8c03\u7528\uff0c\u4f7f\u4ee3\u7801\u66f4\u7b80\u6d01\u3001\u6613\u8bfb\u548c\u4e66\u5199\u3002<\/p>\n\n\n\n
\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u6ca1\u6709\u4f7f\u7528\u522b\u540d\uff0c\u8981\u8bfb\u53d6\u4e00\u4e2a Excel \u6587\u4ef6\u53ef\u80fd\u9700\u8981\u8fd9\u6837\u5199\uff1apandas.read_excel('file.xlsx')<\/code> \u3002<\/p>\n\n\n\n
\u800c\u4f7f\u7528\u4e86\u522b\u540d pd<\/code> \u540e\uff0c\u5c31\u53ef\u4ee5\u5199\u6210\uff1apd.read_excel('file.xlsx')<\/code> \uff0c\u66f4\u52a0\u65b9\u4fbf\u548c\u5feb\u6377\u3002<\/p>\n\n\n\n
folder_path = 'D:\\\\EXCEL100'<\/code><\/pre>\n\n\n\n
\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5b57\u7b26\u4e32\u53d8\u91cf folder_path<\/code>\uff0c\u8868\u793a\u8981\u521b\u5efa\u7684\u6587\u4ef6\u5939\u7684\u8def\u5f84\uff0c\u5373\u5728 D \u76d8\u4e0b\u7684 EXCEL100<\/code> \u6587\u4ef6\u5939\u3002<\/p>\n\n\n\n
if not os.path.exists(folder_path):\n    os.makedirs(folder_path)<\/code><\/pre>\n\n\n\n
\u8fd9\u6bb5\u4ee3\u7801\u4f7f\u7528 os.path.exists<\/code> \u51fd\u6570\u68c0\u67e5\u6307\u5b9a\u7684\u6587\u4ef6\u5939\u8def\u5f84\u662f\u5426\u5b58\u5728\u3002\u5982\u679c\u4e0d\u5b58\u5728\uff08not os.path.exists(folder_path)<\/code> \uff09\uff0c\u5219\u4f7f\u7528 os.makedirs<\/code> \u51fd\u6570\u521b\u5efa\u8be5\u6587\u4ef6\u5939\u53ca\u5176\u6240\u6709\u5fc5\u8981\u7684\u7236\u6587\u4ef6\u5939\u3002<\/p>\n\n\n\n
data = {'Name': ['Alice', 'Bob', 'Charlie'],\n        'Age': [25, 30, 35]}\ndf = pd.DataFrame(data)<\/code><\/pre>\n\n\n\n
\u8fd9\u91cc\u521b\u5efa\u4e86\u4e00\u4e2a\u5b57\u5178 data<\/code> \uff0c\u5176\u4e2d\u5305\u542b\u4e86\u5217\u540d\u548c\u5bf9\u5e94\u7684\u5217\u6570\u636e\u3002\u7136\u540e\u4f7f\u7528 pandas<\/code> \u7684 DataFrame<\/code> \u7c7b\u5c06\u8fd9\u4e2a\u5b57\u5178\u8f6c\u6362\u4e3a\u4e00\u4e2a DataFrame<\/code> \u5bf9\u8c61 df<\/code> \u3002<\/p>\n\n\n\n
excel_file_path = os.path.join(folder_path, 'new_file.xlsx')<\/code><\/pre>\n\n\n\n
\u901a\u8fc7 os.path.join<\/code> \u51fd\u6570\u5c06\u6587\u4ef6\u5939\u8def\u5f84\u548c\u6587\u4ef6\u540d\u7ec4\u5408\u6210\u4e00\u4e2a\u5b8c\u6574\u7684\u6587\u4ef6\u8def\u5f84 excel_file_path<\/code> \u3002<\/p>\n\n\n\n
df.to_excel(excel_file_path, index=False)<\/code><\/pre>\n\n\n\n
\u4f7f\u7528 DataFrame<\/code> \u7684 to_excel<\/code> \u65b9\u6cd5\u5c06\u6570\u636e\u4fdd\u5b58\u4e3a Excel \u6587\u4ef6\u3002index=False<\/code> \u53c2\u6570\u8868\u793a\u5728\u4fdd\u5b58\u65f6\u4e0d\u5305\u542b\u7d22\u5f15\u5217\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\uff0c\u7528\u4e8e\u5728 D \u76d8\u65b0\u5efa\u6587\u4ef6\u5939 EXCEL100 \u5e76\u5728\u8be5\u6587\u4ef6\u5939\u4e2d\u521b\u5efa Excel \u6587\u4ef6\uff1a \u4e0a\u8ff0\u4ee3\u7801\u9996\u5148\u68c0\u67e5\u6307\u5b9a\u7684\u6587\u4ef6\u5939\u662f\u5426\u5b58\u5728\uff0c\u5982\u679c\u4e0d\u5b58\u5728\u5219\u521b\u5efa\u5b83\u3002\u7136\u540e\u521b\u5efa\u6570\u636e\u5e76\u4fdd\u5b58 Excel \u6587\u4ef6\u5230\u8be5\u6587\u4ef6\u5939\u4e2d\u3002 \u4ee5\u4e0b\u662f\u5bf9\u4e0a\u8ff0\u4ee3\u7801\u7684\u8be6\u7ec6\u89e3\u6790\uff1a \u8fd9\u4e24\u884c\u5206\u522b\u5bfc\u5165\u4e86 os \u5e93\u548c pandas \u5e93\u3002os \u5e93\u7528\u4e8e\u64cd\u4f5c\u7cfb\u7edf\u76f8\u5173\u7684\u64cd\u4f5c\uff0c\u5982\u521b\u5efa\u6587\u4ef6\u5939\uff1bpandas \u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u521b\u5efa DataFrame \u3002 \u5728 import pandas as pd \u8fd9\u884c\u4ee3\u7801\u4e2d\uff0cpd \u662f\u7ed9 pandas \u5e93\u8d77\u7684\u4e00\u4e2a\u522b\u540d\u3002 \u8fd9\u6837\u505a\u7684\u597d\u5904\u662f\uff0c\u5728\u540e\u7eed\u7684\u4ee3\u7801\u4e2d\uff0c\u5f53\u4f60\u9700\u8981\u4f7f\u7528…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,16],"tags":[],"class_list":["post-464","post","type-post","status-publish","format-standard","hentry","category-python","category-16"],"_links":{"self":[{"href":"http:\/\/www.cnitw.com\/index.php?rest_route=\/wp\/v2\/posts\/464","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.cnitw.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.cnitw.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.cnitw.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cnitw.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=464"}],"version-history":[{"count":0,"href":"http:\/\/www.cnitw.com\/index.php?rest_route=\/wp\/v2\/posts\/464\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.cnitw.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=464"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.cnitw.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=464"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.cnitw.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=464"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}