{"id":1042072,"date":"2024-12-31T12:54:24","date_gmt":"2024-12-31T04:54:24","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1042072.html"},"modified":"2024-12-31T12:54:26","modified_gmt":"2024-12-31T04:54:26","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e8%a1%a8%e6%a0%bc%e8%bd%ac%e6%8d%a2%e4%b8%ba%e6%96%87%e6%9c%ac","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1042072.html","title":{"rendered":"Python\u5982\u4f55\u5c06\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c"},"content":{"rendered":"

\"Python\u5982\u4f55\u5c06\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\"<\/p>\n

\u4f7f\u7528Python\u5c06\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001openpyxl\u5e93\u7b49\u3002<\/strong><\/p>\n<\/p>\n

\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e2a\u4efb\u52a1\u3002<\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u5177\u6709\u9ad8\u6548\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u4f7f\u5f97\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002<\/p>\n<\/p>\n

1. \u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h3>\n<\/p>\n
Pandas\u53ef\u4ee5\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u8868\u683c\u6570\u636e\uff0c\u5982CSV\u3001Excel\u7b49\u3002\u4ee5\u4e0b\u662f\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
df = pd.read_csv('table.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u8f6c\u6362\u4e3a\u6587\u672c<\/h3>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7to_string()<\/code>\u51fd\u6570\u5c06DataFrame\u8f6c\u6362\u4e3a\u6587\u672c\uff1a<\/p>\n<\/p>\n
text_data = df.to_string()<\/p>\n
print(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u6587\u672c\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1a<\/p>\n<\/p>\n
with open('table.txt', 'w') as file:<\/p>\n
    file.write(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u81ea\u5b9a\u4e49\u683c\u5f0f<\/h3>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528Pandas\u7684to_markdown()<\/code>\u3001to_latex()<\/code>\u7b49\u65b9\u6cd5\u6765\u5c06\u8868\u683c\u8f6c\u6362\u4e3a\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u672c\uff1a<\/p>\n<\/p>\n
markdown_data = df.to_markdown()<\/p>\n
print(markdown_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001CSV\u5e93<\/p>\n<\/p>\n
CSV\u5e93\u662fPython\u5185\u7f6e\u7684\u5e93\uff0c\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u3002\u867d\u7136\u529f\u80fd\u4e0d\u5982Pandas\u5f3a\u5927\uff0c\u4f46\u5bf9\u4e8e\u7b80\u5355\u7684\u8868\u683c\u8f6c\u6362\u4efb\u52a1\uff0c\u5b83\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
1. \u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u4f7f\u7528csv\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
with open('table.csv', 'r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    rows = list(reader)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8f6c\u6362\u4e3a\u6587\u672c<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u6bcf\u4e00\u884c\u548c\u6bcf\u4e00\u5217\u6765\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u6587\u672c\uff1a<\/p>\n<\/p>\n
text_data = '\\n'.join(['\\t'.join(row) for row in rows])<\/p>\n
print(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u4fdd\u5b58\u5230\u6587\u4ef6<\/h3>\n<\/p>\n
\u5c06\u6587\u672c\u6570\u636e\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
with open('table.txt', 'w') as file:<\/p>\n
    file.write(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001OPENPYXL\u5e93<\/p>\n<\/p>\n
Openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684\u5e93\u3002\u5982\u679c\u4f60\u7684\u8868\u683c\u6570\u636e\u5728Excel\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e2a\u5e93\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5Openpyxl\u5e93<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6\u8868\u683c\u6570\u636e<\/h3>\n<\/p>\n
\u4f7f\u7528openpyxl\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
workbook = load_workbook('table.xlsx')<\/p>\n
sheet = workbook.active<\/p>\n
rows = []<\/p>\n
for row in sheet.iter_rows(values_only=True):<\/p>\n
    rows.append(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u8f6c\u6362\u4e3a\u6587\u672c<\/h3>\n<\/p>\n
\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u6587\u672c\uff1a<\/p>\n<\/p>\n
text_data = '\\n'.join(['\\t'.join(map(str, row)) for row in rows])<\/p>\n
print(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u4fdd\u5b58\u5230\u6587\u4ef6<\/h3>\n<\/p>\n
\u5c06\u6587\u672c\u6570\u636e\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
with open('table.txt', 'w') as file:<\/p>\n
    file.write(text_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u65e0\u8bba\u4f7f\u7528\u54ea\u79cd\u65b9\u6cd5\uff0c\u8bfb\u53d6\u8868\u683c\u6570\u636e\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u6587\u672c\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u76f8\u4f3c\u7684\uff1a\u8bfb\u53d6\u6570\u636e\u3001\u5904\u7406\u6570\u636e\u3001\u8f93\u51fa\u6587\u672c\u3002<\/strong> Pandas\u5e93\u63d0\u4f9b\u4e86\u6700\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u4f7f\u5f97\u5904\u7406\u548c\u8f6c\u6362\u6570\u636e\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u548c\u9ad8\u6548\uff1bCSV\u5e93\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u9009\u62e9\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\uff1bOpenpyxl\u5e93\u5219\u9002\u7528\u4e8eExcel\u6587\u4ef6\u7684\u5904\u7406\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5b8c\u6210\u8868\u683c\u5230\u6587\u672c\u7684\u8f6c\u6362\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5c06Excel\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\u683c\u5f0f\uff1f<\/strong>
\u4f7f\u7528Python\u53ef\u4ee5\u5229\u7528pandas<\/code>\u5e93\u8f7b\u677e\u5c06Excel\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\u683c\u5f0f\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip install pandas openpyxl<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u7136\u540e\uff0c\u4f7f\u7528pd.read_excel()<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u518d\u901a\u8fc7DataFrame.to_csv()<\/code>\u65b9\u6cd5\u5c06\u5176\u4fdd\u5b58\u4e3a\u6587\u672c\u6587\u4ef6\uff0c\u4f8b\u5982CSV\u683c\u5f0f\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import pandas as pd\n\n# \u8bfb\u53d6Excel\u6587\u4ef6\ndf = pd.read_excel('your_file.xlsx')\n\n# \u5c06\u5176\u4fdd\u5b58\u4e3a\u6587\u672c\u6587\u4ef6\uff08CSV\u683c\u5f0f\uff09\ndf.to_csv('output_file.txt', index=False, sep='\\t')  # \u4f7f\u7528\u5236\u8868\u7b26\u5206\u9694\n<\/code><\/pre>\n
Python\u8f6c\u6362\u8868\u683c\u4e3a\u6587\u672c\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u548c\u7a7a\u503c\uff1f<\/strong>
\u5728\u8f6c\u6362\u8868\u683c\u4e3a\u6587\u672c\u65f6\uff0c\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u548c\u7a7a\u503c\u975e\u5e38\u91cd\u8981\u3002pandas<\/code>\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u9009\u9879\uff0c\u53ef\u4ee5\u901a\u8fc7fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7a7a\u503c\u3002\u5bf9\u4e8e\u7279\u6b8a\u5b57\u7b26\uff0c\u60a8\u53ef\u4ee5\u5728\u5bfc\u51fa\u4e4b\u524d\u4f7f\u7528replace()<\/code>\u65b9\u6cd5\u8fdb\u884c\u66ff\u6362\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u7a7a\u5b57\u7b26\u4e32\u66ff\u6362\u7a7a\u503c\u548c\u7279\u6b8a\u5b57\u7b26\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
df.fillna('', inplace=True)  # \u66ff\u6362\u7a7a\u503c\ndf.replace({'\u7279\u6b8a\u5b57\u7b26': '\u66ff\u4ee3\u5b57\u7b26'}, regex=True, inplace=True)  # \u66ff\u6362\u7279\u6b8a\u5b57\u7b26\ndf.to_csv('output_file.txt', index=False, sep='\\t')\n<\/code><\/pre>\n
\u8f6c\u6362\u540e\u7684\u6587\u672c\u6587\u4ef6\u683c\u5f0f\u662f\u4ec0\u4e48\u6837\u7684\uff1f\u53ef\u4ee5\u81ea\u5b9a\u4e49\u5417\uff1f<\/strong>
\u8f6c\u6362\u540e\u7684\u6587\u672c\u6587\u4ef6\u683c\u5f0f\u901a\u5e38\u662fCSV\u6216TSV\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u60a8\u5728to_csv()<\/code>\u65b9\u6cd5\u4e2d\u4f7f\u7528\u7684\u5206\u9694\u7b26\u3002\u53ef\u4ee5\u4f7f\u7528\u53c2\u6570sep<\/code>\u81ea\u5b9a\u4e49\u5206\u9694\u7b26\uff0c\u4f8b\u5982\uff0c\u4f7f\u7528\u9017\u53f7\u3001\u5236\u8868\u7b26\u6216\u5176\u4ed6\u5b57\u7b26\u3002\u8f93\u51fa\u6587\u4ef6\u7684\u7ed3\u6784\u4e5f\u53ef\u4ee5\u901a\u8fc7header<\/code>\u53c2\u6570\u6765\u63a7\u5236\uff0c\u4f8b\u5982\uff0c\u8bbe\u7f6eheader=False<\/code>\u53ef\u4ee5\u4e0d\u8f93\u51fa\u5217\u540d\u3002\u5177\u4f53\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
df.to_csv('output_file.txt', index=False, sep=',', header=True)  # \u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\uff0c\u4fdd\u7559\u5217\u540d\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u5c06\u8868\u683c\u8f6c\u6362\u4e3a\u6587\u672c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001openpyxl\u5e93\u7b49\u3002 \u5728\u672c\u6587 […]","protected":false},"author":3,"featured_media":1042078,"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\/1042072"}],"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=1042072"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1042072\/revisions"}],"predecessor-version":[{"id":1042079,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1042072\/revisions\/1042079"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1042078"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1042072"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1042072"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1042072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}