![\"python\u5982\u4f55\u6293\u53d6txt\u6570\u636e\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25172331\/14b3a135-6111-4148-afd3-60743cfab7e2.webp\")
<\/p>\n<\/p>\n
Python\u6293\u53d6txt\u6570\u636e\u7684\u65b9\u5f0f\u6709\u5f88\u591a\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684 Python\u5185\u7f6e\u7684 \u4f7f\u7528 file_path = 'example.txt'<\/p>\n with open(file_path, 'r', encoding='utf-8') as file:<\/p>\n data = file.read()<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u6709\u65f6\u5019\u6211\u4eec\u9700\u8981\u6309\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0c\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u6bcf\u4e00\u884c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n file_path = 'example.txt'<\/p>\n with open(file_path, 'r', encoding='utf-8') as file:<\/p>\n for line in file:<\/p>\n print(line.strip())<\/p>\n <\/code><\/pre>\n<\/p>\n \u5982\u679ctxt\u6587\u4ef6\u662f\u5e26\u6709\u7279\u5b9a\u5206\u9694\u7b26\u7684\u6570\u636e\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528 import pandas as pd<\/p>\n file_path = 'example.txt'<\/p>\n data = pd.read_csv(file_path, sep='\\t', encoding='utf-8')<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5bf9\u4e8e\u5b9a\u5bbd\u683c\u5f0f\u7684txt\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528 import pandas as pd<\/p>\n file_path = 'example.txt'<\/p>\n data = pd.read_fwf(file_path, encoding='utf-8')<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528 import requests<\/p>\n url = 'https:\/\/example.com\/example.txt'<\/p>\n response = requests.get(url)<\/p>\n data = response.text<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u6293\u53d6\u5230\u7684txt\u6570\u636e\u53ef\u4ee5\u4fdd\u5b58\u5230\u672c\u5730\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u540e\u7eed\u5904\u7406\u3002<\/p>\n<\/p>\n import requests<\/p>\n url = 'https:\/\/example.com\/example.txt'<\/p>\n response = requests.get(url)<\/p>\n with open('example.txt', 'w', encoding='utf-8') as file:<\/p>\n file.write(response.text)<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528 import requests<\/p>\n from bs4 import BeautifulSoup<\/p>\n url = 'https:\/\/example.com'<\/p>\n response = requests.get(url)<\/p>\n soup = BeautifulSoup(response.content, 'html.parser')<\/p>\n txt_data = soup.find_all('pre') # \u5047\u8bbetxt\u6570\u636e\u5728<pre>\u6807\u7b7e\u4e2d<\/p>\n for data in txt_data:<\/p>\n print(data.get_text())<\/p>\n <\/code><\/pre>\n<\/p>\n \u63d0\u53d6\u5230\u7684txt\u6570\u636e\u53ef\u4ee5\u4fdd\u5b58\u5230\u672c\u5730\u6587\u4ef6\u4e2d\uff0c\u4ee5\u4fbf\u540e\u7eed\u5904\u7406\u3002<\/p>\n<\/p>\n import requests<\/p>\n from bs4 import BeautifulSoup<\/p>\n url = 'https:\/\/example.com'<\/p>\n response = requests.get(url)<\/p>\n soup = BeautifulSoup(response.content, 'html.parser')<\/p>\n txt_data = soup.find_all('pre') # \u5047\u8bbetxt\u6570\u636e\u5728<pre>\u6807\u7b7e\u4e2d<\/p>\n with open('example.txt', 'w', encoding='utf-8') as file:<\/p>\n for data in txt_data:<\/p>\n file.write(data.get_text())<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5f80\u5f80\u9700\u8981\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u6765\u6293\u53d6\u548c\u5904\u7406txt\u6570\u636e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5148\u4f7f\u7528 import requests<\/p>\n import pandas as pd<\/p>\n url = 'https:\/\/example.com\/example.txt'<\/p>\n response = requests.get(url)<\/p>\n data = response.text<\/p>\n from io import StringIO<\/p>\n data_io = StringIO(data)<\/p>\n df = pd.read_csv(data_io, sep='\\t', encoding='utf-8')<\/p>\n print(df)<\/p>\n <\/code><\/pre>\n<\/p>\n \u6293\u53d6\u5230txt\u6570\u636e\u540e\uff0c\u5f80\u5f80\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n \u6570\u636e\u6e05\u6d17\u662f\u6570\u636e\u5206\u6790\u7684\u91cd\u8981\u6b65\u9aa4\uff0c\u53ef\u4ee5\u4f7f\u7528 import pandas as pd<\/p>\n df = pd.DataFrame({<\/p>\n 'col1': ['A', 'B', 'C', 'D'],<\/p>\n 'col2': [1, 2, None, 4]<\/p>\n })<\/p>\n df = df.dropna()<\/p>\n df = df.fillna(0)<\/p>\n df = df.drop_duplicates()<\/p>\n print(df)<\/p>\n <\/code><\/pre>\n<\/p>\n \u6570\u636e\u5206\u6790\u53ef\u4ee5\u4f7f\u7528 import pandas as pd<\/p>\n import matplotlib.pyplot as plt<\/p>\n df = pd.DataFrame({<\/p>\n 'col1': ['A', 'B', 'C', 'D'],<\/p>\n 'col2': [1, 2, 3, 4]<\/p>\n })<\/p>\n summary = df.describe()<\/p>\n print(summary)<\/p>\n df.plot(kind='bar', x='col1', y='col2')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u6293\u53d6\u548c\u5904\u7406txt\u6570\u636e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u9879\u76ee\u6765\u8fdb\u884c\u6f14\u793a\u3002<\/p>\n<\/p>\n \u5047\u8bbe\u6211\u4eec\u9700\u8981\u4ece\u4e00\u4e2a\u7f51\u7ad9\u4e0a\u6293\u53d6\u80a1\u7968\u6570\u636e\uff0c\u5e76\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n import requests<\/p>\n import pandas as pd<\/p>\n import matplotlib.pyplot as plt<\/p>\n url = 'https:\/\/example.com\/stocks.txt'<\/p>\n response = requests.get(url)<\/p>\n data = response.text<\/p>\n from io import StringIO<\/p>\n data_io = StringIO(data)<\/p>\n df = pd.read_csv(data_io, sep='\\t', encoding='utf-8')<\/p>\n df = df.dropna()<\/p>\n df = df.drop_duplicates()<\/p>\n summary = df.describe()<\/p>\n print(summary)<\/p>\n df.plot(kind='line', x='Date', y='Close')<\/p>\n plt.title('Stock Prices Over Time')<\/p>\n plt.xlabel('Date')<\/p>\n plt.ylabel('Close Price')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u4ee5\u4e0a\u793a\u4f8b\u9879\u76ee\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u7ed3\u5408\u4f7f\u7528 \u5982\u4f55\u4f7f\u7528Python\u4ecetxt\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff1f<\/strong> \u6293\u53d6txt\u6570\u636e\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u7528\u7684\u5e93\u53ef\u4ee5\u8f85\u52a9\uff1f<\/strong> \u5904\u7406txt\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u683c\u5f0f\u6570\u636e\u65f6\uff0c\u6709\u4ec0\u4e48\u5efa\u8bae\u5417\uff1f<\/strong>open<\/code>\u51fd\u6570\u3001pandas<\/code>\u5e93\u3001requests<\/code>\u5e93\u3001BeautifulSoup<\/code>\u5e93\u7b49\u3002\u901a\u8fc7\u4f7f\u7528\u5185\u7f6e\u7684open<\/code>\u51fd\u6570\u3001pandas<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u672c\u5730txt\u6587\u4ef6\uff0c\u901a\u8fc7requests<\/code>\u5e93\u53ef\u4ee5\u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\uff0c\u901a\u8fc7BeautifulSoup<\/code>\u5e93\u53ef\u4ee5\u89e3\u6790\u5e76\u63d0\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e<\/strong>\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u6293\u53d6txt\u6570\u636e\u3002<\/p>\n<\/p>\n\u4e00\u3001\u4f7f\u7528\u5185\u7f6e\u7684
open<\/code>\u51fd\u6570<\/h3>\n<\/p>\nopen<\/code>\u51fd\u6570\u662f\u6700\u57fa\u672c\u7684\u6587\u4ef6\u8bfb\u53d6\u65b9\u6cd5\uff0c\u5b83\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u672c\u5730txt\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n1. \u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u5185\u5bb9<\/h4>\n<\/p>\n
open<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u6574\u4e2atxt\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u5b57\u7b26\u4e32\u53d8\u91cf\u4e2d\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u5185\u5bb9<\/p>\n2. \u6309\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801\uff1a\u6309\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/p>\n\u4e8c\u3001\u4f7f\u7528
pandas<\/code>\u5e93<\/h3>\n<\/p>\npandas<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\uff0c\u8fd8\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6txt\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n1. \u8bfb\u53d6\u5e26\u5206\u9694\u7b26\u7684txt\u6587\u4ef6<\/h4>\n<\/p>\n
pandas.read_csv<\/code>\u51fd\u6570\u8bfb\u53d6\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u8bfb\u53d6\u5e26\u5206\u9694\u7b26\u7684txt\u6587\u4ef6<\/p>\n2. \u8bfb\u53d6\u5b9a\u5bbd\u683c\u5f0f\u7684txt\u6587\u4ef6<\/h4>\n<\/p>\n
pandas.read_fwf<\/code>\u51fd\u6570\u8bfb\u53d6\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u8bfb\u53d6\u5b9a\u5bbd\u683c\u5f0f\u7684txt\u6587\u4ef6<\/p>\n\u4e09\u3001\u4f7f\u7528
requests<\/code>\u5e93<\/h3>\n<\/p>\nrequests<\/code>\u5e93\u662f\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684HTTP\u5e93\uff0c\u5b83\u53ef\u4ee5\u65b9\u4fbf\u5730\u4ece\u7f51\u9875\u4e0a\u6293\u53d6txt\u6570\u636e\u3002<\/p>\n<\/p>\n1. \u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e<\/h4>\n<\/p>\n
requests.get<\/code>\u51fd\u6570\u53ef\u4ee5\u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u5b57\u7b26\u4e32\u53d8\u91cf\u4e2d\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e<\/p>\n2. \u4fdd\u5b58\u6293\u53d6\u7684txt\u6570\u636e\u5230\u672c\u5730\u6587\u4ef6<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801\uff1a\u4fdd\u5b58\u6293\u53d6\u7684txt\u6570\u636e\u5230\u672c\u5730\u6587\u4ef6<\/p>\n\u56db\u3001\u4f7f\u7528
BeautifulSoup<\/code>\u5e93<\/h3>\n<\/p>\nBeautifulSoup<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7f51\u9875\u89e3\u6790\u5e93\uff0c\u5b83\u53ef\u4ee5\u65b9\u4fbf\u5730\u89e3\u6790\u5e76\u63d0\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\u3002<\/p>\n<\/p>\n1. \u89e3\u6790\u7f51\u9875\u5e76\u63d0\u53d6txt\u6570\u636e<\/h4>\n<\/p>\n
BeautifulSoup<\/code>\u5e93\u53ef\u4ee5\u89e3\u6790\u7f51\u9875\u7684HTML\u7ed3\u6784\uff0c\u5e76\u63d0\u53d6\u5176\u4e2d\u7684txt\u6570\u636e\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u89e3\u6790\u7f51\u9875\u5e76\u63d0\u53d6txt\u6570\u636e<\/p>\n2. \u4fdd\u5b58\u63d0\u53d6\u7684txt\u6570\u636e\u5230\u672c\u5730\u6587\u4ef6<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801\uff1a\u4fdd\u5b58\u63d0\u53d6\u7684txt\u6570\u636e\u5230\u672c\u5730\u6587\u4ef6<\/p>\n\u4e94\u3001\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5<\/h3>\n<\/p>\n
requests<\/code>\u5e93\u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528pandas<\/code>\u5e93\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n1. \u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\u5e76\u4f7f\u7528pandas\u5904\u7406<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801\uff1a\u6293\u53d6\u7f51\u9875\u4e0a\u7684txt\u6570\u636e\u5e76\u4f7f\u7528pandas\u5904\u7406<\/p>\n\u5047\u8bbetxt\u6570\u636e\u662f\u5e26\u5206\u9694\u7b26\u7684\u6570\u636e<\/strong><\/h2>\n
\u516d\u3001\u5904\u7406\u548c\u5206\u6790txt\u6570\u636e<\/h3>\n<\/p>\n
1. \u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
pandas<\/code>\u5e93\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u6570\u636e\u6e05\u6d17<\/p>\n\u5047\u8bbe\u5df2\u7ecf\u8bfb\u53d6\u5230\u6570\u636e\u5e76\u5b58\u50a8\u5728DataFrame\u4e2d<\/strong><\/h2>\n
\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
\u5220\u9664\u91cd\u590d\u884c<\/strong><\/h2>\n
2. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
pandas<\/code>\u5e93\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u3002<\/p>\n<\/p>\n# \u793a\u4f8b\u4ee3\u7801\uff1a\u6570\u636e\u5206\u6790<\/p>\n\u5047\u8bbe\u5df2\u7ecf\u8bfb\u53d6\u5230\u6570\u636e\u5e76\u5b58\u50a8\u5728DataFrame\u4e2d<\/strong><\/h2>\n
\u7edf\u8ba1\u5206\u6790<\/strong><\/h2>\n
\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/h2>\n
\u4e03\u3001\u793a\u4f8b\u9879\u76ee<\/h3>\n<\/p>\n
1. \u9879\u76ee\u9700\u6c42<\/h4>\n<\/p>\n
\n
requests<\/code>\u5e93\u6293\u53d6\u80a1\u7968\u6570\u636e\u3002<\/li>\npandas<\/code>\u5e93\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u5904\u7406\u3002<\/li>\nmatplotlib<\/code>\u5e93\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/li>\n<\/ol>\n2. \u9879\u76ee\u5b9e\u73b0<\/h4>\n<\/p>\n
# \u793a\u4f8b\u4ee3\u7801\uff1a\u6293\u53d6\u548c\u5206\u6790\u80a1\u7968\u6570\u636e<\/p>\n\u6b65\u9aa41\uff1a\u6293\u53d6\u80a1\u7968\u6570\u636e<\/strong><\/h2>\n
\u6b65\u9aa42\uff1a\u4f7f\u7528pandas\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u5904\u7406<\/strong><\/h2>\n
\u6570\u636e\u6e05\u6d17<\/strong><\/h2>\n
\u6b65\u9aa43\uff1a\u5bf9\u6570\u636e\u8fdb\u884c\u7edf\u8ba1\u5206\u6790<\/strong><\/h2>\n
\u6b65\u9aa44\uff1a\u4f7f\u7528matplotlib\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/h2>\n
requests<\/code>\u3001pandas<\/code>\u548cmatplotlib<\/code>\u5e93\u6765\u6293\u53d6\u3001\u5904\u7406\u548c\u5206\u6790txt\u6570\u636e\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u591f\u5e2e\u52a9\u5927\u5bb6\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u6293\u53d6txt\u6570\u636e\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
Python\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u6587\u4ef6\u64cd\u4f5c\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u6765\u6253\u5f00txt\u6587\u4ef6\uff0c\u63a5\u7740\u4f7f\u7528read()<\/code>\u3001readline()<\/code>\u6216readlines()<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u4f7f\u7528with open('file.txt', 'r') as file:<\/code>\u53ef\u4ee5\u5b89\u5168\u5730\u6253\u5f00\u6587\u4ef6\u5e76\u786e\u4fdd\u5728\u8bfb\u53d6\u5b8c\u6210\u540e\u81ea\u52a8\u5173\u95ed\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u9664\u4e86\u57fa\u672c\u7684\u6587\u4ef6\u64cd\u4f5c\u5916\uff0c\u8bf8\u5982pandas<\/code>\u548cnumpy<\/code>\u7b49\u5e93\u4e5f\u53ef\u4ee5\u5e2e\u52a9\u5904\u7406txt\u6570\u636e\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u80fd\u591f\u8f7b\u677e\u5730\u5c06txt\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u5206\u6790\u548c\u64cd\u4f5c\u3002<\/p>\n
\u5f53\u4f60\u7684txt\u6587\u4ef6\u4e2d\u5305\u542b\u7279\u5b9a\u683c\u5f0f\u7684\u6570\u636e\uff08\u4f8b\u5982\uff0c\u5206\u9694\u7b26\u6216\u7279\u5b9a\u7f16\u7801\uff09\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u65f6\u6307\u5b9a\u53c2\u6570\u3002\u4f7f\u7528open('file.txt', 'r', encoding='utf-8')<\/code>\u6765\u786e\u4fdd\u6b63\u786e\u8bfb\u53d6\u6587\u4ef6\u7684\u7f16\u7801\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\uff0c\u914d\u5408delimiter<\/code>\u53c2\u6570\u6765\u5904\u7406\u4ee5\u9017\u53f7\u3001\u5236\u8868\u7b26\u6216\u5176\u4ed6\u5b57\u7b26\u5206\u9694\u7684\u6570\u636e\uff0c\u4fbf\u4e8e\u63d0\u53d6\u6240\u9700\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u6293\u53d6txt\u6570\u636e\u7684\u65b9\u5f0f\u6709\u5f88\u591a\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684open\u51fd\u6570\u3001pandas\u5e93\u3001requests […]","protected":false},"author":3,"featured_media":1148617,"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\/1148610"}],"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=1148610"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1148610\/revisions"}],"predecessor-version":[{"id":1148619,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1148610\/revisions\/1148619"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1148617"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1148610"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1148610"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1148610"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}