![\"python\u5982\u4f55\u6dfb\u52a0csv\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25073044\/ccff4b18-a6db-4f5a-8d47-44d807dfd45e.webp\")
<\/p>\n<\/p>\n
\u5728Python\u4e2d\u6dfb\u52a0CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5185\u7f6e\u7684 \u4e00\u3001\u4f7f\u7528CSV\u6a21\u5757<\/p>\n<\/p>\n \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u4e86\u89e3\u5982\u4f55\u4f7f\u7528 with open('file.csv', mode='r', newline='') as file:<\/p>\n # \u521b\u5efaCSV\u9605\u8bfb\u5668<\/p>\n reader = csv.reader(file)<\/p>\n # \u904d\u5386\u6bcf\u4e00\u884c<\/p>\n for row in reader:<\/p>\n print(row)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 \u5728\u4e86\u89e3\u5982\u4f55\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5b66\u4e60\u5982\u4f55\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002\u5199\u5165CSV\u6587\u4ef6\u7684\u6b65\u9aa4\u4e0e\u8bfb\u53d6\u7c7b\u4f3c\uff0c\u4f46\u9700\u8981\u4f7f\u7528 data = [['Name', 'Age', 'City'], ['Alice', 30, 'New York'], ['Bob', 25, 'Los Angeles']]<\/p>\n with open('file.csv', mode='w', newline='') as file:<\/p>\n # \u521b\u5efaCSV\u5199\u5165\u5668<\/p>\n writer = csv.writer(file)<\/p>\n # \u5199\u5165\u6570\u636e<\/p>\n writer.writerows(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868 \u5982\u679c\u6211\u4eec\u60f3\u8981\u5728\u73b0\u6709\u7684CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\u800c\u4e0d\u662f\u8986\u76d6\u539f\u6709\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u8ffd\u52a0\u6a21\u5f0f additional_data = [['Charlie', 35, 'Chicago']]<\/p>\n with open('file.csv', mode='a', newline='') as file:<\/p>\n # \u521b\u5efaCSV\u5199\u5165\u5668<\/p>\n writer = csv.writer(file)<\/p>\n # \u8ffd\u52a0\u6570\u636e<\/p>\n writer.writerows(additional_data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u5c06\u6587\u4ef6\u6a21\u5f0f\u66f4\u6539\u4e3a \u4e8c\u3001\u4f7f\u7528Pandas\u5e93<\/p>\n<\/p>\n \u8981\u4f7f\u7528 df = pd.read_csv('file.csv')<\/p>\n print(df)<\/p>\n <\/code><\/pre>\n<\/p>\n df = pd.DataFrame({<\/p>\n 'Name': ['Alice', 'Bob'],<\/p>\n 'Age': [30, 25],<\/p>\n 'City': ['New York', 'Los Angeles']<\/p>\n })<\/p>\n df.to_csv('file.csv', index=False)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u5199\u5165\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7 \u5982\u679c\u9700\u8981\u5728\u73b0\u6709CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\uff0c\u53ef\u4ee5\u5148\u8bfb\u53d6\u6587\u4ef6\uff0c\u5408\u5e76\u6570\u636e\uff0c\u7136\u540e\u91cd\u65b0\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\n df_existing = pd.read_csv('file.csv')<\/p>\n df_new = pd.DataFrame({<\/p>\n 'Name': ['Charlie'],<\/p>\n 'Age': [35],<\/p>\n 'City': ['Chicago']<\/p>\n })<\/p>\n df_combined = pd.concat([df_existing, df_new], ignore_index=True)<\/p>\n df_combined.to_csv('file.csv', index=False)<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7 \u4e09\u3001\u4f7f\u7528Numpy\u5e93<\/p>\n<\/p>\n data = np.genfromtxt('file.csv', delimiter=',', skip_header=1)<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c data = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n np.savetxt('file.csv', data, delimiter=',', header='Column1,Column2,Column3', comments='')<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u5199\u5165\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7 \u7531\u4e8e existing_data = np.genfromtxt('file.csv', delimiter=',', skip_header=1)<\/p>\n new_data = np.array([[7, 8, 9]])<\/p>\n combined_data = np.vstack((existing_data, new_data))<\/p>\n np.savetxt('file.csv', combined_data, delimiter=',', header='Column1,Column2,Column3', comments='')<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7 \u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u5904\u7406CSV\u6587\u4ef6\u7684\u65b9\u5f0f\u591a\u79cd\u591a\u6837\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u8bfb\u53d6\u548c\u5199\u5165\u64cd\u4f5c\uff0c\u5185\u7f6e\u7684 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong> \u6211\u53ef\u4ee5\u4f7f\u7528Python\u5c06\u6570\u636e\u6dfb\u52a0\u5230\u73b0\u6709\u7684CSV\u6587\u4ef6\u4e2d\u5417\uff1f<\/strong> Python\u5904\u7406CSV\u6587\u4ef6\u65f6\u5982\u4f55\u5904\u7406\u7f3a\u5931\u6570\u636e\uff1f<\/strong>csv<\/code>\u6a21\u5757\u8fdb\u884c\u8bfb\u53d6\u548c\u5199\u5165\u3001\u4f7f\u7528pandas<\/code>\u5e93\u8fdb\u884c\u64cd\u4f5c\u3001\u6216\u8005\u4f7f\u7528numpy<\/code>\u5e93\u6765\u5904\u7406\u6570\u636e\u3002<\/strong>\u5176\u4e2d\uff0ccsv<\/code>\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6a21\u5757\uff0c\u9002\u5408\u5904\u7406\u8f83\u5c0f\u7684\u6570\u636e\u96c6\uff1bpandas<\/code>\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u548c\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\uff1bnumpy<\/code>\u5219\u9002\u5408\u8fdb\u884c\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u548c\u6570\u7ec4\u5904\u7406\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u6dfb\u52a0CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\ncsv<\/code>\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6a21\u5757\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884cCSV\u6587\u4ef6\u7684\u8bfb\u53d6\u548c\u5199\u5165\u64cd\u4f5c\u3002<\/p>\n<\/p>\n\u4f7f\u7528CSV\u6a21\u5757\u8bfb\u53d6\u6570\u636e<\/h3>\n<\/p>\n
csv<\/code>\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\u6253\u5f00\u6587\u4ef6\u3001\u521b\u5efacsv.reader<\/code>\u5bf9\u8c61\uff0c\u7136\u540e\u904d\u5386\u6570\u636e\u3002<\/p>\n<\/p>\nimport csv<\/p>\n\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
open()<\/code>\u51fd\u6570\u4ee5\u53ea\u8bfb\u6a21\u5f0f\u6253\u5f00CSV\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528csv.reader()<\/code>\u521b\u5efa\u4e00\u4e2a\u9605\u8bfb\u5668\u5bf9\u8c61\u3002\u901a\u8fc7\u904d\u5386\u8fd9\u4e2a\u5bf9\u8c61\uff0c\u6211\u4eec\u53ef\u4ee5\u9010\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n\u4f7f\u7528CSV\u6a21\u5757\u5199\u5165\u6570\u636e<\/h3>\n<\/p>\n
csv.writer<\/code>\u5bf9\u8c61\u3002<\/p>\n<\/p>\nimport csv<\/p>\n\u8981\u5199\u5165\u7684\u6570\u636e<\/strong><\/h2>\n
\u6253\u5f00CSV\u6587\u4ef6\u4ee5\u5199\u5165\u6a21\u5f0f<\/strong><\/h2>\n
data<\/code>\uff0c\u7136\u540e\u4f7f\u7528csv.writer()<\/code>\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5668\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528writerows()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n\u5728CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e<\/h3>\n<\/p>\n
'a'<\/code>\u3002<\/p>\n<\/p>\nimport csv<\/p>\n\u8981\u8ffd\u52a0\u7684\u6570\u636e<\/strong><\/h2>\n
\u6253\u5f00CSV\u6587\u4ef6\u4ee5\u8ffd\u52a0\u6a21\u5f0f<\/strong><\/h2>\n
'a'<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u4e0d\u8986\u76d6\u539f\u6709\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u5c06\u65b0\u7684\u6570\u636e\u884c\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\npandas<\/code>\u5e93\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u652f\u6301\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u4efb\u52a1\u3002\u4f7f\u7528pandas<\/code>\u5904\u7406CSV\u6587\u4ef6\u975e\u5e38\u65b9\u4fbf\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
pandas<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas.read_csv()<\/code>\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u8fd4\u56de\u4e00\u4e2aDataFrame<\/code>\u5bf9\u8c61\uff0c\u652f\u6301\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
pandas<\/code>\u63d0\u4f9b\u4e86\u8bb8\u591a\u9009\u9879\u6765\u5b9a\u5236\u8bfb\u53d6\u8fc7\u7a0b\uff0c\u4f8b\u5982\u6307\u5b9a\u5206\u9694\u7b26\u3001\u5904\u7406\u7f3a\u5931\u503c\u3001\u9009\u62e9\u7279\u5b9a\u5217\u7b49\u3002<\/p>\n<\/p>\n\u4f7f\u7528Pandas\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
pandas<\/code>\u4e5f\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u4f7f\u7528DataFrame.to_csv()<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
index=False<\/code>\u53c2\u6570\u6765\u907f\u514d\u5c06\u884c\u7d22\u5f15\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n\u4f7f\u7528Pandas\u8ffd\u52a0CSV\u6570\u636e<\/h3>\n<\/p>\n
import pandas as pd<\/p>\n\u8bfb\u53d6\u73b0\u6709\u6570\u636e<\/strong><\/h2>\n
\u65b0\u6570\u636e<\/strong><\/h2>\n
\u5408\u5e76\u6570\u636e<\/strong><\/h2>\n
\u5199\u56deCSV\u6587\u4ef6<\/strong><\/h2>\n
pd.concat()<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u4e24\u4e2aDataFrame<\/code>\u5bf9\u8c61\u5408\u5e76\uff0c\u7136\u540e\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\nnumpy<\/code>\u5e93\u4e3b\u8981\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u9002\u5408\u5904\u7406\u5927\u91cf\u6570\u503c\u6570\u636e\u3002\u867d\u7136numpy<\/code>\u4e0d\u76f4\u63a5\u63d0\u4f9bCSV\u5904\u7406\u529f\u80fd\uff0c\u4f46\u53ef\u4ee5\u7ed3\u5408\u5176\u4ed6\u5de5\u5177\u4f7f\u7528\u3002<\/p>\n<\/p>\n\u4f7f\u7528Numpy\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
numpy<\/code>\u53ef\u4ee5\u901a\u8fc7numpy.genfromtxt()<\/code>\u6216numpy.loadtxt()<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\nimport numpy as np<\/p>\n\u4f7f\u7528numpy\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
delimiter=','<\/code>\u6307\u5b9a\u4e86CSV\u6587\u4ef6\u7684\u5206\u9694\u7b26\uff0cskip_header=1<\/code>\u8df3\u8fc7\u4e86\u6587\u4ef6\u7684\u6807\u9898\u884c\u3002<\/p>\n<\/p>\n\u4f7f\u7528Numpy\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
numpy<\/code>\u53ef\u4ee5\u901a\u8fc7numpy.savetxt()<\/code>\u51fd\u6570\u5c06\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\nimport numpy as np<\/p>\n\u6570\u636e\u6570\u7ec4<\/strong><\/h2>\n
\u4f7f\u7528numpy\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
header<\/code>\u53c2\u6570\u6307\u5b9a\u6587\u4ef6\u7684\u6807\u9898\u884c\uff0c\u901a\u8fc7comments=''<\/code>\u907f\u514d\u5728\u6587\u4ef6\u4e2d\u6dfb\u52a0\u6ce8\u91ca\u7b26\u53f7\u3002<\/p>\n<\/p>\n\u4f7f\u7528Numpy\u8ffd\u52a0CSV\u6570\u636e<\/h3>\n<\/p>\n
numpy<\/code>\u4e0d\u76f4\u63a5\u652f\u6301\u6587\u4ef6\u8ffd\u52a0\u64cd\u4f5c\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed3\u5408\u8bfb\u53d6\u548c\u5199\u5165\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\nimport numpy as np<\/p>\n\u8bfb\u53d6\u73b0\u6709\u6570\u636e<\/strong><\/h2>\n
\u65b0\u6570\u636e<\/strong><\/h2>\n
\u5408\u5e76\u6570\u636e<\/strong><\/h2>\n
\u5199\u56deCSV\u6587\u4ef6<\/strong><\/h2>\n
np.vstack()<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u5782\u76f4\u5408\u5e76\u4e24\u4e2a\u6570\u7ec4\uff0c\u7136\u540e\u4f7f\u7528savetxt()<\/code>\u51fd\u6570\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\ncsv<\/code>\u6a21\u5757\u5df2\u7ecf\u8db3\u591f\uff1b\u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u4efb\u52a1\uff0cpandas<\/code>\u5e93\u65e0\u7591\u662f\u6700\u4f73\u9009\u62e9\uff1b\u800c\u5bf9\u4e8e\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\uff0cnumpy<\/code>\u5e93\u5219\u662f\u975e\u5e38\u5408\u9002\u7684\u5de5\u5177\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6781\u5927\u5730\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216\u8005pandas<\/code>\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u9996\u5148\u9700\u8981\u6253\u5f00\u6587\u4ef6\u5e76\u521b\u5efa\u4e00\u4e2aCSV\u9605\u8bfb\u5668\u5bf9\u8c61\uff0c\u7136\u540e\u53ef\u4ee5\u9010\u884c\u8bfb\u53d6\u6570\u636e\u3002\u4f7f\u7528pandas<\/code>\u5e93\u5219\u66f4\u4e3a\u7b80\u4fbf\uff0c\u53ea\u9700\u8c03\u7528pandas.read_csv()<\/code>\u51fd\u6570\uff0c\u5e76\u4f20\u5165\u6587\u4ef6\u8def\u5f84\uff0c\u5373\u53ef\u5c06CSV\u6587\u4ef6\u52a0\u8f7d\u4e3aDataFrame\uff0c\u4fbf\u4e8e\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n
\u5f53\u7136\u53ef\u4ee5\uff01\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u4e2d\u7684\u5199\u5165\u529f\u80fd\uff0c\u6216\u8005\u4f7f\u7528pandas<\/code>\u5e93\u4e2d\u7684to_csv()<\/code>\u65b9\u6cd5\u3002\u901a\u8fc7\u6253\u5f00CSV\u6587\u4ef6\u5e76\u8bbe\u7f6e\u4e3a\u8ffd\u52a0\u6a21\u5f0f\uff08'a'<\/code>\uff09\uff0c\u53ef\u4ee5\u5c06\u65b0\u6570\u636e\u6dfb\u52a0\u5230\u6587\u4ef6\u672b\u5c3e\u3002\u5982\u679c\u4f7f\u7528pandas<\/code>\uff0c\u5728\u4fee\u6539DataFrame\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u8c03\u7528to_csv()<\/code>\u65b9\u6cd5\uff0c\u5e76\u8bbe\u7f6emode='a'<\/code>\u548cheader=False<\/code>\uff0c\u4ee5\u907f\u514d\u5199\u5165\u8868\u5934\u3002<\/p>\n
\u5904\u7406\u7f3a\u5931\u6570\u636e\u662f\u6570\u636e\u6e05\u6d17\u7684\u91cd\u8981\u6b65\u9aa4\u3002\u5728\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u53ef\u4ee5\u5229\u7528DataFrame<\/code>\u7684fillna()<\/code>\u65b9\u6cd5\u6765\u586b\u5145\u7f3a\u5931\u503c\uff0c\u6216\u8005\u4f7f\u7528dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u3002csv<\/code>\u6a21\u5757\u5219\u9700\u8981\u624b\u52a8\u68c0\u67e5\u548c\u5904\u7406\u7f3a\u5931\u6570\u636e\uff0c\u6bd4\u5982\u5728\u8bfb\u53d6\u6bcf\u884c\u6570\u636e\u65f6\u5224\u65ad\u503c\u662f\u5426\u4e3a\u7a7a\uff0c\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u5904\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u6dfb\u52a0CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u8fdb\u884c\u8bfb\u53d6\u548c\u5199\u5165\u3001\u4f7f\u7528pandas\u5e93\u8fdb\u884c\u64cd\u4f5c\u3001\u6216\u8005\u4f7f […]","protected":false},"author":3,"featured_media":937062,"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\/937060"}],"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=937060"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937060\/revisions"}],"predecessor-version":[{"id":937064,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/937060\/revisions\/937064"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/937062"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=937060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=937060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=937060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}