{"id":1066389,"date":"2024-12-31T16:25:55","date_gmt":"2024-12-31T08:25:55","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1066389.html"},"modified":"2024-12-31T16:25:58","modified_gmt":"2024-12-31T08:25:58","slug":"python%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98%e6%95%b0%e6%8d%ae%e8%a1%a8%e4%b8%bacsv-3","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1066389.html","title":{"rendered":"python\u5982\u4f55\u4fdd\u5b58\u6570\u636e\u8868\u4e3acsv"},"content":{"rendered":"

\"python\u5982\u4f55\u4fdd\u5b58\u6570\u636e\u8868\u4e3acsv\"<\/p>\n

\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u51e0\u79cd\u5e38\u7528\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528csv\u5e93\u3001\u4f7f\u7528numpy\u5e93<\/strong>\u3002\u8fd9\u4e09\u79cd\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u5177\u4f53\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n

\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n

pandas<\/strong> \u662fPython\u6570\u636e\u5206\u6790\u4e2d\u6700\u5e38\u7528\u7684\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u4f7f\u7528pandas\u5e93\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u65b9\u6cd5\u975e\u5e38\u7b80\u5355\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8bDataFrame<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
    'Age': [25, 30, 35],<\/p>\n
    'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u4fdd\u5b58DataFrame\u4e3aCSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('data.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86pandas\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u793a\u4f8bDataFrame\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528DataFrame.to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002index=False<\/code>\u53c2\u6570\u7528\u4e8e\u907f\u514d\u5728CSV\u6587\u4ef6\u4e2d\u4fdd\u5b58\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4f7f\u7528csv\u5e93<\/h3>\n<\/p>\n
csv<\/strong> \u662fPython\u5185\u7f6e\u7684\u5e93\uff0c\u7528\u4e8e\u8bfb\u5199CSV\u6587\u4ef6\u3002\u4f7f\u7528csv\u5e93\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u65b9\u6cd5\u76f8\u5bf9\u7e41\u7410\uff0c\u4f46\u5b83\u662f\u4e00\u4e2a\u975e\u5e38\u5e95\u5c42\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u8868<\/strong><\/h2>\n
data = [<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 25, 'New York'],<\/p>\n
    ['Bob', 30, 'Los Angeles'],<\/p>\n
    ['Charlie', 35, 'Chicago']<\/p>\n
]<\/p>\n
\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6<\/strong><\/h2>\n
with open('data.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86csv\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u8868\uff08\u5217\u8868\u7684\u5217\u8868\uff09\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528csv.writer<\/code>\u5c06\u6570\u636e\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n
numpy<\/strong> \u662fPython\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u867d\u7136\u5b83\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u7ec4<\/strong><\/h2>\n
data = np.array([<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 25, 'New York'],<\/p>\n
    ['Bob', 30, 'Los Angeles'],<\/p>\n
    ['Charlie', 35, 'Chicago']<\/p>\n
])<\/p>\n
\u4fdd\u5b58\u6570\u7ec4\u4e3aCSV\u6587\u4ef6<\/strong><\/h2>\n
np.savetxt('data.csv', data, delimiter=',', fmt='%s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86numpy\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u793a\u4f8b\u6570\u7ec4\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528numpy.savetxt<\/code>\u65b9\u6cd5\u5c06\u6570\u7ec4\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002delimiter<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u5217\u4e4b\u95f4\u7684\u5206\u9694\u7b26\uff0cfmt<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u6570\u636e\u7684\u683c\u5f0f\u3002<\/p>\n<\/p>\n
\u4f7f\u7528pandas\u5e93\u8be6\u7ec6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u7531\u4e8epandas\u5e93\u5728\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u65b9\u9762\u5177\u6709\u975e\u5e38\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528pandas\u5e93\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u66f4\u591a\u9009\u9879\u548c\u6280\u5de7\u3002<\/p>\n<\/p>\n
\u4fdd\u5b58\u5e26\u6709\u7d22\u5f15\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u5e0c\u671b\u5c06DataFrame\u7684\u7d22\u5f15\u4e5f\u4fdd\u5b58\u5230CSV\u6587\u4ef6\u4e2d\u3002\u53ef\u4ee5\u901a\u8fc7\u7701\u7565index=False<\/code>\u53c2\u6570\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
df.to_csv('data_with_index.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u7279\u5b9a\u5217\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u53ea\u60f3\u4fdd\u5b58DataFrame\u7684\u67d0\u4e9b\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528columns<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u8981\u4fdd\u5b58\u7684\u5217\u3002<\/p>\n<\/p>\n
df.to_csv('data_subset.csv', columns=['Name', 'City'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u5e26\u6709\u81ea\u5b9a\u4e49\u5206\u9694\u7b26\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cDataFrame.to_csv<\/code>\u65b9\u6cd5\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\u3002\u5982\u679c\u6211\u4eec\u5e0c\u671b\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\uff08\u4f8b\u5982\u5236\u8868\u7b26\uff09\uff0c\u53ef\u4ee5\u4f7f\u7528sep<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u3002<\/p>\n<\/p>\n
df.to_csv('data_tab_separated.csv', sep='\\t')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u5728\u5b9e\u9645\u6570\u636e\u5904\u7406\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002DataFrame.to_csv<\/code>\u65b9\u6cd5\u63d0\u4f9b\u4e86na_rep<\/code>\u53c2\u6570\uff0c\u7528\u4e8e\u6307\u5b9a\u7f3a\u5931\u503c\u5728CSV\u6587\u4ef6\u4e2d\u7684\u8868\u793a\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
df_with_nan = df.copy()<\/p>\n
df_with_nan.loc[1, 'Age'] = None  # \u6dfb\u52a0\u4e00\u4e2a\u7f3a\u5931\u503c<\/p>\n
df_with_nan.to_csv('data_with_nan.csv', na_rep='NA')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8bbe\u7f6e\u6d6e\u70b9\u6570\u7cbe\u5ea6<\/h4>\n<\/p>\n
\u5982\u679cDataFrame\u4e2d\u5305\u542b\u6d6e\u70b9\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528float_format<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u4fdd\u5b58\u5230CSV\u6587\u4ef6\u4e2d\u7684\u6d6e\u70b9\u6570\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n
df_float = pd.DataFrame({<\/p>\n
    'Value': [1.12345, 2.67890, 3.14159]<\/p>\n
})<\/p>\n
df_float.to_csv('data_float.csv', float_format='%.2f')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528csv\u5e93\u8be6\u7ec6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u5c3d\u7ba1csv\u5e93\u7684\u65b9\u6cd5\u8f83\u4e3a\u5e95\u5c42\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n
\u5199\u5165\u5b57\u5178<\/h4>\n<\/p>\n
csv\u5e93\u7684DictWriter<\/code>\u7c7b\u5141\u8bb8\u6211\u4eec\u5c06\u5b57\u5178\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\uff0c\u8fd9\u5728\u5904\u7406JSON\u6570\u636e\u6216\u5176\u4ed6\u5b57\u5178\u683c\u5f0f\u6570\u636e\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u5b57\u5178\u5217\u8868<\/strong><\/h2>\n
data = [<\/p>\n
    {'Name': 'Alice', 'Age': 25, 'City': 'New York'},<\/p>\n
    {'Name': 'Bob', 'Age': 30, 'City': 'Los Angeles'},<\/p>\n
    {'Name': 'Charlie', 'Age': 35, 'City': 'Chicago'}<\/p>\n
]<\/p>\n
\u4fdd\u5b58\u5b57\u5178\u5217\u8868\u4e3aCSV\u6587\u4ef6<\/strong><\/h2>\n
with open('data_dict.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.DictWriter(file, fieldnames=['Name', 'Age', 'City'])<\/p>\n
    writer.writeheader()<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5904\u7406\u7279\u6b8a\u5b57\u7b26<\/h4>\n<\/p>\n
\u5728\u5904\u7406\u5305\u542b\u7279\u6b8a\u5b57\u7b26\uff08\u4f8b\u5982\u9017\u53f7\u3001\u5f15\u53f7\u3001\u6362\u884c\u7b26\u7b49\uff09\u7684\u6570\u636e\u65f6\uff0ccsv\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e9b\u53c2\u6570\u6765\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u8868\uff0c\u5305\u542b\u7279\u6b8a\u5b57\u7b26<\/strong><\/h2>\n
data = [<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 25, 'New York, NY'],<\/p>\n
    ['Bob', 30, 'Los Angeles\\nCalifornia'],<\/p>\n
    ['Charlie', 35, 'Chicago']<\/p>\n
]<\/p>\n
\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\uff0c\u5904\u7406\u7279\u6b8a\u5b57\u7b26<\/strong><\/h2>\n
with open('data_special_chars.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file, quoting=csv.QUOTE_MINIMAL)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528numpy\u5e93\u8be6\u7ec6\u4ecb\u7ecd<\/h3>\n<\/p>\n
\u5c3d\u7ba1numpy\u5e93\u4e3b\u8981\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5b83\u53ef\u4ee5\u7528\u4e8e\u4fdd\u5b58\u7b80\u5355\u7684\u4e8c\u7ef4\u6570\u7ec4\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4fdd\u5b58\u5e26\u6709\u6807\u9898\u7684\u6570\u7ec4<\/h4>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u5e0c\u671b\u4fdd\u5b58\u5e26\u6709\u6807\u9898\u7684\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528header<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u6807\u9898\u884c\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u7ec4<\/strong><\/h2>\n
data = np.array([<\/p>\n
    [25, 'New York'],<\/p>\n
    [30, 'Los Angeles'],<\/p>\n
    [35, 'Chicago']<\/p>\n
])<\/p>\n
\u4fdd\u5b58\u6570\u7ec4\u4e3aCSV\u6587\u4ef6\uff0c\u5e26\u6709\u6807\u9898\u884c<\/strong><\/h2>\n
np.savetxt('data_with_header.csv', data, delimiter=',', fmt='%s', header='Age,City', comments='')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4fdd\u5b58\u591a\u7ef4\u6570\u7ec4<\/h4>\n<\/p>\n
\u867d\u7136CSV\u6587\u4ef6\u901a\u5e38\u7528\u4e8e\u4fdd\u5b58\u4e8c\u7ef4\u6570\u636e\uff0c\u4f46numpy\u5e93\u53ef\u4ee5\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u5e76\u5c06\u5176\u5c55\u5e73\u4e3a\u4e8c\u7ef4\u6570\u636e\u4fdd\u5b58\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u591a\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
data = np.array([<\/p>\n
    [[1, 2, 3], [4, 5, 6]],<\/p>\n
    [[7, 8, 9], [10, 11, 12]]<\/p>\n
])<\/p>\n
\u5c55\u5e73\u5e76\u4fdd\u5b58\u591a\u7ef4\u6570\u7ec4\u4e3aCSV\u6587\u4ef6<\/strong><\/h2>\n
flattened_data = data.reshape(-1, data.shape[-1])<\/p>\n
np.savetxt('data_multidim.csv', flattened_data, delimiter=',', fmt='%d')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5e38\u7528\u7684\u6709\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001numpy\u5e93\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u7f3a\u70b9\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u7c7b\u578b\u3002pandas\u5e93\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0ccsv\u5e93\u63d0\u4f9b\u4e86\u5e95\u5c42\u7684\u7075\u6d3b\u6027\uff0cnumpy\u5e93\u9002\u5408\u5904\u7406\u6570\u503c\u8ba1\u7b97\u4efb\u52a1<\/strong>\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u80fd\u591f\u66f4\u597d\u5730\u5904\u7406\u6570\u636e\u8868\u5e76\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u8f7b\u677e\u5730\u5c06\u6570\u636e\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5pandas\u5e93\u3002\u7136\u540e\uff0c\u4f7f\u7528DataFrame<\/code>\u5bf9\u8c61\u7684to_csv()<\/code>\u65b9\u6cd5\uff0c\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
import pandas as pd\n\n# \u521b\u5efa\u793a\u4f8b\u6570\u636e\u8868\ndata = {'\u59d3\u540d': ['Alice', 'Bob', 'Charlie'], '\u5e74\u9f84': [25, 30, 35]}\ndf = pd.DataFrame(data)\n\n# \u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\ndf.to_csv('\u6570\u636e\u8868.csv', index=False, encoding='utf-8-sig')\n<\/code><\/pre>\n
\u8fd9\u4e2a\u4ee3\u7801\u5c06\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a\u201c\u6570\u636e\u8868.csv\u201d\u7684\u6587\u4ef6\uff0c\u5305\u542b\u59d3\u540d\u548c\u5e74\u9f84\u4e24\u5217\u3002<\/p>\n
\u5728\u4fdd\u5b58CSV\u65f6\u5982\u4f55\u5904\u7406\u7f16\u7801\u95ee\u9898\uff1f<\/strong>
\u4fdd\u5b58CSV\u6587\u4ef6\u65f6\uff0c\u5e38\u89c1\u7684\u7f16\u7801\u95ee\u9898\u53ef\u80fd\u5bfc\u81f4\u4e2d\u6587\u5b57\u7b26\u663e\u793a\u4e0d\u6b63\u5e38\u3002\u4f7f\u7528encoding='utf-8-sig'<\/code>\u53ef\u4ee5\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u786e\u4fdd\u5728\u6253\u5f00CSV\u6587\u4ef6\u65f6\uff0cExcel\u7b49\u8f6f\u4ef6\u80fd\u6b63\u786e\u663e\u793a\u4e2d\u6587\u5b57\u7b26\u3002\u6b64\u5916\uff0cencoding='gbk'<\/code>\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u67d0\u4e9b\u7279\u5b9a\u7684\u4e2d\u6587\u73af\u5883\u3002<\/p>\n
\u53ef\u4ee5\u5728Python\u4e2d\u6307\u5b9a\u54ea\u4e9b\u9009\u9879\u6765\u5b9a\u5236CSV\u8f93\u51fa\uff1f<\/strong>
Python\u7684to_csv()<\/code>\u65b9\u6cd5\u63d0\u4f9b\u4e86\u591a\u79cd\u53c2\u6570\u6765\u5b9a\u5236\u8f93\u51fa\uff0c\u5982sep<\/code>\uff08\u5206\u9694\u7b26\uff09\uff0cheader<\/code>\uff08\u662f\u5426\u5305\u542b\u5217\u540d\uff09\uff0cindex<\/code>\uff08\u662f\u5426\u5199\u5165\u884c\u7d22\u5f15\uff09\u7b49\u3002\u4f8b\u5982\uff0c\u5982\u679c\u5e0c\u671b\u4f7f\u7528\u5236\u8868\u7b26\u4f5c\u4e3a\u5206\u9694\u7b26\uff0c\u53ef\u4ee5\u8bbe\u7f6esep='\\t'<\/code>\u3002\u5982\u679c\u4e0d\u60f3\u5728\u6587\u4ef6\u4e2d\u5305\u542b\u884c\u7d22\u5f15\uff0c\u53ef\u4ee5\u8bbe\u7f6eindex=False<\/code>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n
df.to_csv('\u6570\u636e\u8868.tsv', sep='\\t', header=True, index=False)\n<\/code><\/pre>\n
\u8fd9\u5c06\u751f\u6210\u4e00\u4e2a\u4ee5\u5236\u8868\u7b26\u5206\u9694\u7684\u6587\u4ef6\u3002<\/p>\n
\u5982\u4f55\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5230Python\u7684DataFrame\uff1f<\/strong>
\u4f7f\u7528pandas\u5e93\u7684read_csv()<\/code>\u51fd\u6570\u53ef\u4ee5\u65b9\u4fbf\u5730\u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5230DataFrame\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n
df = pd.read_csv('\u6570\u636e\u8868.csv')\nprint(df)\n<\/code><\/pre>\n
\u8fd9\u4e2a\u64cd\u4f5c\u5c06\u8bfb\u53d6\u201c\u6570\u636e\u8868.csv\u201d\u4e2d\u7684\u5185\u5bb9\uff0c\u5e76\u5c06\u5176\u52a0\u8f7d\u5230DataFrame\u5bf9\u8c61\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6570\u636e\u8868\u4e3aCSV\u6587\u4ef6\u7684\u51e0\u79cd\u5e38\u7528\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528pandas\u5e93\u3001\u4f7f\u7528csv\u5e93\u3001\u4f7f\u7528numpy\u5e93\u3002 […]","protected":false},"author":3,"featured_media":1066398,"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\/1066389"}],"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=1066389"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1066389\/revisions"}],"predecessor-version":[{"id":1066400,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1066389\/revisions\/1066400"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1066398"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1066389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1066389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1066389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}