![\"python\u5982\u4f55\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\"](\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/4f0eb8e0-273e-420c-9ec3-430e3d0accc3.webp?x-oss-process=image\/auto-orient,1\/format,webp\")
<\/p>\n<\/p>\n
Python\u5982\u4f55\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934<\/strong><\/p>\n<\/p>\n \u5728Python\u4e2d\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u7684 Pandas\u5e93\u662fPython\u4e2d\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u3002\u901a\u8fc7\u4f7f\u7528Pandas\u5e93\u7684 \u4e0b\u9762\u662f\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n data = pd.read_csv('data.csv', header=None)<\/p>\n data.columns = ['Column1', 'Column2', 'Column3', 'Column4']<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86Pandas\u5e93\uff0c\u7136\u540e\u8bfb\u53d6\u4e86\u4e00\u4e2a\u6ca1\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528 Pandas\u5e93\u7684 \u5982\u679cCSV\u6587\u4ef6\u4e2d\u5305\u542b\u8868\u5934\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 data = pd.read_csv('data_with_header.csv')<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5982\u679cCSV\u6587\u4ef6\u4e2d\u6ca1\u6709\u8868\u5934\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e data = pd.read_csv('data_no_header.csv', header=None)<\/p>\n data.columns = ['Column1', 'Column2', 'Column3', 'Column4']<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 data = pd.read_csv('data_no_header.csv', header=None, names=['Column1', 'Column2', 'Column3', 'Column4'])<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n Pandas\u5e93\u7684 \u5982\u679cExcel\u6587\u4ef6\u4e2d\u5305\u542b\u8868\u5934\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 data = pd.read_excel('data_with_header.xlsx')<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5982\u679cExcel\u6587\u4ef6\u4e2d\u6ca1\u6709\u8868\u5934\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e data = pd.read_excel('data_no_header.xlsx', header=None)<\/p>\n data.columns = ['Column1', 'Column2', 'Column3', 'Column4']<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528 data = pd.read_excel('data_no_header.xlsx', header=None, names=['Column1', 'Column2', 'Column3', 'Column4'])<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u9664\u4e86\u4f7f\u7528Pandas\u5e93\u7684 \u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570\u8bfb\u53d6\u6570\u636e\uff0c\u7136\u540e\u624b\u52a8\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n data = [<\/p>\n [1, 'Alice', 25, 'Engineer'],<\/p>\n [2, 'Bob', 30, 'Doctor'],<\/p>\n [3, 'Charlie', 28, 'Teacher']<\/p>\n ]<\/p>\n header = ['ID', 'Name', 'Age', 'Profession']<\/p>\n data_with_header = [header] + data<\/p>\n for row in data_with_header:<\/p>\n print(row)<\/p>\n <\/code><\/pre>\n<\/p>\n \u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u7684\u65b9\u5f0f\uff0c\u65b9\u4fbf\u5feb\u6377\u5730\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n data = [<\/p>\n [1, 'Alice', 25, 'Engineer'],<\/p>\n [2, 'Bob', 30, 'Doctor'],<\/p>\n [3, 'Charlie', 28, 'Teacher']<\/p>\n ]<\/p>\n header = ['ID', 'Name', 'Age', 'Profession']<\/p>\n data_with_header = [header] + data<\/p>\n for row in data_with_header:<\/p>\n print(row)<\/p>\n <\/code><\/pre>\n<\/p>\n Numpy\u662fPython\u4e2d\u7684\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002\u901a\u8fc7Numpy\u6570\u7ec4\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n \u53ef\u4ee5\u4f7f\u7528Numpy\u7684 data = np.array([<\/p>\n [1, 'Alice', 25, 'Engineer'],<\/p>\n [2, 'Bob', 30, 'Doctor'],<\/p>\n [3, 'Charlie', 28, 'Teacher']<\/p>\n ])<\/p>\n header = np.array(['ID', 'Name', 'Age', 'Profession'])<\/p>\n data_with_header = np.vstack((header, data))<\/p>\n for row in data_with_header:<\/p>\n print(row)<\/p>\n <\/code><\/pre>\n<\/p>\n \u53ef\u4ee5\u4f7f\u7528Numpy\u7684\u7ed3\u6784\u5316\u6570\u7ec4\uff0c\u65b9\u4fbf\u5730\u6dfb\u52a0\u548c\u7ba1\u7406\u8868\u5934\u3002<\/p>\n<\/p>\n data = np.array([<\/p>\n (1, 'Alice', 25, 'Engineer'),<\/p>\n (2, 'Bob', 30, 'Doctor'),<\/p>\n (3, 'Charlie', 28, 'Teacher')<\/p>\n ], dtype=[('ID', 'i4'), ('Name', 'U10'), ('Age', 'i4'), ('Profession', 'U10')])<\/p>\n print(data)<\/p>\n <\/code><\/pre>\n<\/p>\n \u4ee5\u4e0a\u5c31\u662f\u4f7f\u7528Python\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u7684\u8be6\u7ec6\u4ecb\u7ecd\u3002\u901a\u8fc7\u4f7f\u7528Pandas\u5e93\u7684 \u5982\u4f55\u5728Python\u4e2d\u4e3a\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\uff1f<\/strong> \u8fd9\u6837\u5c31\u53ef\u4ee5\u4e3a\u6570\u636e\u6dfb\u52a0\u6240\u9700\u7684\u8868\u5934\u4e86\u3002<\/p>\n \u5982\u679c\u6211\u7684\u6570\u636e\u6587\u4ef6\u5df2\u7ecf\u6709\u8868\u5934\uff0c\u5982\u4f55\u66ff\u6362\u5b83\uff1f<\/strong> \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5feb\u901f\u66ff\u6362\u73b0\u6709\u7684\u8868\u5934\uff0c\u4ee5\u7b26\u5408\u4f60\u7684\u9700\u6c42\u3002<\/p>\n \u5728\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u65f6\uff0c\u5982\u4f55\u9ad8\u6548\u5730\u6dfb\u52a0\u8868\u5934\uff1f<\/strong> \u8fd9\u6837\u80fd\u63d0\u9ad8\u5904\u7406\u6548\u7387\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u91cf\u8f83\u5927\u7684\u60c5\u51b5\u4e0b\u3002\u786e\u4fdd\u5728\u8bfb\u53d6\u65f6\u8bbe\u7f6eread_csv<\/code>\u548cread_excel<\/code>\u51fd\u6570\u3001\u624b\u52a8\u6dfb\u52a0\u8868\u5934\u3001\u4f7f\u7528Numpy\u6570\u7ec4\u3002\u4f7f\u7528Pandas\u5e93\u7684read_csv<\/code>\u51fd\u6570\u3001\u4f7f\u7528Pandas\u5e93\u7684read_excel<\/code>\u51fd\u6570\u3001\u624b\u52a8\u6dfb\u52a0\u8868\u5934\u3001\u4f7f\u7528Numpy\u6570\u7ec4<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u7684read_csv<\/code>\u51fd\u6570\u6765\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\nread_csv<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u7ed9\u5bfc\u5165\u7684CSV\u6587\u4ef6\u6dfb\u52a0\u8868\u5934\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n\n
import pandas as pd<\/code>\u6765\u5b9e\u73b0\u3002<\/li>\npd.read_csv<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u5982\u679cCSV\u6587\u4ef6\u4e2d\u6ca1\u6709\u8868\u5934\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eheader=None<\/code>\u53c2\u6570\u6765\u8bfb\u53d6\u6570\u636e\u3002<\/li>\ncolumns<\/code>\u5c5e\u6027\u6765\u6dfb\u52a0\u8868\u5934\u3002<\/li>\n<\/ol>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684CSV\u6587\u4ef6<\/strong><\/h2>\n
\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
columns<\/code>\u5c5e\u6027\u6765\u6dfb\u52a0\u8868\u5934\uff0c\u6700\u540e\u6253\u5370\u51fa\u6dfb\u52a0\u8868\u5934\u540e\u7684\u6570\u636e\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4ed6\u4e09\u79cd\u65b9\u6cd5\u4ee5\u53ca\u5b83\u4eec\u7684\u5177\u4f53\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n<\/p>\n\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u7684
read_csv<\/code>\u51fd\u6570<\/h3>\n<\/p>\nread_csv<\/code>\u51fd\u6570\u662f\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5e38\u7528\u65b9\u6cd5\u4e4b\u4e00\uff0c\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u5b9e\u73b0\u591a\u79cd\u529f\u80fd\uff0c\u5305\u62ec\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n1. \u9ed8\u8ba4\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
read_csv<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\uff0cPandas\u4f1a\u81ea\u52a8\u8bc6\u522b\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u5305\u542b\u8868\u5934\u7684CSV\u6587\u4ef6<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
2. \u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\u5e76\u624b\u52a8\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
header=None<\/code>\u53c2\u6570\u8bfb\u53d6\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528columns<\/code>\u5c5e\u6027\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684CSV\u6587\u4ef6<\/strong><\/h2>\n
\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
3. \u4f7f\u7528
names<\/code>\u53c2\u6570\u76f4\u63a5\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\nnames<\/code>\u53c2\u6570\u6307\u5b9a\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\uff0c\u5e76\u76f4\u63a5\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u5e93\u7684
read_excel<\/code>\u51fd\u6570<\/h3>\n<\/p>\nread_excel<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u5b9e\u73b0\u591a\u79cd\u529f\u80fd\uff0c\u5305\u62ec\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\n1. \u9ed8\u8ba4\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
read_excel<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\uff0cPandas\u4f1a\u81ea\u52a8\u8bc6\u522b\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u5305\u542b\u8868\u5934\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
2. \u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684Excel\u6587\u4ef6\u5e76\u624b\u52a8\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
header=None<\/code>\u53c2\u6570\u8bfb\u53d6\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528columns<\/code>\u5c5e\u6027\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
3. \u4f7f\u7528
names<\/code>\u53c2\u6570\u76f4\u63a5\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\nnames<\/code>\u53c2\u6570\u6307\u5b9a\u8868\u5934\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6\u6ca1\u6709\u8868\u5934\u7684Excel\u6587\u4ef6\uff0c\u5e76\u76f4\u63a5\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
\u4e09\u3001\u624b\u52a8\u6dfb\u52a0\u8868\u5934<\/h3>\n<\/p>\n
read_csv<\/code>\u548cread_excel<\/code>\u51fd\u6570\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u624b\u52a8\u65b9\u5f0f\u6dfb\u52a0\u8868\u5934\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n1. \u8bfb\u53d6\u6570\u636e\u5e76\u624b\u52a8\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
# \u8bfb\u53d6\u6570\u636e<\/p>\n\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u5408\u5e76\u8868\u5934\u548c\u6570\u636e<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
2. \u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
# \u8bfb\u53d6\u6570\u636e<\/p>\n\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u5408\u5e76\u8868\u5934\u548c\u6570\u636e<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
\u56db\u3001\u4f7f\u7528Numpy\u6570\u7ec4<\/h3>\n<\/p>\n
1. \u521b\u5efaNumpy\u6570\u7ec4\u5e76\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
array<\/code>\u51fd\u6570\u521b\u5efa\u6570\u636e\u6570\u7ec4\uff0c\u7136\u540e\u624b\u52a8\u6dfb\u52a0\u8868\u5934\u3002<\/p>\n<\/p>\nimport numpy as np<\/p>\n\u521b\u5efa\u6570\u636e\u6570\u7ec4<\/strong><\/h2>\n
\u6dfb\u52a0\u8868\u5934<\/strong><\/h2>\n
\u5408\u5e76\u8868\u5934\u548c\u6570\u636e<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
2. \u4f7f\u7528\u7ed3\u6784\u5316\u6570\u7ec4\u6dfb\u52a0\u8868\u5934<\/h4>\n<\/p>\n
import numpy as np<\/p>\n\u521b\u5efa\u7ed3\u6784\u5316\u6570\u7ec4<\/strong><\/h2>\n
\u6253\u5370\u6570\u636e<\/strong><\/h2>\n
read_csv<\/code>\u548cread_excel<\/code>\u51fd\u6570\u3001\u624b\u52a8\u6dfb\u52a0\u8868\u5934\u3001\u4f7f\u7528Numpy\u6570\u7ec4\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5feb\u6377\u5730\u5b9e\u73b0\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u7684\u529f\u80fd\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u60a8\u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4e2d\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8f7b\u677e\u4e3a\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u3002\u9996\u5148\uff0c\u901a\u8fc7pd.read_csv()<\/code>\u6216\u5176\u4ed6\u8bfb\u53d6\u51fd\u6570\u5bfc\u5165\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528header<\/code>\u53c2\u6570\u6307\u5b9a\u8868\u5934\uff0c\u6216\u8005\u5728\u8bfb\u53d6\u540e\u5229\u7528DataFrame<\/code>\u7684columns<\/code>\u5c5e\u6027\u6765\u8bbe\u7f6e\u65b0\u7684\u8868\u5934\u3002\u4f8b\u5982\uff1a<\/p>\nimport pandas as pd\n\n# \u5bfc\u5165\u6570\u636e\ndata = pd.read_csv('data.csv', header=None) # header=None\u8868\u793a\u4e0d\u4f7f\u7528\u6587\u4ef6\u4e2d\u7684\u8868\u5934\ndata.columns = ['Column1', 'Column2', 'Column3'] # \u8bbe\u7f6e\u65b0\u7684\u8868\u5934\n<\/code><\/pre>\n
\u5982\u679c\u6570\u636e\u6587\u4ef6\u4e2d\u5df2\u7ecf\u5b58\u5728\u8868\u5934\uff0c\u4f46\u4f60\u60f3\u8981\u66f4\u6539\u5b83\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u6570\u636e\u540e\u76f4\u63a5\u4fee\u6539columns<\/code>\u5c5e\u6027\u3002\u4f8b\u5982\uff1a<\/p>\ndata = pd.read_csv('data_with_header.csv')\ndata.columns = ['NewColumn1', 'NewColumn2', 'NewColumn3'] # \u66ff\u6362\u4e3a\u65b0\u7684\u8868\u5934\n<\/code><\/pre>\n
\u5bf9\u4e8e\u5927\u578b\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u6570\u636e\u65f6\u76f4\u63a5\u6307\u5b9a\u8868\u5934\uff0c\u907f\u514d\u540e\u7eed\u7684\u4fee\u6539\u3002\u4f8b\u5982\uff1a<\/p>\nnew_headers = ['Col1', 'Col2', 'Col3']\ndata = pd.read_csv('large_data.csv', names=new_headers, header=None) # \u76f4\u63a5\u6dfb\u52a0\u8868\u5934\n<\/code><\/pre>\nheader=None<\/code>\u4ee5\u907f\u514d\u4f7f\u7528\u6587\u4ef6\u4e2d\u7684\u8868\u5934\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934 \u5728Python\u4e2d\u7ed9\u5bfc\u5165\u7684\u6570\u636e\u6dfb\u52a0\u8868\u5934\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec […]","protected":false},"author":3,"featured_media":1038589,"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\/1038580"}],"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=1038580"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1038580\/revisions"}],"predecessor-version":[{"id":1038592,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1038580\/revisions\/1038592"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1038589"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1038580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1038580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1038580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}