{"id":1022995,"date":"2024-12-30T14:01:28","date_gmt":"2024-12-30T06:01:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1022995.html"},"modified":"2024-12-30T14:01:30","modified_gmt":"2024-12-30T06:01:30","slug":"python%e5%a6%82%e4%bd%95%e4%bf%ae%e6%94%b9%e5%88%97%e7%b4%a2%e5%bc%95-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1022995.html","title":{"rendered":"python\u5982\u4f55\u4fee\u6539\u5217\u7d22\u5f15"},"content":{"rendered":"

\"python\u5982\u4f55\u4fee\u6539\u5217\u7d22\u5f15\"<\/p>\n

\u5728Python\u4e2d\u4fee\u6539\u5217\u7d22\u5f15\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5305\u62ecrename<\/code>\u65b9\u6cd5\u3001\u8d4b\u503c\u65b9\u5f0f\u548c\u901a\u8fc7set_axis<\/code>\u65b9\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u70b9\uff0c\u5177\u4f53\u9009\u62e9\u53d6\u51b3\u4e8e\u60a8\u7684\u9700\u6c42\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528rename<\/code>\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u7075\u6d3b\u6027\u548c\u7b80\u6d01\u6027\u3002<\/strong><\/p>\n<\/p>\n

\u4ee5\u4e0b\u662f\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u4fee\u6539\u5217\u7d22\u5f15\uff1a<\/p>\n<\/p>\n

\u4f7f\u7528rename<\/code>\u65b9\u6cd5<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528rename<\/code>\u65b9\u6cd5\u662f\u4fee\u6539\u5217\u7d22\u5f15\u7684\u4e00\u4e2a\u5e38\u7528\u4e14\u63a8\u8350\u7684\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u6211\u4eec\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u5b57\u5178\u6765\u91cd\u547d\u540d\u5217\u7d22\u5f15\uff0c\u5e76\u4e14\u53ef\u4ee5\u9009\u62e9\u662f\u5426\u4fee\u6539\u539f\u6570\u636e\u6846\u6216\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/strong><\/h2>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528rename\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.rename(columns={'A': 'Column1', 'B': 'Column2', 'C': 'Column3'}, inplace=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u5217\u7d22\u5f15\u4ece 'A', 'B', 'C' \u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u8d4b\u503c\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/p>\n<\/p>\n
\u76f4\u63a5\u901a\u8fc7\u8d4b\u503c\u7684\u65b9\u5f0f\u4fee\u6539\u5217\u7d22\u5f15\u4e5f\u662f\u4e00\u79cd\u7b80\u5355\u4e14\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u91cd\u547d\u540d\u6240\u6709\u5217\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u901a\u8fc7\u8d4b\u503c\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u7684\u65b9\u5f0f\u5c06\u5217\u7d22\u5f15\u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002<\/p>\n<\/p>\n
\u4f7f\u7528set_axis<\/code>\u65b9\u6cd5<\/strong><\/p>\n<\/p>\n
set_axis<\/code>\u65b9\u6cd5\u662f\u53e6\u4e00\u4e2a\u4fee\u6539\u5217\u7d22\u5f15\u7684\u6709\u6548\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u6211\u4eec\u540c\u65f6\u8bbe\u7f6e\u884c\u7d22\u5f15\u548c\u5217\u7d22\u5f15\uff0c\u5e76\u4e14\u53ef\u4ee5\u9009\u62e9\u662f\u5426\u4fee\u6539\u539f\u6570\u636e\u6846\u6216\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528set_axis\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.set_axis(['Column1', 'Column2', 'Column3'], axis=1, inplace=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528set_axis<\/code>\u65b9\u6cd5\u5c06\u5217\u7d22\u5f15\u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528rename<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
rename<\/code>\u65b9\u6cd5\u662f\u4fee\u6539\u5217\u7d22\u5f15\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u7075\u6d3b\u6027\u548c\u7b80\u6d01\u6027\u3002\u4f7f\u7528rename<\/code>\u65b9\u6cd5\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f20\u9012\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u952e\u662f\u5f53\u524d\u7684\u5217\u540d\uff0c\u503c\u662f\u65b0\u7684\u5217\u540d\u3002\u6b64\u5916\uff0crename<\/code>\u65b9\u6cd5\u8fd8\u5141\u8bb8\u6211\u4eec\u9009\u62e9\u662f\u5426\u5c31\u5730\u4fee\u6539\u6570\u636e\u6846\uff08\u901a\u8fc7\u8bbe\u7f6einplace<\/code>\u53c2\u6570\uff09\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/strong><\/h2>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528rename\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.rename(columns={'A': 'Column1', 'B': 'Column2', 'C': 'Column3'}, inplace=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u5217\u7d22\u5f15\u4ece 'A', 'B', 'C' \u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002\u901a\u8fc7\u8bbe\u7f6einplace=True<\/code>\uff0c\u6211\u4eec\u76f4\u63a5\u4fee\u6539\u4e86\u539f\u6570\u636e\u6846\u3002\u5982\u679c\u4e0d\u8bbe\u7f6einplace<\/code>\u53c2\u6570\uff0crename<\/code>\u65b9\u6cd5\u5c06\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\uff0c\u800c\u4e0d\u4f1a\u4fee\u6539\u539f\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u901a\u8fc7\u8d4b\u503c\u4fee\u6539\u5217\u7d22\u5f15<\/h3>\n<\/p>\n
\u5982\u679c\u9700\u8981\u4e00\u6b21\u6027\u91cd\u547d\u540d\u6240\u6709\u5217\uff0c\u76f4\u63a5\u901a\u8fc7\u8d4b\u503c\u7684\u65b9\u5f0f\u662f\u4e00\u79cd\u7b80\u5355\u4e14\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u5217\u6570\u8f83\u5c11\u4e14\u9700\u8981\u91cd\u547d\u540d\u6240\u6709\u5217\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u901a\u8fc7\u8d4b\u503c\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.columns = ['Column1', 'Column2', 'Column3']<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u7684\u65b9\u5f0f\u5c06\u5217\u7d22\u5f15\u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u660e\u4e86\uff0c\u4f46\u9700\u8981\u786e\u4fdd\u65b0\u5217\u540d\u7684\u6570\u91cf\u4e0e\u539f\u5217\u540d\u7684\u6570\u91cf\u76f8\u540c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528set_axis<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
set_axis<\/code>\u65b9\u6cd5\u662f\u4fee\u6539\u5217\u7d22\u5f15\u7684\u53e6\u4e00\u4e2a\u6709\u6548\u65b9\u6cd5\u3002\u5b83\u5141\u8bb8\u6211\u4eec\u540c\u65f6\u8bbe\u7f6e\u884c\u7d22\u5f15\u548c\u5217\u7d22\u5f15\uff0c\u5e76\u4e14\u53ef\u4ee5\u9009\u62e9\u662f\u5426\u4fee\u6539\u539f\u6570\u636e\u6846\u6216\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u6846\u3002set_axis<\/code>\u65b9\u6cd5\u7684\u7075\u6d3b\u6027\u4f7f\u5176\u6210\u4e3a\u4fee\u6539\u5217\u7d22\u5f15\u7684\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528set_axis\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.set_axis(['Column1', 'Column2', 'Column3'], axis=1, inplace=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528set_axis<\/code>\u65b9\u6cd5\u5c06\u5217\u7d22\u5f15\u4fee\u6539\u4e3a 'Column1', 'Column2', 'Column3'\u3002\u901a\u8fc7\u8bbe\u7f6eaxis=1<\/code>\uff0c\u6211\u4eec\u6307\u5b9a\u8981\u4fee\u6539\u7684\u662f\u5217\u7d22\u5f15\uff0c\u800c\u4e0d\u662f\u884c\u7d22\u5f15\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u8bbe\u7f6einplace=True<\/code>\uff0c\u6211\u4eec\u76f4\u63a5\u4fee\u6539\u4e86\u539f\u6570\u636e\u6846\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528iloc<\/code>\u548ccolumns<\/code>\u5c5e\u6027<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u57fa\u4e8e\u5217\u7684\u7d22\u5f15\u4f4d\u7f6e\u6765\u4fee\u6539\u5217\u540d\u3002\u53ef\u4ee5\u4f7f\u7528iloc<\/code>\u548ccolumns<\/code>\u5c5e\u6027\u7ed3\u5408\u4f7f\u7528\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u4f4d\u7f6e\u800c\u4e0d\u662f\u540d\u79f0\u6765\u91cd\u547d\u540d\u5217\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u57fa\u4e8e\u5217\u7d22\u5f15\u4f4d\u7f6e\u4fee\u6539\u5217\u540d<\/strong><\/h2>\n
df.columns.values[0] = 'Column1'<\/p>\n
df.columns.values[1] = 'Column2'<\/p>\n
df.columns.values[2] = 'Column3'<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u57fa\u4e8e\u5217\u7684\u7d22\u5f15\u4f4d\u7f6e\u6765\u91cd\u547d\u540d\u5217\u3002\u901a\u8fc7\u8bbf\u95eecolumns.values<\/code>\u5c5e\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u4fee\u6539\u5217\u540d\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528DataFrame<\/code>\u6784\u9020\u51fd\u6570<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u901a\u8fc7\u91cd\u65b0\u6784\u9020\u6570\u636e\u6846\u6765\u4fee\u6539\u5217\u7d22\u5f15\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u5728\u521b\u5efa\u6570\u636e\u6846\u65f6\u5c31\u8bbe\u7f6e\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846\u5e76\u8bbe\u7f6e\u5217\u540d<\/p>\n
df = pd.DataFrame({<\/p>\n
    'Column1': [1, 2, 3],<\/p>\n
    'Column2': [4, 5, 6],<\/p>\n
    'Column3': [7, 8, 9]<\/p>\n
})<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5728\u521b\u5efa\u6570\u636e\u6846\u65f6\u5c31\u8bbe\u7f6e\u4e86\u5217\u540d\u3002\u901a\u8fc7\u76f4\u63a5\u5728DataFrame<\/code>\u6784\u9020\u51fd\u6570\u4e2d\u6307\u5b9a\u5217\u540d\uff0c\u53ef\u4ee5\u907f\u514d\u540e\u7eed\u4fee\u6539\u5217\u7d22\u5f15\u7684\u6b65\u9aa4\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528add_prefix<\/code>\u548cadd_suffix<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
\u5982\u679c\u9700\u8981\u4e3a\u5217\u540d\u6dfb\u52a0\u524d\u7f00\u6216\u540e\u7f00\uff0c\u53ef\u4ee5\u4f7f\u7528add_prefix<\/code>\u548cadd_suffix<\/code>\u65b9\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u7edf\u4e00\u4e3a\u6240\u6709\u5217\u540d\u6dfb\u52a0\u7279\u5b9a\u524d\u7f00\u6216\u540e\u7f00\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528add_prefix\u65b9\u6cd5\u6dfb\u52a0\u524d\u7f00<\/strong><\/h2>\n
df = df.add_prefix('Prefix_')<\/p>\n
print(df)<\/p>\n
\u4f7f\u7528add_suffix\u65b9\u6cd5\u6dfb\u52a0\u540e\u7f00<\/strong><\/h2>\n
df = df.add_suffix('_Suffix')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528add_prefix<\/code>\u65b9\u6cd5\u4e3a\u6240\u6709\u5217\u540d\u6dfb\u52a0\u524d\u7f00 'Prefix_'\uff0c\u5e76\u4f7f\u7528add_suffix<\/code>\u65b9\u6cd5\u4e3a\u6240\u6709\u5217\u540d\u6dfb\u52a0\u540e\u7f00 '_Suffix'\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u4fee\u6539\u5217\u7d22\u5f15<\/h3>\n<\/p>\n
\u5217\u8868\u63a8\u5bfc\u5f0f\u662f\u4e00\u79cd\u7075\u6d3b\u4e14\u7b80\u6d01\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7528\u4e8e\u4fee\u6539\u5217\u7d22\u5f15\u3002\u5b83\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u67d0\u79cd\u89c4\u5219\u751f\u6210\u65b0\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.columns = [f'Column_{i}' for i in range(len(df.columns))]<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u751f\u6210\u4e86\u65b0\u7684\u5217\u540d 'Column_0', 'Column_1', 'Column_2'\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u5217\u7d22\u5f15\u4f4d\u7f6e\u751f\u6210\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u516b\u3001\u4f7f\u7528str.replace<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
str.replace<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u57fa\u4e8e\u67d0\u79cd\u6a21\u5f0f\u66ff\u6362\u5217\u540d\u4e2d\u7684\u7279\u5b9a\u90e8\u5206\u3002\u5b83\u9002\u7528\u4e8e\u9700\u8981\u6279\u91cf\u66ff\u6362\u5217\u540d\u4e2d\u7684\u67d0\u4e9b\u5b57\u7b26\u6216\u5b50\u5b57\u7b26\u4e32\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528str.replace\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.columns = df.columns.str.replace('A', 'Column1').str.replace('B', 'Column2').str.replace('C', 'Column3')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528str.replace<\/code>\u65b9\u6cd5\u5c06\u5217\u540d\u4e2d\u7684 'A', 'B', 'C' \u5206\u522b\u66ff\u6362\u4e3a 'Column1', 'Column2', 'Column3'\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u67d0\u79cd\u6a21\u5f0f\u6279\u91cf\u66ff\u6362\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u4f7f\u7528str.upper<\/code>\u548cstr.lower<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u6240\u6709\u5217\u540d\u8f6c\u6362\u4e3a\u5927\u5199\u6216\u5c0f\u5199\uff0c\u53ef\u4ee5\u4f7f\u7528str.upper<\/code>\u548cstr.lower<\/code>\u65b9\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u7edf\u4e00\u5217\u540d\u683c\u5f0f\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'a': [1, 2, 3],<\/p>\n
    'b': [4, 5, 6],<\/p>\n
    'c': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528str.upper\u65b9\u6cd5\u5c06\u5217\u540d\u8f6c\u6362\u4e3a\u5927\u5199<\/strong><\/h2>\n
df.columns = df.columns.str.upper()<\/p>\n
print(df)<\/p>\n
\u4f7f\u7528str.lower\u65b9\u6cd5\u5c06\u5217\u540d\u8f6c\u6362\u4e3a\u5c0f\u5199<\/strong><\/h2>\n
df.columns = df.columns.str.lower()<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5206\u522b\u4f7f\u7528str.upper<\/code>\u65b9\u6cd5\u5c06\u5217\u540d\u8f6c\u6362\u4e3a\u5927\u5199\uff0c\u5e76\u4f7f\u7528str.lower<\/code>\u65b9\u6cd5\u5c06\u5217\u540d\u8f6c\u6362\u4e3a\u5c0f\u5199\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u7edf\u4e00\u5217\u540d\u5927\u5c0f\u5199\u683c\u5f0f\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u5341\u3001\u4f7f\u7528map<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
map<\/code>\u65b9\u6cd5\u5141\u8bb8\u6211\u4eec\u5e94\u7528\u4e00\u4e2a\u51fd\u6570\u6765\u4fee\u6539\u5217\u540d\u3002\u5b83\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u67d0\u79cd\u89c4\u5219\u6279\u91cf\u4fee\u6539\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/p>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6],<\/p>\n
    'C': [7, 8, 9]<\/p>\n
})<\/p>\n
\u4f7f\u7528map\u65b9\u6cd5\u4fee\u6539\u5217\u7d22\u5f15<\/strong><\/h2>\n
df.columns = df.columns.map(lambda x: 'Column_' + x)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528map<\/code>\u65b9\u6cd5\u5c06\u5217\u540d\u4fee\u6539\u4e3a 'Column_A', 'Column_B', 'Column_C'\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u57fa\u4e8e\u67d0\u79cd\u89c4\u5219\u6279\u91cf\u4fee\u6539\u5217\u540d\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u4fee\u6539Python\u6570\u636e\u6846\u7684\u5217\u7d22\u5f15\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u66f4\u6539DataFrame\u7684\u5217\u7d22\u5f15\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u5904\u7406\u6570\u636e\uff0c\u5c24\u5176\u662fDataFrame\u3002\u5728DataFrame\u4e2d\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u7684\u65b9\u5f0f\u6765\u66f4\u6539\u5217\u7d22\u5f15\uff0c\u4f8b\u5982\u4f7f\u7528df.columns<\/code>\u5c5e\u6027\u3002\u60a8\u53ef\u4ee5\u5c06\u65b0\u7684\u5217\u540d\u5217\u8868\u8d4b\u503c\u7ed9\u8fd9\u4e2a\u5c5e\u6027\uff0c\u4ece\u800c\u5b9e\u73b0\u4fee\u6539\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import pandas as pd\n\n# \u521b\u5efa\u793a\u4f8bDataFrame\ndata = {'A': [1, 2], 'B': [3, 4]}\ndf = pd.DataFrame(data)\n\n# \u4fee\u6539\u5217\u7d22\u5f15\ndf.columns = ['Column1', 'Column2']\nprint(df)\n<\/code><\/pre>\n
\u5728Pandas\u4e2d\uff0c\u5982\u4f55\u91cd\u547d\u540d\u7279\u5b9a\u7684\u5217\u7d22\u5f15\uff1f<\/strong>
\u5982\u679c\u60a8\u53ea\u60f3\u91cd\u547d\u540d\u7279\u5b9a\u7684\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528rename()<\/code>\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u5141\u8bb8\u60a8\u6307\u5b9a\u8981\u66f4\u6539\u7684\u5217\u540d\uff0c\u5e76\u4fdd\u6301\u5176\u4ed6\u5217\u540d\u4e0d\u53d8\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f20\u5165\u4e00\u4e2a\u5b57\u5178\uff0c\u952e\u4e3a\u65e7\u5217\u540d\uff0c\u503c\u4e3a\u65b0\u5217\u540d\u3002\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
df.rename(columns={'A': 'NewNameA'}, inplace=True)\n<\/code><\/pre>\n
\u8fd9\u6837\uff0c\u53ea\u6709\u5217A\u4f1a\u88ab\u91cd\u547d\u540d\u4e3aNewNameA\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Python\u4fee\u6539\u591a\u7ea7\u7d22\u5f15\u7684\u5217\u540d\uff1f<\/strong>
\u5bf9\u4e8e\u5177\u6709\u591a\u7ea7\u5217\u7d22\u5f15\u7684DataFrame\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7set_levels()<\/code>\u65b9\u6cd5\u6216\u76f4\u63a5\u5bf9columns<\/code>\u5c5e\u6027\u8fdb\u884c\u8d4b\u503c\u6765\u4fee\u6539\u5217\u7d22\u5f15\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u7684DataFrame\u6709\u4e24\u4e2a\u7ea7\u522b\u7684\u5217\u7d22\u5f15\uff0c\u60a8\u53ef\u4ee5\u8fd9\u6837\u4fee\u6539\uff1a  <\/p>\n
import pandas as pd\n\n# \u521b\u5efa\u591a\u7ea7\u7d22\u5f15\u7684DataFrame\narrays = [['A', 'A', 'B', 'B'], ['one', 'two', 'one', 'two']]\nindex = pd.MultiIndex.from_arrays(arrays, names=('first', 'second'))\ndf = pd.DataFrame([[1, 2, 3, 4]], columns=index)\n\n# \u4fee\u6539\u591a\u7ea7\u5217\u7d22\u5f15\ndf.columns = pd.MultiIndex.from_tuples([('A', 'new_one'), ('A', 'new_two'), ('B', 'new_one'), ('B', 'new_two')])\nprint(df)\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u8c03\u6574\u591a\u7ea7\u7d22\u5f15\u7684\u7ed3\u6784\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4fee\u6539\u5217\u7d22\u5f15\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5305\u62ecrename\u65b9\u6cd5\u3001\u8d4b\u503c\u65b9\u5f0f\u548c\u901a\u8fc7set_axis\u65b9\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709 […]","protected":false},"author":3,"featured_media":1023000,"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\/1022995"}],"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=1022995"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1022995\/revisions"}],"predecessor-version":[{"id":1023001,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1022995\/revisions\/1023001"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1023000"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1022995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1022995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1022995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}