{"id":1053586,"date":"2024-12-31T14:35:09","date_gmt":"2024-12-31T06:35:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1053586.html"},"modified":"2024-12-31T14:35:12","modified_gmt":"2024-12-31T06:35:12","slug":"python%e5%a6%82%e4%bd%95%e4%bf%9d%e7%95%99%e7%b4%a2%e5%bc%95%e6%b7%bb%e5%8a%a0%e6%96%b0%e7%9a%84%e7%b4%a2%e5%bc%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1053586.html","title":{"rendered":"python\u5982\u4f55\u4fdd\u7559\u7d22\u5f15\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15"},"content":{"rendered":"

\"python\u5982\u4f55\u4fdd\u7559\u7d22\u5f15\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\"<\/p>\n

Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u4fdd\u7559\u73b0\u6709\u7684\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff0c\u4f7f\u7528pandas\u5e93\u4e2d\u7684reset_index<\/code>\u65b9\u6cd5\u3001set_index<\/code>\u65b9\u6cd5\u3001assign<\/code>\u65b9\u6cd5<\/strong>\uff0c\u662f\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u7684\u5e38\u7528\u624b\u6bb5\u3002reset_index<\/code>\u53ef\u4ee5\u5c06\u5f53\u524d\u7d22\u5f15\u53d8\u4e3a\u5217\u5e76\u751f\u6210\u65b0\u7684\u9ed8\u8ba4\u7d22\u5f15\uff0cset_index<\/code>\u5141\u8bb8\u5c06\u67d0\u5217\u8bbe\u4e3a\u65b0\u7684\u7d22\u5f15\uff0cassign<\/code>\u53ef\u4ee5\u4e3aDataFrame\u6dfb\u52a0\u65b0\u7684\u5217<\/strong>\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecdreset_index<\/code>\u65b9\u6cd5\u7684\u4f7f\u7528\u3002<\/p>\n<\/p>\n

reset_index<\/code>\u65b9\u6cd5\u662fpandas\u5e93\u4e2d\u7528\u4e8e\u91cd\u7f6eDataFrame\u7d22\u5f15\u7684\u65b9\u6cd5\uff0c\u901a\u5e38\u7528\u4e8e\u5c06\u5f53\u524d\u7d22\u5f15\u4fdd\u5b58\u4e3a\u5217\u5e76\u751f\u6210\u65b0\u7684\u9ed8\u8ba4\u6574\u6570\u7d22\u5f15\u3002\u4f7f\u7528reset_index<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u53c2\u6570drop<\/code>\u4e3aFalse<\/code>\uff08\u9ed8\u8ba4\uff09\u6765\u5c06\u5f53\u524d\u7d22\u5f15\u4fdd\u7559\u4e3aDataFrame\u7684\u4e00\u5217\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93\u7b80\u4ecb<\/h2>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u7684\u5f00\u6e90Python\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u4f7f\u5f97\u6570\u636e\u6e05\u7406\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002Pandas\u4e2d\u6700\u91cd\u8981\u7684\u6570\u636e\u7ed3\u6784\u662fDataFrame\uff0c\u5b83\u7c7b\u4f3c\u4e8eExcel\u8868\u683c\uff0c\u7531\u884c\u548c\u5217\u7ec4\u6210\u3002DataFrame\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u6765\u8bbf\u95ee\u548c\u64cd\u4f5c\u6570\u636e\u3002<\/p>\n<\/p>\n

1\u3001\u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u4f7f\u7528Pandas\u5e93\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u8be5\u5e93\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efaDataFrame<\/h3>\n<\/p>\n
\u5728\u4ecb\u7ecd\u5982\u4f55\u4fdd\u7559\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\u4e4b\u524d\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u521b\u5efa\u4e00\u4e2aDataFrame\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
print("Original DataFrame:")<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n<\/p>\n
Original DataFrame:<\/p>\n
   A  B<\/p>\n
0  1  4<\/p>\n
1  2  5<\/p>\n
2  3  6<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4fdd\u7559\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15<\/h2>\n<\/p>\n
1\u3001\u4f7f\u7528reset_index<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
reset_index<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u5f53\u524d\u7d22\u5f15\u53d8\u4e3a\u5217\u5e76\u751f\u6210\u65b0\u7684\u9ed8\u8ba4\u7d22\u5f15\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df_reset = df.reset_index()<\/p>\n
print("DataFrame after reset_index:")<\/p>\n
print(df_reset)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n<\/p>\n
DataFrame after reset_index:<\/p>\n
   index  A  B<\/p>\n
0      0  1  4<\/p>\n
1      1  2  5<\/p>\n
2      2  3  6<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0creset_index<\/code>\u65b9\u6cd5\u5c06\u539f\u6765\u7684\u7d22\u5f15\u53d8\u4e3a\u540d\u4e3aindex<\/code>\u7684\u65b0\u5217\uff0c\u5e76\u751f\u6210\u4e86\u65b0\u7684\u9ed8\u8ba4\u6574\u6570\u7d22\u5f15\u3002<\/p>\n<\/p>\n
2\u3001\u4f7f\u7528set_index<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
set_index<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u67d0\u5217\u8bbe\u4e3a\u65b0\u7684\u7d22\u5f15\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df_set = df_reset.set_index('index')<\/p>\n
print("DataFrame after set_index:")<\/p>\n
print(df_set)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n<\/p>\n
DataFrame after set_index:<\/p>\n
       A  B<\/p>\n
index      <\/p>\n
0      1  4<\/p>\n
1      2  5<\/p>\n
2      3  6<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cset_index<\/code>\u65b9\u6cd5\u5c06\u540d\u4e3aindex<\/code>\u7684\u5217\u8bbe\u4e3a\u65b0\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n
3\u3001\u4f7f\u7528assign<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u7528\u4e8e\u4e3aDataFrame\u6dfb\u52a0\u65b0\u7684\u5217\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df_assigned = df.assign(new_index=[10, 20, 30])<\/p>\n
print("DataFrame after assign:")<\/p>\n
print(df_assigned)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n<\/p>\n
DataFrame after assign:<\/p>\n
   A  B  new_index<\/p>\n
0  1  4         10<\/p>\n
1  2  5         20<\/p>\n
2  3  6         30<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cassign<\/code>\u65b9\u6cd5\u4e3aDataFrame\u6dfb\u52a0\u4e86\u4e00\u4e2a\u540d\u4e3anew_index<\/code>\u7684\u65b0\u5217\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u7efc\u5408\u793a\u4f8b<\/h2>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7efc\u5408\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u7ed3\u5408\u4f7f\u7528reset_index<\/code>\u3001set_index<\/code>\u548cassign<\/code>\u65b9\u6cd5\u6765\u4fdd\u7559\u73b0\u6709\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
data = {<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u4fdd\u7559\u73b0\u6709\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15<\/strong><\/h2>\n
df_reset = df.reset_index()<\/p>\n
df_set = df_reset.set_index('index')<\/p>\n
df_assigned = df_set.assign(new_index=[10, 20, 30])<\/p>\n
print("Original DataFrame:")<\/p>\n
print(df)<\/p>\n
print("\\nDataFrame after reset_index:")<\/p>\n
print(df_reset)<\/p>\n
print("\\nDataFrame after set_index:")<\/p>\n
print(df_set)<\/p>\n
print("\\nDataFrame after assign:")<\/p>\n
print(df_assigned)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n<\/p>\n
Original DataFrame:<\/p>\n
   A  B<\/p>\n
0  1  4<\/p>\n
1  2  5<\/p>\n
2  3  6<\/p>\n
DataFrame after reset_index:<\/p>\n
   index  A  B<\/p>\n
0      0  1  4<\/p>\n
1      1  2  5<\/p>\n
2      2  3  6<\/p>\n
DataFrame after set_index:<\/p>\n
       A  B<\/p>\n
index      <\/p>\n
0      1  4<\/p>\n
1      2  5<\/p>\n
2      3  6<\/p>\n
DataFrame after assign:<\/p>\n
       A  B  new_index<\/p>\n
index                  <\/p>\n
0      1  4         10<\/p>\n
1      2  5         20<\/p>\n
2      3  6         30<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u7efc\u5408\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528reset_index<\/code>\u65b9\u6cd5\u5c06\u5f53\u524d\u7d22\u5f15\u53d8\u4e3a\u540d\u4e3aindex<\/code>\u7684\u5217\uff0c\u5e76\u751f\u6210\u65b0\u7684\u9ed8\u8ba4\u6574\u6570\u7d22\u5f15\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528set_index<\/code>\u65b9\u6cd5\u5c06index<\/code>\u5217\u8bbe\u4e3a\u65b0\u7684\u7d22\u5f15\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528assign<\/code>\u65b9\u6cd5\u4e3aDataFrame\u6dfb\u52a0\u4e86\u4e00\u4e2a\u540d\u4e3anew_index<\/code>\u7684\u65b0\u5217\u3002<\/p>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u672c\u6587\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528pandas\u5e93\u4fdd\u7559\u73b0\u6709\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\u3002\u6211\u4eec\u4e3b\u8981\u8ba8\u8bba\u4e86reset_index<\/code>\u3001set_index<\/code>\u548cassign<\/code>\u65b9\u6cd5\u7684\u4f7f\u7528\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u64cd\u4f5cDataFrame\u7684\u7d22\u5f15\uff0c\u6ee1\u8db3\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a<\/strong><\/p>\n<\/p>\n
    \n
  1. reset_index<\/code><\/strong>\uff1a\u5c06\u5f53\u524d\u7d22\u5f15\u53d8\u4e3a\u5217\uff0c\u5e76\u751f\u6210\u65b0\u7684\u9ed8\u8ba4\u6574\u6570\u7d22\u5f15\u3002<\/li>\n
  2. set_index<\/code><\/strong>\uff1a\u5c06\u67d0\u5217\u8bbe\u4e3a\u65b0\u7684\u7d22\u5f15\u3002<\/li>\n
  3. assign<\/code><\/strong>\uff1a\u4e3aDataFrame\u6dfb\u52a0\u65b0\u7684\u5217\u3002<\/li>\n<\/ol>\n
    \u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u5728\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u8fc7\u7a0b\u4e2d\u66f4\u597d\u5730\u64cd\u4f5cDataFrame\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5728Python\u4e2d\u5982\u4f55\u4fdd\u7559DataFrame\u7684\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff1f<\/strong>
    \u5728\u4f7f\u7528Pandas\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eignore_index=False<\/code>\u53c2\u6570\u6765\u4fdd\u7559\u539f\u6709\u7684\u7d22\u5f15\u3002\u8981\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff0c\u53ef\u4ee5\u4f7f\u7528reset_index()<\/code>\u51fd\u6570\uff0c\u914d\u5408drop=True<\/code>\u9009\u9879\u4ee5\u907f\u514d\u4fdd\u7559\u65e7\u7d22\u5f15\u5217\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# \u4fdd\u7559\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\ndf_reset = df.reset_index(drop=True)\nprint(df_reset)\n<\/code><\/pre>\n
    \u5728\u4ec0\u4e48\u60c5\u51b5\u4e0b\u9700\u8981\u4fdd\u7559\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff1f<\/strong>
    \u4fdd\u7559\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\u901a\u5e38\u5728\u5904\u7406\u6570\u636e\u65f6\u975e\u5e38\u91cd\u8981\uff0c\u7279\u522b\u662f\u5f53\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u5408\u5e76\u3001\u8fde\u63a5\u6216\u6574\u7406\u65f6\u3002\u4fdd\u7559\u539f\u59cb\u7d22\u5f15\u53ef\u4ee5\u5e2e\u52a9\u8ffd\u8e2a\u6570\u636e\u6765\u6e90\uff0c\u800c\u65b0\u7684\u7d22\u5f15\u6709\u52a9\u4e8e\u66f4\u597d\u5730\u7ba1\u7406\u548c\u5f15\u7528\u6570\u636e\u3002<\/p>\n
    \u5982\u4f55\u5728\u4fdd\u7559\u7d22\u5f15\u7684\u540c\u65f6\u5bf9DataFrame\u8fdb\u884c\u6392\u5e8f\uff1f<\/strong>
    \u53ef\u4ee5\u4f7f\u7528sort_values()<\/code>\u51fd\u6570\u8fdb\u884c\u6392\u5e8f\uff0c\u540c\u65f6\u8bbe\u7f6eignore_index=False<\/code>\u6765\u4fdd\u7559\u539f\u59cb\u7d22\u5f15\u3002\u82e5\u8981\u4fdd\u6301\u65b0\u7d22\u5f15\u7684\u987a\u5e8f\uff0c\u53ef\u4ee5\u5728\u6392\u5e8f\u540e\u518d\u6b21\u8c03\u7528reset_index()<\/code>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n
    df_sorted = df.sort_values(by='A', ignore_index=False)\ndf_sorted_reset = df_sorted.reset_index(drop=True)\nprint(df_sorted_reset)\n<\/code><\/pre>\n
    \u5728\u6dfb\u52a0\u65b0\u7d22\u5f15\u65f6\uff0c\u4f1a\u5f71\u54cd\u5230\u539f\u6709\u6570\u636e\u5417\uff1f<\/strong>
    \u6dfb\u52a0\u65b0\u7d22\u5f15\u901a\u5e38\u4e0d\u4f1a\u5f71\u54cd\u539f\u6709\u6570\u636e\uff0c\u4f46\u5728\u67d0\u4e9b\u64cd\u4f5c\u4e2d\uff08\u5982reset_index()<\/code>\uff09\uff0c\u9700\u8981\u6ce8\u610f\u662f\u5426\u9009\u62e9\u4e86drop=True<\/code>\u3002\u5982\u679c\u9009\u62e9\u4e0d\u5220\u9664\u65e7\u7d22\u5f15\uff0c\u65e7\u7d22\u5f15\u5c06\u4f5c\u4e3a\u65b0\u5217\u4fdd\u7559\u5728DataFrame\u4e2d\uff0c\u53ef\u80fd\u5bfc\u81f4\u6570\u636e\u7684\u91cd\u590d\u6216\u5197\u4f59\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u4fdd\u7559\u73b0\u6709\u7684\u7d22\u5f15\u5e76\u6dfb\u52a0\u65b0\u7684\u7d22\u5f15\uff0c\u4f7f\u7528pandas\u5e93\u4e2d\u7684reset_index\u65b9\u6cd5\u3001 […]","protected":false},"author":3,"featured_media":1053598,"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\/1053586"}],"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=1053586"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1053586\/revisions"}],"predecessor-version":[{"id":1053602,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1053586\/revisions\/1053602"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1053598"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1053586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1053586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1053586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}