{"id":1144171,"date":"2025-01-08T22:57:20","date_gmt":"2025-01-08T14:57:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1144171.html"},"modified":"2025-01-08T22:57:22","modified_gmt":"2025-01-08T14:57:22","slug":"python%e5%a6%82%e4%bd%95%e6%a0%b9%e6%8d%ae%e4%b8%80%e8%a1%8c%e6%88%96%e4%b8%80%e5%88%97%e6%95%b4%e4%bd%93%e6%8e%92%e5%ba%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1144171.html","title":{"rendered":"python\u5982\u4f55\u6839\u636e\u4e00\u884c\u6216\u4e00\u5217\u6574\u4f53\u6392\u5e8f"},"content":{"rendered":"

\"python\u5982\u4f55\u6839\u636e\u4e00\u884c\u6216\u4e00\u5217\u6574\u4f53\u6392\u5e8f\"<\/p>\n

Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5bf9\u4e00\u884c\u6216\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff1a\u4f7f\u7528\u5185\u7f6e\u7684sort()\u65b9\u6cd5\u3001\u4f7f\u7528sorted()\u51fd\u6570\u3001\u7ed3\u5408pandas\u5e93\u8fdb\u884c\u6392\u5e8f\u3002<\/strong> \u5176\u4e2d\uff0c\u7ed3\u5408pandas\u5e93\u8fdb\u884c\u6392\u5e8f<\/strong> \u662f\u6700\u4e3a\u65b9\u4fbf\u548c\u5f3a\u5927\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u56e0\u4e3apandas\u4e13\u95e8\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u4fbf\u6377\u7684\u65b9\u6cd5\u6765\u5904\u7406\u6570\u636e\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u5bf9\u4e00\u884c\u6216\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n<\/p>\n

\n

\u4e00\u3001\u5b89\u88c5\u4e0e\u5bfc\u5165pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165pandas\u5e93\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e\u6846\uff08DataFrame\uff09<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6570\u636e\u901a\u5e38\u5b58\u50a8\u5728\u6570\u636e\u6846\u4e2d\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846\uff1a<\/p>\n<\/p>\n
data = {<\/p>\n
    'A': [3, 2, 1],<\/p>\n
    'B': [1, 3, 2],<\/p>\n
    'C': [2, 1, 3]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  3  1  2<\/p>\n
1  2  3  1<\/p>\n
2  1  2  3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u6309\u5217\u6392\u5e8f<\/h3>\n<\/p>\n
1. \u5bf9\u5355\u5217\u8fdb\u884c\u6392\u5e8f<\/strong><\/p>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528sort_values()<\/code>\u65b9\u6cd5\u5bf9\u5355\u5217\u8fdb\u884c\u6392\u5e8f\u3002\u5047\u8bbe\u6211\u4eec\u8981\u5bf9\u5217'A'\u8fdb\u884c\u6392\u5e8f\uff1a<\/p>\n<\/p>\n
df_sorted = df.sort_values(by='A')<\/p>\n
print(df_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
2  1  2  3<\/p>\n
1  2  3  1<\/p>\n
0  3  1  2<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5bf9\u591a\u5217\u8fdb\u884c\u6392\u5e8f<\/strong><\/p>\n<\/p>\n
\u53ef\u4ee5\u4f20\u9012\u4e00\u4e2a\u5217\u8868\u6765\u5bf9\u591a\u5217\u8fdb\u884c\u6392\u5e8f\u3002\u4f8b\u5982\uff0c\u5148\u6309\u5217'A'\u6392\u5e8f\uff0c\u518d\u6309\u5217'B'\u6392\u5e8f\uff1a<\/p>\n<\/p>\n
df_sorted = df.sort_values(by=['A', 'B'])<\/p>\n
print(df_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
2  1  2  3<\/p>\n
1  2  3  1<\/p>\n
0  3  1  2<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6309\u884c\u6392\u5e8f<\/h3>\n<\/p>\n
1. \u5bf9\u5355\u884c\u8fdb\u884c\u6392\u5e8f<\/strong><\/p>\n<\/p>\n
\u5bf9\u4e8e\u6309\u884c\u6392\u5e8f\uff0c\u9996\u5148\u9700\u8981\u63d0\u53d6\u51fa\u7279\u5b9a\u884c\uff0c\u7136\u540e\u5bf9\u5176\u8fdb\u884c\u6392\u5e8f\u3002\u5047\u8bbe\u6211\u4eec\u8981\u5bf9\u7b2c0\u884c\u8fdb\u884c\u6392\u5e8f\uff1a<\/p>\n<\/p>\n
row_sorted = sorted(df.iloc[0])<\/p>\n
print(row_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
[1, 2, 3]<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5c06\u6392\u5e8f\u7ed3\u679c\u63d2\u56de\u6570\u636e\u6846<\/strong><\/p>\n<\/p>\n
\u6392\u5e8f\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5c06\u6392\u5e8f\u7ed3\u679c\u63d2\u56de\u6570\u636e\u6846\u4e2d\uff1a<\/p>\n<\/p>\n
df.iloc[0] = sorted(df.iloc[0])<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  1  2  3<\/p>\n
1  2  3  1<\/p>\n
2  1  2  3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u6309\u884c\u6216\u5217\u964d\u5e8f\u6392\u5e8f<\/h3>\n<\/p>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0csort_values()<\/code>\u65b9\u6cd5\u662f\u5347\u5e8f\u6392\u5e8f\u3002\u5982\u679c\u9700\u8981\u964d\u5e8f\u6392\u5e8f\uff0c\u53ef\u4ee5\u4f7f\u7528ascending=False<\/code>\u53c2\u6570\uff1a<\/p>\n<\/p>\n
1. \u6309\u5217\u964d\u5e8f\u6392\u5e8f<\/strong><\/p>\n<\/p>\n
df_sorted = df.sort_values(by='A', ascending=False)<\/p>\n
print(df_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  3  1  2<\/p>\n
1  2  3  1<\/p>\n
2  1  2  3<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6309\u884c\u964d\u5e8f\u6392\u5e8f<\/strong><\/p>\n<\/p>\n
df.iloc[0] = sorted(df.iloc[0], reverse=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  3  2  1<\/p>\n
1  2  3  1<\/p>\n
2  1  2  3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u6570\u636e\u5904\u7406\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002\u53ef\u4ee5\u4f7f\u7528na_position<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u7f3a\u5931\u503c\u7684\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n
1. \u7f3a\u5931\u503c\u653e\u5728\u5f00\u5934<\/strong><\/p>\n<\/p>\n
data = {<\/p>\n
    'A': [3, 2, None],<\/p>\n
    'B': [1, 3, 2],<\/p>\n
    'C': [2, None, 3]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df_sorted = df.sort_values(by='A', na_position='first')<\/p>\n
print(df_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
     A  B    C<\/p>\n
2  NaN  2  3.0<\/p>\n
1  2.0  3  NaN<\/p>\n
0  3.0  1  2.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u7f3a\u5931\u503c\u653e\u5728\u7ed3\u5c3e<\/strong><\/p>\n<\/p>\n
df_sorted = df.sort_values(by='A', na_position='last')<\/p>\n
print(df_sorted)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
     A  B    C<\/p>\n
1  2.0  3  NaN<\/p>\n
0  3.0  1  2.0<\/p>\n
2  NaN  2  3.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u63a2\u8ba8\u4e86\u5982\u4f55\u4f7f\u7528Python\u7ed3\u5408pandas\u5e93\u5bf9\u6570\u636e\u6846\u4e2d\u7684\u884c\u6216\u5217\u8fdb\u884c\u6392\u5e8f\u3002\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528sort_values()\u65b9\u6cd5\u5bf9\u5217\u8fdb\u884c\u6392\u5e8f<\/strong>\u3001\u63d0\u53d6\u884c\u540e\u4f7f\u7528sorted()\u51fd\u6570\u8fdb\u884c\u6392\u5e8f<\/strong>\u3001\u5904\u7406\u7f3a\u5931\u503c<\/strong>\u7b49\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u9ad8\u6548\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\uff0c\u63d0\u9ad8\u6570\u636e\u64cd\u4f5c\u7684\u7075\u6d3b\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5bf9\u4e8c\u7ef4\u6570\u7ec4\u7684\u67d0\u4e00\u884c\u8fdb\u884c\u6392\u5e8f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u5bf9\u4e8c\u7ef4\u6570\u7ec4\u7684\u7279\u5b9a\u884c\u8fdb\u884c\u6392\u5e8f\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86NumPy\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u901a\u8fc7numpy.argsort()<\/code>\u51fd\u6570\u83b7\u53d6\u6392\u5e8f\u540e\u7684\u7d22\u5f15\uff0c\u5e76\u4f7f\u7528\u8fd9\u4e9b\u7d22\u5f15\u91cd\u65b0\u6392\u5217\u6570\u7ec4\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import numpy as np\n\narray = np.array([[3, 1, 2], [6, 5, 4]])\nsorted_row = array[0, np.argsort(array[0])]\nprint(sorted_row)\n<\/code><\/pre>\n
\u6b64\u4ee3\u7801\u5c06\u5bf9\u7b2c\u4e00\u884c\u8fdb\u884c\u6392\u5e8f\uff0c\u5e76\u8f93\u51fa\u6392\u5e8f\u540e\u7684\u7ed3\u679c\u3002<\/p>\n
\u5982\u4f55\u5bf9DataFrame\u4e2d\u7684\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff1f<\/strong>
\u4f7f\u7528Pandas\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9DataFrame\u4e2d\u7684\u67d0\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pandas\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528sort_values()<\/code>\u51fd\u6570\u5bf9\u6307\u5b9a\u5217\u8fdb\u884c\u6392\u5e8f\uff0c\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import pandas as pd\n\ndata = {'A': [3, 1, 2], 'B': [6, 5, 4]}\ndf = pd.DataFrame(data)\nsorted_df = df.sort_values(by='A')\nprint(sorted_df)\n<\/code><\/pre>\n
\u8fd9\u6bb5\u4ee3\u7801\u5c06\u6309\u7167\u5217'A'\u7684\u503c\u5bf9\u6574\u4e2aDataFrame\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5b9e\u73b0\u6309\u884c\u6216\u6309\u5217\u7684\u81ea\u5b9a\u4e49\u6392\u5e8f\uff1f<\/strong>
\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684sorted()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u81ea\u5b9a\u4e49\u6392\u5e8f\u3002\u5bf9\u5217\u8868\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u6392\u5e8f\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6ekey<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u6392\u5e8f\u7684\u6807\u51c6\u3002\u4f8b\u5982\uff0c\u82e5\u8981\u6309\u884c\u5bf9\u67d0\u884c\u7684\u5143\u7d20\u8fdb\u884c\u81ea\u5b9a\u4e49\u6392\u5e8f\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1a  <\/p>\n
array = [[3, 1, 2], [6, 5, 4]]\nsorted_row = sorted(array[0], key=lambda x: -x)  # \u6309\u964d\u5e8f\u6392\u5e8f\nprint(sorted_row)\n<\/code><\/pre>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u7b2c\u4e00\u884c\u7684\u5143\u7d20\u88ab\u6309\u964d\u5e8f\u6392\u5217\u3002\u5bf9\u4e8e\u5217\u7684\u81ea\u5b9a\u4e49\u6392\u5e8f\uff0c\u4f60\u53ef\u4ee5\u9996\u5148\u63d0\u53d6\u5217\uff0c\u7136\u540e\u518d\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5bf9\u4e00\u884c\u6216\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff1a\u4f7f\u7528\u5185\u7f6e\u7684sort()\u65b9\u6cd5\u3001\u4f7f\u7528sorted()\u51fd\u6570\u3001\u7ed3\u5408p […]","protected":false},"author":3,"featured_media":1144178,"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\/1144171"}],"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=1144171"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1144171\/revisions"}],"predecessor-version":[{"id":1144179,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1144171\/revisions\/1144179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1144178"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1144171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1144171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1144171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}