{"id":1005974,"date":"2024-12-27T10:40:21","date_gmt":"2024-12-27T02:40:21","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1005974.html"},"modified":"2024-12-27T10:40:24","modified_gmt":"2024-12-27T02:40:24","slug":"python%e7%9a%84array%e5%a6%82%e4%bd%95%e7%b4%a2%e5%bc%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1005974.html","title":{"rendered":"python\u7684array\u5982\u4f55\u7d22\u5f15"},"content":{"rendered":"

\"python\u7684array\u5982\u4f55\u7d22\u5f15\"<\/p>\n

\u5728Python\u4e2d\uff0carray\u7684\u7d22\u5f15\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u901a\u8fc7\u4e0b\u6807\u7d22\u5f15\u3001\u5207\u7247\u3001\u6761\u4ef6\u7d22\u5f15\u3002\u4e0b\u6807\u7d22\u5f15\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u5355\u4e2a\u5143\u7d20\uff0c\u5207\u7247\u53ef\u4ee5\u8bbf\u95ee\u4e00\u4e2a\u8303\u56f4\u5185\u7684\u5143\u7d20\uff0c\u6761\u4ef6\u7d22\u5f15\u53ef\u4ee5\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u7b5b\u9009\u5143\u7d20\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4e0b\u6807\u7d22\u5f15\u7684\u4f7f\u7528\u3002<\/strong><\/p>\n<\/p>\n

\u4e0b\u6807\u7d22\u5f15\u662f\u6700\u57fa\u672c\u7684\u7d22\u5f15\u65b9\u5f0f\uff0c\u901a\u8fc7\u6307\u5b9a\u7d22\u5f15\u4f4d\u7f6e\u6765\u8bbf\u95ee\u6570\u7ec4\u4e2d\u7684\u7279\u5b9a\u5143\u7d20\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u6570\u7ec4arr = [10, 20, 30, 40, 50]<\/code>\uff0c\u8981\u8bbf\u95ee\u7b2c\u4e00\u4e2a\u5143\u7d20\uff0c\u53ef\u4ee5\u4f7f\u7528arr[0]<\/code>\u3002Python\u7684\u7d22\u5f15\u662f\u4ece0\u5f00\u59cb\u7684\uff0c\u56e0\u6b64arr[0]<\/code>\u8868\u793a\u6570\u7ec4\u7684\u7b2c\u4e00\u4e2a\u5143\u7d20\u3002\u901a\u8fc7\u4e0b\u6807\u7d22\u5f15\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u4efb\u4f55\u5355\u4e2a\u5143\u7d20\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u5904\u7406\u6570\u7ec4\u65f6\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n

\n

\u4e00\u3001\u4e0b\u6807\u7d22\u5f15<\/p>\n<\/p>\n

\u4e0b\u6807\u7d22\u5f15\u662f\u6700\u57fa\u672c\u7684\u7d22\u5f15\u65b9\u5f0f\uff0c\u9002\u7528\u4e8e\u8bbf\u95ee\u548c\u4fee\u6539\u6570\u7ec4\u7684\u5355\u4e2a\u5143\u7d20\u3002Python\u7684\u6570\u7ec4\u4e0b\u6807\u4ece0\u5f00\u59cb\uff0c\u8fd9\u610f\u5473\u7740\u7b2c\u4e00\u4e2a\u5143\u7d20\u7684\u7d22\u5f15\u662f0\uff0c\u7b2c\u4e8c\u4e2a\u5143\u7d20\u7684\u7d22\u5f15\u662f1\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u4f60\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u6570\u7ec4\u7684\u4efb\u4f55\u5143\u7d20\u3002<\/p>\n<\/p>\n

\u4f8b\u5982\uff0c\u8003\u8651\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

import array<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/strong><\/h2>\n
arr = array.array('i', [10, 20, 30, 40, 50])<\/p>\n
\u8bbf\u95ee\u548c\u6253\u5370\u7b2c\u4e00\u4e2a\u5143\u7d20<\/strong><\/h2>\n
print(arr[0])  # \u8f93\u51fa: 10<\/p>\n
\u4fee\u6539\u7b2c\u4e09\u4e2a\u5143\u7d20<\/strong><\/h2>\n
arr[2] = 35<\/p>\n
print(arr)  # \u8f93\u51fa: array('i', [10, 20, 35, 40, 50])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7arr[0]<\/code>\u8bbf\u95ee\u6570\u7ec4\u7684\u7b2c\u4e00\u4e2a\u5143\u7d20\uff0c\u5e76\u901a\u8fc7arr[2] = 35<\/code>\u4fee\u6539\u4e86\u7b2c\u4e09\u4e2a\u5143\u7d20\u7684\u503c\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u5207\u7247<\/p>\n<\/p>\n
\u5207\u7247\u662f\u4e00\u79cd\u5f3a\u5927\u7684\u7d22\u5f15\u65b9\u5f0f\uff0c\u5141\u8bb8\u6211\u4eec\u8bbf\u95ee\u6570\u7ec4\u4e2d\u7684\u4e00\u90e8\u5206\u5143\u7d20\u3002\u901a\u8fc7\u5207\u7247\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u6570\u7ec4\u7684\u5b50\u6570\u7ec4\uff0c\u800c\u65e0\u9700\u6539\u53d8\u539f\u59cb\u6570\u7ec4\u3002<\/p>\n<\/p>\n
\u5207\u7247\u7684\u57fa\u672c\u8bed\u6cd5\u662farr[start:stop:step]<\/code>\uff0c\u5176\u4e2dstart<\/code>\u662f\u5207\u7247\u7684\u5f00\u59cb\u7d22\u5f15\uff0cstop<\/code>\u662f\u5207\u7247\u7684\u7ed3\u675f\u7d22\u5f15\uff08\u4e0d\u5305\u542b\uff09\uff0cstep<\/code>\u662f\u6b65\u957f\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cstart<\/code>\u4e3a0\uff0cstop<\/code>\u4e3a\u6570\u7ec4\u7684\u957f\u5ea6\uff0cstep<\/code>\u4e3a1\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/p>\n
arr = array.array('i', [10, 20, 30, 40, 50])<\/p>\n
\u8bbf\u95ee\u548c\u6253\u5370\u4ece\u7b2c\u4e8c\u4e2a\u5230\u7b2c\u56db\u4e2a\u5143\u7d20<\/strong><\/h2>\n
print(arr[1:4])  # \u8f93\u51fa: array('i', [20, 30, 40])<\/p>\n
\u8bbf\u95ee\u548c\u6253\u5370\u6bcf\u9694\u4e00\u4e2a\u5143\u7d20<\/strong><\/h2>\n
print(arr[0:5:2])  # \u8f93\u51fa: array('i', [10, 30, 50])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0carr[1:4]<\/code>\u8fd4\u56de\u4ece\u7b2c\u4e8c\u4e2a\u5230\u7b2c\u56db\u4e2a\u5143\u7d20\u7684\u5b50\u6570\u7ec4\uff0c\u800carr[0:5:2]<\/code>\u8fd4\u56de\u4ece\u7b2c\u4e00\u4e2a\u5143\u7d20\u5f00\u59cb\uff0c\u6bcf\u9694\u4e00\u4e2a\u5143\u7d20\u7684\u5b50\u6570\u7ec4\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u6761\u4ef6\u7d22\u5f15<\/p>\n<\/p>\n
\u6761\u4ef6\u7d22\u5f15\u662f\u4e00\u79cd\u57fa\u4e8e\u6761\u4ef6\u7b5b\u9009\u6570\u7ec4\u5143\u7d20\u7684\u65b9\u6cd5\u3002\u5728Python\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6216numpy<\/code>\u5e93\u4e2d\u7684\u5e03\u5c14\u7d22\u5f15\u6765\u5b9e\u73b0\u6761\u4ef6\u7d22\u5f15\u3002\u6761\u4ef6\u7d22\u5f15\u5141\u8bb8\u6211\u4eec\u6839\u636e\u7279\u5b9a\u6761\u4ef6\uff0c\u4ece\u6570\u7ec4\u4e2d\u7b5b\u9009\u51fa\u6ee1\u8db3\u6761\u4ef6\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/p>\n
arr = array.array('i', [10, 20, 30, 40, 50])<\/p>\n
\u7b5b\u9009\u51fa\u5927\u4e8e25\u7684\u5143\u7d20<\/strong><\/h2>\n
filtered_arr = [x for x in arr if x > 25]<\/p>\n
print(filtered_arr)  # \u8f93\u51fa: [30, 40, 50]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528numpy<\/code>\u5e93\u7684\u5e03\u5c14\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/strong><\/h2>\n
arr = np.array([10, 20, 30, 40, 50])<\/p>\n
\u7b5b\u9009\u51fa\u5927\u4e8e25\u7684\u5143\u7d20<\/strong><\/h2>\n
filtered_arr = arr[arr > 25]<\/p>\n
print(filtered_arr)  # \u8f93\u51fa: [30 40 50]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e24\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u6839\u636e\u6761\u4ef6x > 25<\/code>\u7b5b\u9009\u51fa\u6570\u7ec4\u4e2d\u5927\u4e8e25\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
\u56db\u3001\u591a\u7ef4\u6570\u7ec4\u7d22\u5f15<\/p>\n<\/p>\n
\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\uff0c\u7d22\u5f15\u7684\u65b9\u5f0f\u7a0d\u6709\u4e0d\u540c\u3002Python\u4e2d\u7684\u591a\u7ef4\u6570\u7ec4\u53ef\u4ee5\u901a\u8fc7\u5143\u7ec4\u5f62\u5f0f\u7684\u7d22\u5f15\u6765\u8bbf\u95ee\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u4f7f\u7528numpy<\/code>\u5e93\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u5e76\u8fdb\u884c\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])<\/p>\n
\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20<\/strong><\/h2>\n
print(arr[1, 2])  # \u8f93\u51fa: 6<\/p>\n
\u8bbf\u95ee\u7b2c\u4e00\u884c\u7684\u6240\u6709\u5143\u7d20<\/strong><\/h2>\n
print(arr[0, :])  # \u8f93\u51fa: [1 2 3]<\/p>\n
\u8bbf\u95ee\u6240\u6709\u884c\u7684\u7b2c\u4e8c\u5217<\/strong><\/h2>\n
print(arr[:, 1])  # \u8f93\u51fa: [2 5 8]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0carr[1, 2]<\/code>\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20\uff0carr[0, :]<\/code>\u8bbf\u95ee\u7b2c\u4e00\u884c\u7684\u6240\u6709\u5143\u7d20\uff0carr[:, 1]<\/code>\u8bbf\u95ee\u6240\u6709\u884c\u7684\u7b2c\u4e8c\u5217\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u8d1f\u7d22\u5f15<\/p>\n<\/p>\n
Python\u4e2d\u7684\u6570\u7ec4\u652f\u6301\u8d1f\u7d22\u5f15\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u4ece\u6570\u7ec4\u7684\u672b\u5c3e\u5f00\u59cb\u8ba1\u6570\uff0c-1\u8868\u793a\u6700\u540e\u4e00\u4e2a\u5143\u7d20\uff0c-2\u8868\u793a\u5012\u6570\u7b2c\u4e8c\u4e2a\u5143\u7d20\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002\u8fd9\u5728\u9700\u8981\u4ece\u540e\u5f80\u524d\u8bbf\u95ee\u6570\u7ec4\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/p>\n
arr = array.array('i', [10, 20, 30, 40, 50])<\/p>\n
\u8bbf\u95ee\u6700\u540e\u4e00\u4e2a\u5143\u7d20<\/strong><\/h2>\n
print(arr[-1])  # \u8f93\u51fa: 50<\/p>\n
\u8bbf\u95ee\u5012\u6570\u7b2c\u4e8c\u4e2a\u5143\u7d20<\/strong><\/h2>\n
print(arr[-2])  # \u8f93\u51fa: 40<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u7ed3\u5408\u4f7f\u7528<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u7ecf\u5e38\u9700\u8981\u7ed3\u5408\u591a\u79cd\u7d22\u5f15\u65b9\u5f0f\u6765\u5b9e\u73b0\u590d\u6742\u7684\u6570\u7ec4\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u7ed3\u5408\u5207\u7247\u548c\u6761\u4ef6\u7d22\u5f15\u6765\u540c\u65f6\u5bf9\u591a\u4e2a\u5143\u7d20\u8fdb\u884c\u7b5b\u9009\u548c\u8bbf\u95ee\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u6574\u6570\u6570\u7ec4<\/strong><\/h2>\n
arr = np.array([10, 20, 30, 40, 50])<\/p>\n
\u8bbf\u95ee\u6570\u7ec4\u7684\u524d\u56db\u4e2a\u5143\u7d20\u4e2d\u5927\u4e8e15\u7684\u5143\u7d20<\/strong><\/h2>\n
result = arr[:4][arr[:4] > 15]<\/p>\n
print(result)  # \u8f93\u51fa: [20 30 40]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u901a\u8fc7\u5207\u7247arr[:4]<\/code>\u8bbf\u95ee\u6570\u7ec4\u7684\u524d\u56db\u4e2a\u5143\u7d20\uff0c\u7136\u540e\u4f7f\u7528\u6761\u4ef6\u7d22\u5f15arr[:4] > 15<\/code>\u7b5b\u9009\u51fa\u5927\u4e8e15\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u7d22\u5f15\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u7075\u6d3b\u5730\u64cd\u4f5c\u6570\u7ec4\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002\u5728\u5b9e\u9645\u7f16\u7a0b\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u7d22\u5f15\u65b9\u5f0f\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\u521b\u5efa\u4e00\u4e2a\u6570\u7ec4\u5e76\u8fdb\u884c\u7d22\u5f15\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u521b\u5efa\u6570\u7ec4\u3002\u9996\u5148\u9700\u8981\u5b89\u88c5NumPy\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install numpy<\/code>\u5b8c\u6210\u3002\u521b\u5efa\u6570\u7ec4\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u8bbf\u95ee\u5143\u7d20\uff0c\u4f8b\u5982\uff0carray[0]<\/code>\u53ef\u4ee5\u83b7\u53d6\u6570\u7ec4\u7684\u7b2c\u4e00\u4e2a\u5143\u7d20\u3002\u6570\u7ec4\u7684\u7d22\u5f15\u662f\u4ece0\u5f00\u59cb\u7684\uff0c\u56e0\u6b64\u8981\u6ce8\u610f\u8fd9\u4e00\u70b9\u3002\u591a\u7ef4\u6570\u7ec4\u7684\u7d22\u5f15\u65b9\u5f0f\u7565\u6709\u4e0d\u540c\uff0c\u4f7f\u7528\u9017\u53f7\u5206\u9694\u7ef4\u5ea6\uff0c\u5982array[0, 1]<\/code>\u8bbf\u95ee\u4e8c\u7ef4\u6570\u7ec4\u7684\u7279\u5b9a\u5143\u7d20\u3002<\/p>\n
\u5728Python\u6570\u7ec4\u4e2d\u5982\u4f55\u8fdb\u884c\u5207\u7247\u64cd\u4f5c\uff1f<\/strong>
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