{"id":1137356,"date":"2025-01-08T21:47:35","date_gmt":"2025-01-08T13:47:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1137356.html"},"modified":"2025-01-08T21:47:38","modified_gmt":"2025-01-08T13:47:38","slug":"python%e5%a6%82%e4%bd%95%e6%af%94%e8%be%83%e4%b8%a4%e4%b8%aa%e6%95%b0%e7%bb%84%e4%b8%ad%e5%85%83%e7%b4%a0%e7%9a%84%e4%bd%8d%e7%bd%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1137356.html","title":{"rendered":"python\u5982\u4f55\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e"},"content":{"rendered":"

\"python\u5982\u4f55\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\"<\/p>\n

\u5728Python\u4e2d\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u6709\u51e0\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u5faa\u73af\u3001\u5217\u8868\u89e3\u6790\u3001\u4ee5\u53caNumPy\u5e93\u7b49\u3002\u5faa\u73af\u3001\u5217\u8868\u89e3\u6790\u3001NumPy\u5e93\u7b49<\/strong>\u3002\u8fd9\u91cc\u6211\u4eec\u5c06\u8be6\u7ec6\u8ba8\u8bba\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u4f7f\u7528NumPy\u5e93\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002NumPy\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\uff0c\u4f7f\u5f97\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u5143\u7d20\u7684\u4f4d\u7f6e\u53d8\u5f97\u7b80\u5355\u4e14\u9ad8\u6548\u3002\u5177\u4f53\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u4f7f\u7528NumPy\u5e93\u4e2d\u7684np.where<\/code>\u51fd\u6570\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
array1 = np.array([1, 2, 3, 4, 5])<\/p>\n
array2 = np.array([1, 0, 3, 0, 5])<\/p>\n
comparison = np.where(array1 == array2)<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", comparison)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cnp.where<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6570\u7ec4\u4e2d\u76f8\u540c\u5143\u7d20\u4f4d\u7f6e\u7684\u5143\u7ec4\u3002\u4f60\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5904\u7406\u8fd9\u4e2a\u5143\u7ec4\u6765\u83b7\u5f97\u4f60\u9700\u8981\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528\u5faa\u73af\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4<\/h3>\n<\/p>\n
\u4f7f\u7528\u5faa\u73af\u662f\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u4f4d\u7f6e\u7684\u6700\u57fa\u672c\u65b9\u6cd5\u3002\u5c3d\u7ba1\u8fd9\u79cd\u65b9\u6cd5\u53ef\u80fd\u4e0d\u5982NumPy\u9ad8\u6548\uff0c\u4f46\u5b83\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u5408\u521d\u5b66\u8005\u7406\u89e3\u548c\u5e94\u7528\u3002<\/p>\n<\/p>\n
1. \u57fa\u672c\u5faa\u73af\u65b9\u6cd5<\/h4>\n<\/p>\n
array1 = [1, 2, 3, 4, 5]<\/p>\n
array2 = [1, 0, 3, 0, 5]<\/p>\n
for i in range(len(array1)):<\/p>\n
    if array1[i] == array2[i]:<\/p>\n
        print(f"\u5143\u7d20\u5728\u4f4d\u7f6e {i} \u76f8\u540c\uff1a{array1[i]}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u7b80\u5355\u7684for<\/code>\u5faa\u73af\u904d\u5386\u4e24\u4e2a\u6570\u7ec4\uff0c\u5e76\u5728\u6bcf\u4e2a\u4f4d\u7f6e\u4e0a\u6bd4\u8f83\u5b83\u4eec\u7684\u5143\u7d20\u3002\u5982\u679c\u4e24\u4e2a\u5143\u7d20\u76f8\u540c\uff0c\u5219\u6253\u5370\u51fa\u5b83\u4eec\u7684\u4f4d\u7f6e\u548c\u503c\u3002<\/p>\n<\/p>\n
2. \u4f18\u5316\u5faa\u73af\u65b9\u6cd5<\/h4>\n<\/p>\n
\u867d\u7136\u57fa\u672c\u5faa\u73af\u65b9\u6cd5\u5df2\u7ecf\u53ef\u4ee5\u6ee1\u8db3\u9700\u6c42\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u8fdb\u4e00\u6b65\u4f18\u5316\u4ee3\u7801\uff0c\u4f7f\u5176\u66f4\u5177\u53ef\u8bfb\u6027\u548c\u6548\u7387\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u66f4\u4f18\u5316\u7684\u7248\u672c\uff1a<\/p>\n<\/p>\n
def compare_arrays(arr1, arr2):<\/p>\n
    if len(arr1) != len(arr2):<\/p>\n
        rAI<\/a>se ValueError("\u6570\u7ec4\u957f\u5ea6\u4e0d\u76f8\u7b49")<\/p>\n
    identical_positions = []<\/p>\n
    for i, (a, b) in enumerate(zip(arr1, arr2)):<\/p>\n
        if a == b:<\/p>\n
            identical_positions.append(i)<\/p>\n
    return identical_positions<\/p>\n
array1 = [1, 2, 3, 4, 5]<\/p>\n
array2 = [1, 0, 3, 0, 5]<\/p>\n
identical_positions = compare_arrays(array1, array2)<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", identical_positions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86enumerate<\/code>\u548czip<\/code>\u51fd\u6570\u6765\u7b80\u5316\u5faa\u73af\uff0c\u5e76\u5c06\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u89e3\u6790<\/h3>\n<\/p>\n
\u5217\u8868\u89e3\u6790\u662f\u4e00\u79cd\u9ad8\u6548\u4e14\u7b80\u6d01\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u4f4d\u7f6e\u3002\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\uff0c\u8fd8\u53ef\u4ee5\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u63d0\u5347\u6027\u80fd\u3002<\/p>\n<\/p>\n
1. \u57fa\u672c\u5217\u8868\u89e3\u6790<\/h4>\n<\/p>\n
array1 = [1, 2, 3, 4, 5]<\/p>\n
array2 = [1, 0, 3, 0, 5]<\/p>\n
identical_positions = [i for i in range(len(array1)) if array1[i] == array2[i]]<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", identical_positions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5217\u8868\u89e3\u6790\u6765\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u76f8\u540c\u5143\u7d20\u4f4d\u7f6e\u7684\u5217\u8868\u3002\u8fd9\u4e2a\u65b9\u6cd5\u6bd4\u4f7f\u7528\u5faa\u73af\u66f4\u52a0\u7b80\u6d01\u548c\u76f4\u89c2\u3002<\/p>\n<\/p>\n
2. \u9ad8\u7ea7\u5217\u8868\u89e3\u6790<\/h4>\n<\/p>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u5728\u5217\u8868\u89e3\u6790\u4e2d\u4f7f\u7528\u66f4\u591a\u7684\u6761\u4ef6\u548c\u903b\u8f91\uff0c\u4ee5\u6ee1\u8db3\u66f4\u590d\u6742\u7684\u9700\u6c42\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u9ad8\u7ea7\u5217\u8868\u89e3\u6790\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
array1 = [1, 2, 3, 4, 5]<\/p>\n
array2 = [1, 0, 3, 0, 5]<\/p>\n
identical_positions = [(i, array1[i]) for i in range(len(array1)) if array1[i] == array2[i]]<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u548c\u503c:", identical_positions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4e0d\u4ec5\u83b7\u53d6\u4e86\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\uff0c\u8fd8\u5c06\u8fd9\u4e9b\u5143\u7d20\u7684\u503c\u4e5f\u5b58\u50a8\u5728\u4e00\u4e2a\u5143\u7ec4\u4e2d\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/h3>\n<\/p>\n
NumPy\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u4f7f\u5f97\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u548c\u9ad8\u6548\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528NumPy\u5e93\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
1. \u57fa\u672cNumPy\u65b9\u6cd5<\/h4>\n<\/p>\n
import numpy as np<\/p>\n
array1 = np.array([1, 2, 3, 4, 5])<\/p>\n
array2 = np.array([1, 0, 3, 0, 5])<\/p>\n
comparison = np.where(array1 == array2)<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", comparison[0])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cnp.where<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u76f8\u540c\u5143\u7d20\u4f4d\u7f6e\u7684\u6570\u7ec4\u3002\u6211\u4eec\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5904\u7406\u8fd9\u4e2a\u6570\u7ec4\u4ee5\u83b7\u5f97\u6240\u9700\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n
2. \u9ad8\u7ea7NumPy\u65b9\u6cd5<\/h4>\n<\/p>\n
NumPy\u5e93\u8fd8\u63d0\u4f9b\u4e86\u66f4\u591a\u9ad8\u7ea7\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u6bd4\u8f83\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528np.nonzero<\/code>\u51fd\u6570\u6765\u83b7\u53d6\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u7684\u5143\u7d20\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
array1 = np.array([1, 2, 3, 4, 5])<\/p>\n
array2 = np.array([1, 0, 3, 0, 5])<\/p>\n
comparison = np.nonzero(array1 == array2)<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", comparison[0])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cnp.nonzero<\/code>\u51fd\u6570\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u76f8\u540c\u5143\u7d20\u4f4d\u7f6e\u7684\u6570\u7ec4\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0enp.where<\/code>\u7c7b\u4f3c\uff0c\u4f46\u5728\u5904\u7406\u590d\u6742\u6761\u4ef6\u65f6\u66f4\u52a0\u7075\u6d3b\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Pandas\u5e93<\/h3>\n<\/p>\n
Pandas\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u4e5f\u53ef\u4ee5\u7528\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u3002Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u51fd\u6570\uff0c\u53ef\u4ee5\u7b80\u5316\u6570\u7ec4\u6bd4\u8f83\u7684\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n
1. \u57fa\u672cPandas\u65b9\u6cd5<\/h4>\n<\/p>\n
import pandas as pd<\/p>\n
array1 = pd.Series([1, 2, 3, 4, 5])<\/p>\n
array2 = pd.Series([1, 0, 3, 0, 5])<\/p>\n
comparison = array1 == array2<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", comparison[comparison].index.tolist())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Pandas\u7684Series<\/code>\u5bf9\u8c61\u6765\u5b58\u50a8\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u83b7\u53d6\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
2. \u9ad8\u7ea7Pandas\u65b9\u6cd5<\/h4>\n<\/p>\n
Pandas\u5e93\u8fd8\u63d0\u4f9b\u4e86\u66f4\u591a\u9ad8\u7ea7\u7684\u6570\u636e\u64cd\u4f5c\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u6bd4\u8f83\u9700\u6c42\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528apply<\/code>\u51fd\u6570\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
array1 = pd.Series([1, 2, 3, 4, 5])<\/p>\n
array2 = pd.Series([1, 0, 3, 0, 5])<\/p>\n
comparison = array1.apply(lambda x: x in array2.values)<\/p>\n
print("\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e:", comparison[comparison].index.tolist())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528apply<\/code>\u51fd\u6570\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\uff0c\u5e76\u83b7\u53d6\u76f8\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u7f16\u7a0b\u4efb\u52a1\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e2a\u4efb\u52a1\uff0c\u5305\u62ec\u5faa\u73af\u3001\u5217\u8868\u89e3\u6790\u3001NumPy\u5e93\u548cPandas\u5e93\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
\u5faa\u73af<\/strong>\u65b9\u6cd5\u9002\u5408\u521d\u5b66\u8005\u7406\u89e3\u548c\u5e94\u7528\uff0c\u4f46\u5728\u5904\u7406\u5927\u578b\u6570\u7ec4\u65f6\u53ef\u80fd\u6548\u7387\u8f83\u4f4e\u3002\u5217\u8868\u89e3\u6790<\/strong>\u65b9\u6cd5\u7b80\u6d01\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u6bd4\u8f83\u9700\u6c42\u3002NumPy\u5e93<\/strong>\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u6570\u7ec4\u548c\u590d\u6742\u7684\u6bd4\u8f83\u9700\u6c42\u3002Pandas\u5e93<\/strong>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u5e0c\u671b\u901a\u8fc7\u8fd9\u7bc7\u6587\u7ae0\uff0c\u4f60\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u7684\u5143\u7d20\u4f4d\u7f6e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u6216\u5217\u8868\u63a8\u5bfc\u5f0f\u6765\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u4f4d\u7f6e\u3002\u901a\u8fc7\u904d\u5386\u4e24\u4e2a\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528\u7d22\u5f15\u6765\u68c0\u67e5\u76f8\u540c\u4f4d\u7f6e\u7684\u5143\u7d20\u662f\u5426\u76f8\u7b49\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u627e\u5230\u5b83\u4eec\u7684\u4e0d\u540c\u4e4b\u5904\u3002\u4f7f\u7528enumerate<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u60a8\u83b7\u53d6\u6bcf\u4e2a\u5143\u7d20\u7684\u7d22\u5f15\u3002<\/p>\n
\u5982\u679c\u4e24\u4e2a\u6570\u7ec4\u7684\u957f\u5ea6\u4e0d\u540c\uff0c\u5982\u4f55\u5904\u7406\uff1f<\/strong>
\u5f53\u4e24\u4e2a\u6570\u7ec4\u7684\u957f\u5ea6\u4e0d\u540c\u65f6\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u53ea\u6bd4\u8f83\u5230\u8f83\u77ed\u6570\u7ec4\u7684\u957f\u5ea6\uff0c\u6216\u8005\u4f7f\u7528\u586b\u5145\u65b9\u6cd5\uff08\u5982None<\/code>\u6216\u5176\u4ed6\u9ed8\u8ba4\u503c\uff09\u6765\u4f7f\u4e24\u4e2a\u6570\u7ec4\u5177\u6709\u76f8\u540c\u7684\u957f\u5ea6\u3002\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u786e\u4fdd\u5728\u6bd4\u8f83\u65f6\u4e0d\u4f1a\u8d85\u51fa\u6570\u7ec4\u7684\u8303\u56f4\u3002<\/p>\n
\u662f\u5426\u6709\u5e93\u53ef\u4ee5\u7b80\u5316\u6570\u7ec4\u4f4d\u7f6e\u6bd4\u8f83\u7684\u8fc7\u7a0b\uff1f<\/strong>
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\u5982\u4f55\u8f93\u51fa\u4e0d\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u548c\u5bf9\u5e94\u7684\u503c\uff1f<\/strong>
\u8981\u8f93\u51fa\u4e0d\u540c\u5143\u7d20\u7684\u4f4d\u7f6e\u548c\u5bf9\u5e94\u7684\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u7ed3\u5408enumerate<\/code>\u51fd\u6570\u6765\u904d\u5386\u6570\u7ec4\uff0c\u5e76\u5728\u53d1\u73b0\u4e0d\u540c\u5143\u7d20\u65f6\u8bb0\u5f55\u5176\u7d22\u5f15\u548c\u503c\u3002\u901a\u8fc7\u5c06\u8fd9\u4e9b\u4fe1\u606f\u5b58\u50a8\u5728\u5217\u8868\u6216\u5b57\u5178\u4e2d\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u67e5\u770b\u6240\u6709\u4e0d\u540c\u4e4b\u5904\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u6bd4\u8f83\u4e24\u4e2a\u6570\u7ec4\u4e2d\u5143\u7d20\u7684\u4f4d\u7f6e\u6709\u51e0\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u5faa\u73af\u3001\u5217\u8868\u89e3\u6790\u3001\u4ee5\u53caNumPy\u5e93\u7b49\u3002\u5faa\u73af\u3001\u5217 […]","protected":false},"author":3,"featured_media":1137364,"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\/1137356"}],"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=1137356"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1137356\/revisions"}],"predecessor-version":[{"id":1137366,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1137356\/revisions\/1137366"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1137364"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1137356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1137356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1137356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}