{"id":1146946,"date":"2025-01-08T23:21:12","date_gmt":"2025-01-08T15:21:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1146946.html"},"modified":"2025-01-08T23:21:14","modified_gmt":"2025-01-08T15:21:14","slug":"%e5%a6%82%e4%bd%95%e5%be%97%e5%88%b0%e5%91%a2python%e4%ba%8c%e7%bb%b4%e6%95%b0%e5%88%97%e4%b8%ad%e7%9a%84%e4%b8%80%e4%b8%aa%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1146946.html","title":{"rendered":"\u5982\u4f55\u5f97\u5230\u5462python\u4e8c\u7ef4\u6570\u5217\u4e2d\u7684\u4e00\u4e2a\u6570"},"content":{"rendered":"

\"\u5982\u4f55\u5f97\u5230\u5462python\u4e8c\u7ef4\u6570\u5217\u4e2d\u7684\u4e00\u4e2a\u6570\"<\/p>\n

\u8981\u5728Python\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u83b7\u53d6\u4e00\u4e2a\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528\u7d22\u5f15\u3001\u5217\u8868\u89e3\u6790\u3001NumPy\u5e93\u3001\u5faa\u73af\u904d\u5386\u7b49\u65b9\u6cd5\u3002<\/strong>\u6211\u4eec\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u8bbf\u95ee\u4e3a\u4f8b\uff0c\u5c55\u5f00\u8be6\u7ec6\u63cf\u8ff0\u3002\u901a\u8fc7\u7d22\u5f15\u8bbf\u95ee\u662f\u6700\u76f4\u63a5\u548c\u9ad8\u6548\u7684\u65b9\u6cd5\uff0cPython\u4e8c\u7ef4\u6570\u7ec4\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u5217\u8868\u7684\u5217\u8868\uff0c\u4f7f\u7528\u884c\u548c\u5217\u7684\u7d22\u5f15\u53ef\u4ee5\u7cbe\u786e\u5b9a\u4f4d\u5230\u76ee\u6807\u5143\u7d20\u3002<\/p>\n<\/p>\n

Python\u4e8c\u7ef4\u6570\u7ec4\uff08\u6216\u5217\u8868\u5217\u8868\uff09\u662f\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u5e94\u7528\u573a\u666f\u3002\u4e86\u89e3\u5982\u4f55\u5728Python\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u83b7\u53d6\u4e00\u4e2a\u6570\u662f\u6570\u636e\u64cd\u4f5c\u4e0e\u5904\u7406\u7684\u57fa\u672c\u6280\u80fd\u3002\u65e0\u8bba\u662f\u8fdb\u884c\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60<\/a>\u3001\u56fe\u50cf\u5904\u7406\u8fd8\u662f\u6e38\u620f\u5f00\u53d1\uff0c\u4e8c\u7ef4\u6570\u7ec4\u90fd\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u90e8\u5206\u3002\u672c\u7bc7\u6587\u7ae0\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u51e0\u79cd\u5728Python\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u83b7\u53d6\u4e00\u4e2a\u6570\u7684\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u8bbf\u95ee<\/h2>\n<\/p>\n

1.1 \u57fa\u672c\u6982\u5ff5<\/h3>\n<\/p>\n

\u4e8c\u7ef4\u6570\u7ec4\u5728Python\u4e2d\u53ef\u4ee5\u7528\u5d4c\u5957\u5217\u8868\u6765\u8868\u793a\u3002\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u4e00\u884c\uff0c\u6574\u4e2a\u5217\u8868\u8868\u793a\u4e8c\u7ef4\u6570\u7ec4\u3002\u901a\u8fc7\u7d22\u5f15\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u5230\u5177\u4f53\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n

# \u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4<\/p>\n
array = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20<\/strong><\/h2>\n
element = array[1][2]<\/p>\n
print(element)  # \u8f93\u51fa 6<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2 \u7d22\u5f15\u8d8a\u754c\u95ee\u9898<\/h3>\n<\/p>\n
\u5728\u4f7f\u7528\u7d22\u5f15\u8bbf\u95ee\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u65f6\uff0c\u5fc5\u987b\u786e\u4fdd\u7d22\u5f15\u5728\u6709\u6548\u8303\u56f4\u5185\u3002\u5426\u5219\uff0c\u4f1a\u5f15\u53d1 IndexError<\/code>\u3002<\/p>\n<\/p>\n
try:<\/p>\n
    element = array[3][0]<\/p>\n
except IndexError:<\/p>\n
    print("\u7d22\u5f15\u8d85\u51fa\u8303\u56f4")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u89e3\u6790<\/h2>\n<\/p>\n
2.1 \u57fa\u672c\u6982\u5ff5<\/h3>\n<\/p>\n
\u5217\u8868\u89e3\u6790\u662fPython\u4e2d\u521b\u5efa\u5217\u8868\u7684\u4e00\u79cd\u7b80\u6d01\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u7528\u6765\u4ece\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u63d0\u53d6\u7279\u5b9a\u5143\u7d20\u3002<\/p>\n<\/p>\n
# \u63d0\u53d6\u6bcf\u4e00\u884c\u7684\u7b2c\u4e09\u4e2a\u5143\u7d20<\/p>\n
third_elements = [row[2] for row in array]<\/p>\n
print(third_elements)  # \u8f93\u51fa [3, 6, 9]<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u5217\u8868\u89e3\u6790\u9002\u7528\u4e8e\u9700\u8981\u4ece\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u63d0\u53d6\u4e00\u6574\u5217\u6216\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
# \u63d0\u53d6\u5927\u4e8e5\u7684\u5143\u7d20<\/p>\n
greater_than_five = [element for row in array for element in row if element > 5]<\/p>\n
print(greater_than_five)  # \u8f93\u51fa [6, 7, 8, 9]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528NumPy\u5e93<\/h2>\n<\/p>\n
3.1 \u57fa\u672c\u6982\u5ff5<\/h3>\n<\/p>\n
NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u5f3a\u5927\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2aNumPy\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
np_array = np.array([<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
])<\/p>\n
\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20<\/strong><\/h2>\n
element = np_array[1, 2]<\/p>\n
print(element)  # \u8f93\u51fa 6<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2 \u9ad8\u6548\u64cd\u4f5c<\/h3>\n<\/p>\n
NumPy\u63d0\u4f9b\u4e86\u6bd4\u5217\u8868\u66f4\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n
# \u63d0\u53d6\u7b2c\u4e8c\u5217<\/p>\n
second_column = np_array[:, 1]<\/p>\n
print(second_column)  # \u8f93\u51fa [2, 5, 8]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5faa\u73af\u904d\u5386<\/h2>\n<\/p>\n
4.1 \u57fa\u672c\u6982\u5ff5<\/h3>\n<\/p>\n
\u901a\u8fc7\u5faa\u73af\u904d\u5386\u53ef\u4ee5\u9010\u4e2a\u8bbf\u95ee\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u3002\u867d\u7136\u6548\u7387\u4e0d\u5982\u7d22\u5f15\u548cNumPy\uff0c\u4f46\u9002\u7528\u4e8e\u590d\u6742\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
# \u904d\u5386\u4e8c\u7ef4\u6570\u7ec4<\/p>\n
for i, row in enumerate(array):<\/p>\n
    for j, element in enumerate(row):<\/p>\n
        if element == 6:<\/p>\n
            print(f"\u627e\u5230\u5143\u7d206\uff0c\u4f4d\u7f6e\u5728\u7b2c{i+1}\u884c\u7b2c{j+1}\u5217")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2 \u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u5faa\u73af\u904d\u5386\u9002\u7528\u4e8e\u9700\u8981\u5bf9\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u590d\u6742\u7684\u5224\u65ad\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
# \u67e5\u627e\u6240\u6709\u5076\u6570<\/p>\n
for i, row in enumerate(array):<\/p>\n
    for j, element in enumerate(row):<\/p>\n
        if element % 2 == 0:<\/p>\n
            print(f"\u627e\u5230\u5076\u6570{element}\uff0c\u4f4d\u7f6e\u5728\u7b2c{i+1}\u884c\u7b2c{j+1}\u5217")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5176\u4ed6\u65b9\u6cd5<\/h2>\n<\/p>\n
5.1 \u4f7f\u7528Pandas\u5e93<\/h3>\n<\/p>\n
Pandas\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u7684\u6d41\u884c\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2aDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(array)<\/p>\n
\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20<\/strong><\/h2>\n
element = df.iloc[1, 2]<\/p>\n
print(element)  # \u8f93\u51fa 6<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2 \u7ed3\u5408\u5176\u4ed6\u6570\u636e\u7ed3\u6784<\/h3>\n<\/p>\n
\u53ef\u4ee5\u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u5176\u4ed6\u6570\u636e\u7ed3\u6784\uff0c\u5982\u5b57\u5178\u6216\u96c6\u5408\uff0c\u4ee5\u4fbf\u66f4\u7075\u6d3b\u5730\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
# \u5c06\u4e8c\u7ef4\u6570\u7ec4\u8f6c\u6362\u4e3a\u5b57\u5178<\/p>\n
array_dict = {(i, j): element for i, row in enumerate(array) for j, element in enumerate(row)}<\/p>\n
\u8bbf\u95ee\u7b2c\u4e8c\u884c\u7b2c\u4e09\u5217\u7684\u5143\u7d20<\/strong><\/h2>\n
element = array_dict[(1, 2)]<\/p>\n
print(element)  # \u8f93\u51fa 6<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u5728Python\u4e2d\u83b7\u53d6\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u4e00\u4e2a\u6570\u6709\u591a\u79cd\u65b9\u6cd5\u3002\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u8bbf\u95ee\u662f\u6700\u57fa\u672c\u548c\u9ad8\u6548\u7684\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u7b80\u5355\u573a\u666f\u3002\u5217\u8868\u89e3\u6790\u548cNumPy\u5e93\u63d0\u4f9b\u4e86\u66f4\u52a0\u7075\u6d3b\u548c\u9ad8\u6548\u7684\u64cd\u4f5c\u624b\u6bb5\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002\u5faa\u73af\u904d\u5386\u867d\u7136\u6548\u7387\u8f83\u4f4e\uff0c\u4f46\u9002\u7528\u4e8e\u590d\u6742\u7684\u5224\u65ad\u548c\u64cd\u4f5c\u3002\u5176\u4ed6\u65b9\u6cd5\u5982\u4f7f\u7528Pandas\u5e93\u548c\u7ed3\u5408\u5176\u4ed6\u6570\u636e\u7ed3\u6784\uff0c\u4e5f\u4e3a\u4e0d\u540c\u5e94\u7528\u573a\u666f\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
\u4e86\u89e3\u5e76\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4f7f\u6211\u4eec\u5728\u5904\u7406\u4e8c\u7ef4\u6570\u7ec4\u65f6\u66f4\u52a0\u5f97\u5fc3\u5e94\u624b\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u4ee3\u7801\u8d28\u91cf\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u7684\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u8bbf\u95ee\u7279\u5b9a\u5143\u7d20\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u7d22\u5f15\u6765\u8bbf\u95ee\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u7684\u7279\u5b9a\u5143\u7d20\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u540d\u4e3amatrix<\/code>\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528matrix[row][column]<\/code>\u7684\u65b9\u5f0f\u6765\u83b7\u53d6\u7279\u5b9a\u4f4d\u7f6e\u7684\u5143\u7d20\uff0c\u5176\u4e2drow<\/code>\u662f\u884c\u7d22\u5f15\uff0ccolumn<\/code>\u662f\u5217\u7d22\u5f15\u3002\u786e\u4fdd\u7d22\u5f15\u5728\u6570\u7ec4\u7684\u8303\u56f4\u5185\uff0c\u4ee5\u907f\u514d\u7d22\u5f15\u9519\u8bef\u3002<\/p>\n
\u4ec0\u4e48\u662fPython\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5982\u4f55\u521b\u5efa\u5b83\u4eec\uff1f<\/strong>
Python\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\u901a\u5e38\u662f\u901a\u8fc7\u5d4c\u5957\u5217\u8868\u6765\u5b9e\u73b0\u7684\u3002\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6216\u76f4\u63a5\u521b\u5efa\u5d4c\u5957\u5217\u8868\u7684\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]<\/code>\u6765\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e09\u4e2a\u5b50\u5217\u8868\u7684\u4e8c\u7ef4\u6570\u7ec4\u3002\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868\u4e8c\u7ef4\u6570\u7ec4\u7684\u4e00\u884c\u3002<\/p>\n
\u5982\u4f55\u904d\u5386Python\u4e2d\u7684\u4e8c\u7ef4\u6570\u7ec4\uff1f<\/strong>
\u904d\u5386\u4e8c\u7ef4\u6570\u7ec4\u53ef\u4ee5\u4f7f\u7528\u53cc\u91cd\u5faa\u73af\u3002\u5916\u5c42\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5185\u5c42\u5faa\u73af\u904d\u5386\u6bcf\u4e00\u884c\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u3002\u4f8b\u5982\uff0c\u4f7f\u7528for row in matrix:<\/code>\u548cfor element in row:<\/code>\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u8bbf\u95ee\u6bcf\u4e2a\u5143\u7d20\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u64cd\u4f5c\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u5bf9\u6570\u7ec4\u7684\u5904\u7406\u53d8\u5f97\u7b80\u5355\u76f4\u89c2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e8c\u7ef4\u6570\u7ec4\u4e2d\u83b7\u53d6\u4e00\u4e2a\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528\u7d22\u5f15\u3001\u5217\u8868\u89e3\u6790\u3001NumPy\u5e93\u3001\u5faa\u73af\u904d\u5386\u7b49\u65b9\u6cd5\u3002\u6211\u4eec\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5 […]","protected":false},"author":3,"featured_media":1146953,"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\/1146946"}],"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=1146946"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1146946\/revisions"}],"predecessor-version":[{"id":1146956,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1146946\/revisions\/1146956"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1146953"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1146946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1146946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1146946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}