{"id":979431,"date":"2024-12-27T06:46:25","date_gmt":"2024-12-26T22:46:25","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/979431.html"},"modified":"2024-12-27T06:46:27","modified_gmt":"2024-12-26T22:46:27","slug":"python%e6%9c%ac%e8%ba%ab%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e5%8a%a0%e6%b3%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/979431.html","title":{"rendered":"python\u672c\u8eab\u5982\u4f55\u5b9e\u73b0\u52a0\u6cd5"},"content":{"rendered":"

\"python\u672c\u8eab\u5982\u4f55\u5b9e\u73b0\u52a0\u6cd5\"<\/p>\n

Python\u672c\u8eab\u5982\u4f55\u5b9e\u73b0\u52a0\u6cd5\uff1a\u901a\u8fc7\u8fd0\u7b97\u7b26\u91cd\u8f7d\u3001\u8c03\u7528\u5e95\u5c42C\u8bed\u8a00\u51fd\u6570\u3001\u4f7f\u7528\u5185\u7f6e__add__<\/code>\u65b9\u6cd5\u3002<\/strong>Python\u7684\u52a0\u6cd5\u8fd0\u7b97\u4e3b\u8981\u901a\u8fc7\u8fd0\u7b97\u7b26\u91cd\u8f7d\u7684\u65b9\u5f0f\u6765\u5b9e\u73b0\uff0c\u8fd9\u610f\u5473\u7740Python\u5bf9\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\uff08\u5982\u6574\u6570\u3001\u6d6e\u70b9\u6570\u3001\u5b57\u7b26\u4e32\u548c\u5217\u8868\u7b49\uff09\u7684\u52a0\u6cd5\u64cd\u4f5c\u63d0\u4f9b\u4e86\u4e0d\u540c\u7684\u5b9e\u73b0\u65b9\u5f0f\u3002\u5728Python\u5e95\u5c42\uff0c\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u52a0\u6cd5\u8fd0\u7b97\u662f\u901a\u8fc7\u8c03\u7528C\u8bed\u8a00\u5b9e\u73b0\u7684\u51fd\u6570\u6765\u5b8c\u6210\u7684\uff0c\u4ee5\u4fdd\u8bc1\u9ad8\u6548\u7684\u8ba1\u7b97\u6027\u80fd\u3002\u6b64\u5916\uff0cPython\u4e2d\u7684\u6240\u6709\u5bf9\u8c61\u90fd\u53ef\u4ee5\u901a\u8fc7\u5b9e\u73b0\u7279\u6b8a\u65b9\u6cd5__add__<\/code>\u6765\u81ea\u5b9a\u4e49\u52a0\u6cd5\u884c\u4e3a\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u5b9e\u73b0\u673a\u5236\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u8fd0\u7b97\u7b26\u91cd\u8f7d\u4e0e\u52a0\u6cd5\u5b9e\u73b0<\/h3>\n<\/p>\n

Python\u4e2d\u7684\u52a0\u6cd5\u8fd0\u7b97\u7b26+<\/code>\u662f\u4e00\u4e2a\u88ab\u91cd\u8f7d\u7684\u8fd0\u7b97\u7b26\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u5728\u4e0d\u540c\u7684\u4e0a\u4e0b\u6587\u4e2d\u53ef\u4ee5\u5177\u6709\u4e0d\u540c\u7684\u884c\u4e3a\u3002\u4f8b\u5982\uff0c\u5b83\u53ef\u4ee5\u7528\u4e8e\u6570\u503c\u7684\u52a0\u6cd5\u3001\u5b57\u7b26\u4e32\u7684\u8fde\u63a5\u4ee5\u53ca\u5217\u8868\u7684\u5408\u5e76\u3002\u8fd9\u79cd\u7075\u6d3b\u6027\u662f\u901a\u8fc7Python\u7684\u8fd0\u7b97\u7b26\u91cd\u8f7d\u673a\u5236\u5b9e\u73b0\u7684\u3002<\/p>\n<\/p>\n

1. \u6570\u503c\u52a0\u6cd5<\/h4>\n<\/p>\n

\u5bf9\u4e8e\u6574\u6570\u548c\u6d6e\u70b9\u6570\uff0cPython\u7684\u52a0\u6cd5\u64cd\u4f5c\u662f\u901a\u8fc7\u5e95\u5c42C\u51fd\u6570\u5feb\u901f\u5b9e\u73b0\u7684\u3002\u5f53\u4e24\u4e2a\u6570\u503c\u7c7b\u578b\u7684\u5bf9\u8c61\u76f8\u52a0\u65f6\uff0cPython\u4f1a\u8c03\u7528\u4e00\u4e2a\u5feb\u901f\u7684C\u51fd\u6570\u6765\u5b8c\u6210\u64cd\u4f5c\u3002Python\u4e2d\u6574\u6570\u7684\u5b9e\u73b0\u4f7f\u7528\u4e86\u4efb\u610f\u7cbe\u5ea6\u7684\u957f\u6574\u6570\u7c7b\u578b\uff0c\u8fd9\u610f\u5473\u7740\u6574\u6570\u7684\u52a0\u6cd5\u4e0d\u4f1a\u56e0\u4e3a\u8d85\u51fa\u8303\u56f4\u800c\u6ea2\u51fa\u3002<\/p>\n<\/p>\n

2. \u5b57\u7b26\u4e32\u8fde\u63a5<\/h4>\n<\/p>\n

\u5bf9\u4e8e\u5b57\u7b26\u4e32\uff0c+<\/code>\u8fd0\u7b97\u7b26\u7528\u4e8e\u8fde\u63a5\u4e24\u4e2a\u5b57\u7b26\u4e32\u3002\u8fd9\u662f\u901a\u8fc7\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5b57\u7b26\u4e32\u5bf9\u8c61\u6765\u5b9e\u73b0\u7684\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u88ab\u8fde\u63a5\u7684\u4e24\u4e2a\u5b57\u7b26\u4e32\u7684\u5185\u5bb9\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u9891\u7e41\u5730\u4f7f\u7528+<\/code>\u8fdb\u884c\u5b57\u7b26\u4e32\u8fde\u63a5\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6027\u80fd\u95ee\u9898\uff0c\u56e0\u4e3a\u6bcf\u6b21\u8fde\u63a5\u90fd\u4f1a\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5b57\u7b26\u4e32\u5bf9\u8c61\u3002<\/p>\n<\/p>\n

3. \u5217\u8868\u5408\u5e76<\/h4>\n<\/p>\n

\u5728\u5217\u8868\u4e2d\uff0c+<\/code>\u8fd0\u7b97\u7b26\u7528\u4e8e\u5408\u5e76\u4e24\u4e2a\u5217\u8868\u3002\u7c7b\u4f3c\u4e8e\u5b57\u7b26\u4e32\u8fde\u63a5\uff0c\u8fd9\u79cd\u64cd\u4f5c\u4f1a\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u5bf9\u8c61\uff0c\u5305\u542b\u4e86\u4e24\u4e2a\u5217\u8868\u4e2d\u6240\u6709\u5143\u7d20\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5e95\u5c42C\u8bed\u8a00\u51fd\u6570\u7684\u8c03\u7528<\/h3>\n<\/p>\n

Python\u7684\u89e3\u91ca\u5668CPython\u662f\u7528C\u8bed\u8a00\u7f16\u5199\u7684\uff0c\u56e0\u6b64\u5728\u6267\u884c\u52a0\u6cd5\u64cd\u4f5c\u65f6\uff0cPython\u4f1a\u8c03\u7528\u5e95\u5c42\u7684C\u51fd\u6570\u6765\u6267\u884c\u5b9e\u9645\u7684\u8ba1\u7b97\u3002\u8fd9\u4e9b\u51fd\u6570\u5728Python\u7684\u6838\u5fc3\u5e93\u4e2d\u88ab\u5b9e\u73b0\uff0c\u5e76\u7ecf\u8fc7\u9ad8\u5ea6\u4f18\u5316\u4ee5\u63d0\u4f9b\u9ad8\u6548\u7684\u8ba1\u7b97\u6027\u80fd\u3002<\/p>\n<\/p>\n

1. CPython\u7684\u5b9e\u73b0<\/h4>\n<\/p>\n

CPython\u4e2d\uff0c\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u52a0\u6cd5\u64cd\u4f5c\u662f\u901a\u8fc7\u8c03\u7528\u76f8\u5e94\u7684C\u8bed\u8a00\u51fd\u6570\u6765\u6267\u884c\u7684\uff0c\u8fd9\u4e9b\u51fd\u6570\u76f4\u63a5\u5904\u7406\u5e95\u5c42\u7684\u4e8c\u8fdb\u5236\u6570\u636e\u4ee5\u5b9e\u73b0\u5feb\u901f\u8ba1\u7b97\u3002\u8fd9\u79cd\u65b9\u6cd5\u786e\u4fdd\u4e86Python\u5728\u5904\u7406\u6570\u503c\u8ba1\u7b97\u65f6\u7684\u6027\u80fd\u63a5\u8fd1\u4e8eC\u8bed\u8a00\u3002<\/p>\n<\/p>\n

2. \u6574\u6570\u52a0\u6cd5\u7684\u5b9e\u73b0<\/h4>\n<\/p>\n

\u5728CPython\u4e2d\uff0c\u6574\u6570\u7684\u52a0\u6cd5\u64cd\u4f5c\u4f1a\u8c03\u7528PyNumber_Add<\/code>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u4f1a\u68c0\u67e5\u64cd\u4f5c\u6570\u7684\u7c7b\u578b\uff0c\u5e76\u8c03\u7528\u9002\u5f53\u7684\u5185\u90e8\u51fd\u6570\u6765\u5b8c\u6210\u8ba1\u7b97\u3002\u5bf9\u4e8e\u5c0f\u6574\u6570\uff0cPython\u4f1a\u4f7f\u7528\u4e00\u4e2a\u79f0\u4e3a\u5c0f\u6574\u6570\u5bf9\u8c61\u6c60\u7684\u4f18\u5316\u6280\u672f\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u5206\u914d\u7684\u5f00\u9500\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u4f7f\u7528\u5185\u7f6e__add__<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n

Python\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u5bf9\u8c61\u7684\u52a0\u6cd5\u884c\u4e3a\uff0c\u901a\u8fc7\u5b9e\u73b0__add__<\/code>\u7279\u6b8a\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd0\u7b97\u7b26\u91cd\u8f7d\u3002\u8fd9\u79cd\u673a\u5236\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u7075\u6d3b\u6027\uff0c\u5141\u8bb8\u5728\u7528\u6237\u5b9a\u4e49\u7684\u7c7b\u4e2d\u5b9e\u73b0\u81ea\u5b9a\u4e49\u7684\u52a0\u6cd5\u903b\u8f91\u3002<\/p>\n<\/p>\n

1. \u81ea\u5b9a\u4e49\u7c7b\u4e2d\u7684__add__<\/code><\/h4>\n<\/p>\n

\u5f53\u7528\u6237\u5b9a\u4e49\u4e00\u4e2a\u7c7b\uff0c\u5e76\u5e0c\u671b\u8be5\u7c7b\u7684\u5b9e\u4f8b\u53ef\u4ee5\u4f7f\u7528+<\/code>\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u65f6\uff0c\u53ef\u4ee5\u5728\u7c7b\u4e2d\u5b9a\u4e49__add__<\/code>\u65b9\u6cd5\u3002\u8fd9\u4e2a\u65b9\u6cd5\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff0c\u4e00\u4e2a\u662fself<\/code>\uff0c\u53e6\u4e00\u4e2a\u662f\u8981\u76f8\u52a0\u7684\u5bf9\u8c61\u3002\u901a\u8fc7\u5728__add__<\/code>\u65b9\u6cd5\u4e2d\u5b9a\u4e49\u52a0\u6cd5\u903b\u8f91\uff0c\u53ef\u4ee5\u63a7\u5236\u5bf9\u8c61\u5982\u4f55\u4e0e\u5176\u4ed6\u5bf9\u8c61\u76f8\u52a0\u3002<\/p>\n<\/p>\n

class Vector:<\/p>\n
    def __init__(self, x, y):<\/p>\n
        self.x = x<\/p>\n
        self.y = y<\/p>\n
    def __add__(self, other):<\/p>\n
        return Vector(self.x + other.x, self.y + other.y)<\/p>\n
v1 = Vector(2, 3)<\/p>\n
v2 = Vector(4, 5)<\/p>\n
v3 = v1 + v2<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u5176\u4ed6\u7279\u6b8a\u65b9\u6cd5<\/h4>\n<\/p>\n
\u9664\u4e86__add__<\/code>\u4e4b\u5916\uff0cPython\u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u7279\u6b8a\u65b9\u6cd5\u7528\u4e8e\u5b9e\u73b0\u8fd0\u7b97\u7b26\u91cd\u8f7d\uff0c\u5982__sub__<\/code>\u7528\u4e8e\u51cf\u6cd5\uff0c__mul__<\/code>\u7528\u4e8e\u4e58\u6cd5\u7b49\u3002\u8fd9\u4e9b\u65b9\u6cd5\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u81ea\u5b9a\u4e49\u5bf9\u8c61\u884c\u4e3a\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n
\u56db\u3001Python\u52a0\u6cd5\u7684\u6027\u80fd\u8003\u8651<\/h3>\n<\/p>\n
\u867d\u7136Python\u63d0\u4f9b\u4e86\u591a\u79cd\u673a\u5236\u6765\u5b9e\u73b0\u52a0\u6cd5\u64cd\u4f5c\uff0c\u4f46\u5728\u4f7f\u7528\u8fd9\u4e9b\u673a\u5236\u65f6\u4ecd\u9700\u6ce8\u610f\u6027\u80fd\u95ee\u9898\u3002\u7279\u522b\u662f\u5728\u9700\u8981\u8fdb\u884c\u5927\u91cf\u8ba1\u7b97\u6216\u9891\u7e41\u7684\u52a0\u6cd5\u64cd\u4f5c\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u548c\u7b97\u6cd5\u5bf9\u4e8e\u6027\u80fd\u4f18\u5316\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528join<\/code>\u4f18\u5316\u5b57\u7b26\u4e32\u8fde\u63a5<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u5927\u91cf\u7684\u5b57\u7b26\u4e32\u8fde\u63a5\u64cd\u4f5c\uff0c\u5efa\u8bae\u4f7f\u7528join<\/code>\u65b9\u6cd5\u800c\u975e+<\/code>\u8fd0\u7b97\u7b26\uff0c\u56e0\u4e3ajoin<\/code>\u65b9\u6cd5\u5728\u5904\u7406\u591a\u4e2a\u5b57\u7b26\u4e32\u8fde\u63a5\u65f6\u6bd4+<\/code>\u8fd0\u7b97\u7b26\u66f4\u9ad8\u6548\u3002<\/p>\n<\/p>\n
str_list = ["Hello", "World", "Python"]<\/p>\n
result = "".join(str_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u4f7f\u7528NumPy\u8fdb\u884c\u6570\u503c\u8ba1\u7b97<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u8fdb\u884c\u5927\u91cf\u6570\u503c\u8ba1\u7b97\u7684\u573a\u5408\uff0c\u5efa\u8bae\u4f7f\u7528NumPy\u5e93\u3002NumPy\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u529f\u80fd\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6570\u503c\u8ba1\u7b97\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
a = np.array([1, 2, 3])<\/p>\n
b = np.array([4, 5, 6])<\/p>\n
c = a + b<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001Python\u52a0\u6cd5\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
Python\u7684\u52a0\u6cd5\u64cd\u4f5c\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u5177\u6709\u5e7f\u6cdb\u7684\u7528\u9014\uff0c\u4ece\u7b80\u5355\u7684\u7b97\u672f\u8fd0\u7b97\u5230\u590d\u6742\u7684\u6570\u636e\u5904\u7406\uff0cPython\u7684\u52a0\u6cd5\u673a\u5236\u90fd\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u3002<\/p>\n<\/p>\n
1. \u6570\u636e\u5206\u6790\u4e0e\u5904\u7406<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0cPython\u7684\u52a0\u6cd5\u64cd\u4f5c\u5e38\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u6570\u636e\u805a\u5408\u3002Pandas\u5e93\u7684DataFrame<\/code>\u548cSeries<\/code>\u5bf9\u8c61\u652f\u6301\u52a0\u6cd5\u8fd0\u7b97\uff0c\u53ef\u4ee5\u7528\u4e8e\u5feb\u901f\u8ba1\u7b97\u5217\u6216\u884c\u7684\u603b\u548c\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {'A': [1, 2, 3], 'B': [4, 5, 6]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df['C'] = df['A'] + df['B']<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6e38\u620f\u5f00\u53d1\u4e2d\u7684\u77e2\u91cf\u8fd0\u7b97<\/h4>\n<\/p>\n
\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\uff0c\u77e2\u91cf\u8fd0\u7b97\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u9700\u6c42\u3002\u901a\u8fc7\u5b9a\u4e49\u81ea\u5b9a\u4e49\u7684Vector<\/code>\u7c7b\u5e76\u5b9e\u73b0__add__<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u77e2\u91cf\u7684\u52a0\u6cd5\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
\u516d\u3001Python\u52a0\u6cd5\u7684\u6269\u5c55\u4e0e\u672a\u6765\u53d1\u5c55<\/h3>\n<\/p>\n
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2. Python\u8bed\u8a00\u7684\u53d1\u5c55<\/h4>\n<\/p>\n
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