![\"python\u5982\u4f55\u4fee\u6539\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24211811\/73fe446f-e3c0-4659-bdb5-1d440ac11a6e.webp\")
<\/p>\n<\/p>\n
\u5728Python\u4e2d\u4fee\u6539\u53d8\u91cf\u6216\u6570\u636e\u7ed3\u6784\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u8d4b\u503c\u64cd\u4f5c\u3001\u5207\u7247\u64cd\u4f5c\u3001\u4f7f\u7528\u5185\u5efa\u65b9\u6cd5\uff08\u5982list.append()\uff09\u3001\u4f7f\u7528\u5e93\u51fd\u6570\uff08\u5982pandas\u7684replace()\u65b9\u6cd5\uff09<\/strong>\u3002\u5728Python\u4e2d\uff0c\u4fee\u6539\u53d8\u91cf\u6216\u6570\u636e\u7ed3\u6784\u662f\u4e00\u9879\u5e38\u89c1\u7684\u4efb\u52a1\uff0c\u901a\u5e38\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u3001\u5207\u7247\u64cd\u4f5c\u3001\u4f7f\u7528\u5185\u5efa\u65b9\u6cd5\u6216\u5e93\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u9996\u5148\u662f\u901a\u8fc7\u8d4b\u503c\u6765\u4fee\u6539\u53d8\u91cf\u7684\u503c\uff0c\u8fd9\u662f\u6700\u57fa\u672c\u4e5f\u662f\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u5728\u6570\u636e\u7ed3\u6784\u65b9\u9762\uff0c\u6bd4\u5982\u5217\u8868\uff0c\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u548c\u5207\u7247\u6765\u4fee\u6539\u5143\u7d20\u3002\u6b64\u5916\uff0cPython\u7684\u8bb8\u591a\u5185\u5efa\u6570\u636e\u7ed3\u6784\u90fd\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u6cd5\u6765\u4fee\u6539\u5176\u5185\u5bb9\uff0c\u5982\u5217\u8868\u7684 \u4e00\u3001\u8d4b\u503c\u64cd\u4f5c<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u6700\u7b80\u5355\u7684\u4fee\u6539\u65b9\u6cd5\u5c31\u662f\u76f4\u63a5\u8d4b\u503c\u3002\u65e0\u8bba\u662f\u4fee\u6539\u53d8\u91cf\u7684\u503c\u8fd8\u662f\u4fee\u6539\u6570\u636e\u7ed3\u6784\u4e2d\u7684\u67d0\u4e2a\u5143\u7d20\uff0c\u8d4b\u503c\u64cd\u4f5c\u90fd\u662f\u6700\u57fa\u672c\u7684\u624b\u6bb5\u3002<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u53d8\u91cf\u7684\u503c\u53ef\u4ee5\u901a\u8fc7\u8d4b\u503c\u64cd\u4f5c\u6765\u4fee\u6539\u3002\u8fd9\u662f\u6700\u76f4\u63a5\u7684\u4fee\u6539\u65b9\u6cd5\u3002\u6bd4\u5982\uff1a<\/p>\n<\/p>\n x = 20 # \u4fee\u6539\u53d8\u91cfx\u7684\u503c\u4e3a20<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u66f4\u65b0\u53d8\u91cf\u7684\u503c\u3002<\/p>\n<\/p>\n \u5bf9\u4e8e\u5217\u8868\u4e2d\u7684\u5143\u7d20\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u8d4b\u503c\u6765\u4fee\u6539\u67d0\u4e2a\u5143\u7d20\u7684\u503c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n my_list[0] = 10 # \u4fee\u6539\u7b2c\u4e00\u4e2a\u5143\u7d20\u7684\u503c\u4e3a10<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u4efb\u4f55\u53ef\u53d8\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5982\u5217\u8868\u3001\u5b57\u5178\u7b49\u3002<\/p>\n<\/p>\n \u4e8c\u3001\u5207\u7247\u64cd\u4f5c<\/p>\n<\/p>\n \u5207\u7247\u64cd\u4f5c\u5728Python\u4e2d\u662f\u4e00\u79cd\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u5e8f\u5217\u6570\u636e\u7c7b\u578b\uff0c\u5982\u5b57\u7b26\u4e32\u3001\u5217\u8868\u548c\u5143\u7ec4\u3002\u901a\u8fc7\u5207\u7247\uff0c\u6211\u4eec\u53ef\u4ee5\u4e00\u6b21\u6027\u4fee\u6539\u591a\u4e2a\u5143\u7d20\u7684\u503c\u3002<\/p>\n<\/p>\n \u867d\u7136\u5b57\u7b26\u4e32\u662f\u4e0d\u53ef\u53d8\u7684\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5207\u7247\u548c\u8fde\u63a5\u7684\u65b9\u5f0f\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5b57\u7b26\u4e32\uff0c\u4ece\u800c\u5b9e\u73b0\u201c\u4fee\u6539\u201d\u7684\u6548\u679c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n s = s[:6] + "Python" # \u4fee\u6539\u5b57\u7b26\u4e32\uff0c\u7ed3\u679c\u4e3a "Hello Python"<\/p>\n <\/code><\/pre>\n<\/p>\n \u5217\u8868\u662f\u53ef\u53d8\u7684\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7\u5207\u7247\u6765\u4fee\u6539\u5b83\u7684\u90e8\u5206\u5185\u5bb9\uff1a<\/p>\n<\/p>\n my_list[1:3] = [7, 8] # \u4fee\u6539\u5217\u8868\u7684\u7b2c\u4e8c\u548c\u7b2c\u4e09\u4e2a\u5143\u7d20\uff0c\u7ed3\u679c\u4e3a [1, 7, 8, 4, 5]<\/p>\n <\/code><\/pre>\n<\/p>\n \u5207\u7247\u4e0d\u4ec5\u53ef\u4ee5\u7528\u4e8e\u4fee\u6539\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u63d2\u5165\u548c\u5220\u9664\u64cd\u4f5c\u3002<\/p>\n<\/p>\n \u4e09\u3001\u4f7f\u7528\u5185\u5efa\u65b9\u6cd5<\/p>\n<\/p>\n Python\u7684\u5185\u5efa\u6570\u636e\u7ed3\u6784\uff08\u5982\u5217\u8868\u3001\u5b57\u5178\uff09\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u6765\u4fee\u6539\u5176\u5185\u5bb9\u3002\u8fd9\u4e9b\u65b9\u6cd5\u901a\u5e38\u662f\u5bf9\u6570\u636e\u7ed3\u6784\u63d0\u4f9b\u539f\u5730\u64cd\u4f5c\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n \u5217\u8868\u662fPython\u4e2d\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u53ef\u4ee5\u4fee\u6539\u5176\u5185\u5bb9\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n \u4f8b\u5982\uff1a<\/p>\n<\/p>\n my_list.append(4) # \u6dfb\u52a04\u5230\u5217\u8868\u672b\u5c3e<\/p>\n my_list.insert(1, 5) # \u5728\u7b2c\u4e8c\u4e2a\u4f4d\u7f6e\u63d2\u51655<\/p>\n my_list.remove(3) # \u5220\u9664\u503c\u4e3a3\u7684\u5143\u7d20<\/p>\n <\/code><\/pre>\n<\/p>\n \u5b57\u5178\u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5b83\u4e5f\u6709\u81ea\u5df1\u7684\u4fee\u6539\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n \u4f8b\u5982\uff1a<\/p>\n<\/p>\n my_dict.update({'b': 3, 'c': 4}) # \u66f4\u65b0\u5b57\u5178<\/p>\n my_dict.pop('a') # \u79fb\u9664\u952e\u4e3a'a'\u7684\u952e\u503c\u5bf9<\/p>\n <\/code><\/pre>\n<\/p>\n \u56db\u3001\u4f7f\u7528\u5e93\u51fd\u6570<\/p>\n<\/p>\n \u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u6216\u5927\u89c4\u6a21\u7684\u6570\u636e\u5904\u7406\uff0cPython\u7684\u7b2c\u4e09\u65b9\u5e93\uff08\u5982NumPy\u3001pandas\u7b49\uff09\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u4fee\u6539\u65b9\u6cd5\u3002<\/p>\n<\/p>\n NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u7ec4\u548c\u77e9\u9635\u64cd\u4f5c\u51fd\u6570\u3002\u5bf9\u4e8e\u6570\u7ec4\u7684\u4fee\u6539\uff0cNumPy\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n array = np.array([1, 2, 3, 4])<\/p>\n array[1] = 10 # \u4fee\u6539\u6570\u7ec4\u4e2d\u7684\u7b2c\u4e8c\u4e2a\u5143\u7d20<\/p>\n array[array > 2] = 0 # \u5c06\u6570\u7ec4\u4e2d\u5927\u4e8e2\u7684\u5143\u7d20\u5168\u90e8\u4fee\u6539\u4e3a0<\/p>\n <\/code><\/pre>\n<\/p>\n pandas\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u5e93\uff0c\u7279\u522b\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u3002\u5bf9\u4e8eDataFrame\u7684\u4fee\u6539\uff0cpandas\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})<\/p>\n df.loc[0, 'A'] = 10 # \u4fee\u6539DataFrame\u4e2d\u6307\u5b9a\u4f4d\u7f6e\u7684\u503c<\/p>\n df['B'] = df['B'].replace(5, 50) # \u4f7f\u7528replace\u65b9\u6cd5\u66ff\u6362\u5217\u4e2d\u7684\u503c<\/p>\n <\/code><\/pre>\n<\/p>\n \u4e94\u3001\u6df1\u5165\u7406\u89e3Python\u7684\u5bf9\u8c61\u6a21\u578b<\/p>\n<\/p>\n \u5728\u4fee\u6539Python\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u7406\u89e3Python\u7684\u5bf9\u8c61\u6a21\u578b\u975e\u5e38\u91cd\u8981\u3002Python\u4e2d\u7684\u4e00\u5207\u7686\u4e3a\u5bf9\u8c61\uff0c\u8fd9\u610f\u5473\u7740\u53d8\u91cf\u53ea\u662f\u5bf9\u8c61\u7684\u5f15\u7528\u3002<\/p>\n<\/p>\n Python\u4e2d\u7684\u5bf9\u8c61\u5206\u4e3a\u53ef\u53d8\u5bf9\u8c61\u548c\u4e0d\u53ef\u53d8\u5bf9\u8c61\u3002\u53ef\u53d8\u5bf9\u8c61\uff08\u5982\u5217\u8868\u3001\u5b57\u5178\uff09\u5141\u8bb8\u4fee\u6539\u5176\u5185\u5bb9\uff0c\u800c\u4e0d\u53ef\u53d8\u5bf9\u8c61\uff08\u5982\u5b57\u7b26\u4e32\u3001\u5143\u7ec4\uff09\u5219\u4e0d\u5141\u8bb8\u76f4\u63a5\u4fee\u6539\u3002<\/p>\n<\/p>\n \u5728\u4fee\u6539\u53ef\u53d8\u5bf9\u8c61\u65f6\uff0c\u64cd\u4f5c\u901a\u5e38\u662f\u539f\u5730\u8fdb\u884c\u7684\u3002\u8fd9\u610f\u5473\u7740\u4fee\u6539\u4f1a\u76f4\u63a5\u5f71\u54cd\u5bf9\u8c61\u672c\u8eab\uff0c\u800c\u4e0d\u4f1a\u521b\u5efa\u65b0\u7684\u5bf9\u8c61\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n my_list.append(4) # \u539f\u5730\u4fee\u6539\u5217\u8868<\/p>\n <\/code><\/pre>\n<\/p>\n \u5bf9\u4e8e\u4e0d\u53ef\u53d8\u5bf9\u8c61\uff0c\u4efb\u4f55\u201c\u4fee\u6539\u201d\u5b9e\u9645\u4e0a\u90fd\u662f\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5bf9\u8c61\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n s = s.upper() # \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5b57\u7b26\u4e32\u5bf9\u8c61<\/p>\n <\/code><\/pre>\n<\/p>\n \u7531\u4e8ePython\u7684\u53d8\u91cf\u662f\u5bf9\u8c61\u7684\u5f15\u7528\uff0c\u591a\u4e2a\u53d8\u91cf\u53ef\u4ee5\u5f15\u7528\u540c\u4e00\u4e2a\u5bf9\u8c61\u3002\u8fd9\u5728\u4fee\u6539\u5bf9\u8c61\u65f6\u9700\u8981\u7279\u522b\u6ce8\u610f\uff0c\u56e0\u4e3a\u5bf9\u4e00\u4e2a\u5f15\u7528\u7684\u4fee\u6539\u4f1a\u5f71\u54cd\u6240\u6709\u5f15\u7528\u8be5\u5bf9\u8c61\u7684\u53d8\u91cf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n list2 = list1 # list2\u5f15\u7528\u4e86list1<\/p>\n list1.append(4)<\/p>\n print(list2) # \u8f93\u51fa [1, 2, 3, 4]\uff0c\u56e0\u4e3alist2\u548clist1\u5f15\u7528\u540c\u4e00\u4e2a\u5bf9\u8c61<\/p>\n <\/code><\/pre>\n<\/p>\n \u7406\u89e3\u8fd9\u79cd\u5f15\u7528\u673a\u5236\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u907f\u514d\u4e00\u4e9b\u5e38\u89c1\u7684\u9519\u8bef\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u65f6\u3002<\/p>\n<\/p>\n \u516d\u3001\u6027\u80fd\u4f18\u5316\u5efa\u8bae<\/p>\n<\/p>\n \u5728\u4fee\u6539Python\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u6027\u80fd\u5f80\u5f80\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u8003\u8651\u56e0\u7d20\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u5efa\u8bae\uff1a<\/p>\n<\/p>\n \u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u5728\u6267\u884c\u4fee\u6539\u64cd\u4f5c\u65f6\u6027\u80fd\u53ef\u80fd\u5dee\u5f02\u5f88\u5927\u3002\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6548\u7387\u3002\u4f8b\u5982\uff0c\u5217\u8868\u9002\u5408\u9700\u8981\u5feb\u901f\u968f\u673a\u8bbf\u95ee\u7684\u573a\u666f\uff0c\u800c\u5b57\u5178\u9002\u5408\u9700\u8981\u5feb\u901f\u67e5\u627e\u548c\u63d2\u5165\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n \u5728\u4fee\u6539\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u6570\u636e\u590d\u5236\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u5728\u9700\u8981\u5bf9\u5217\u8868\u8fdb\u884c\u5927\u91cf\u4fee\u6539\u65f6\uff0c\u5c3d\u91cf\u4f7f\u7528\u539f\u5730\u4fee\u6539\u65b9\u6cd5\uff08\u5982 \u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u503c\u6570\u636e\u6216\u8868\u683c\u6570\u636e\uff0c\u4f7f\u7528NumPy\u548cpandas\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u4fee\u6539\u64cd\u4f5c\u7684\u6548\u7387\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u5e95\u5c42\u5b9e\u73b0\uff0c\u53ef\u4ee5\u5728\u4e0d\u727a\u7272\u53ef\u8bfb\u6027\u7684\u60c5\u51b5\u4e0b\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n \u4e03\u3001\u5e38\u89c1\u7684\u4fee\u6539\u573a\u666f\u548c\u793a\u4f8b<\/p>\n<\/p>\n \u5728\u5b9e\u9645\u7f16\u7a0b\u4e2d\uff0c\u6211\u4eec\u5e38\u5e38\u4f1a\u9047\u5230\u9700\u8981\u4fee\u6539\u6570\u636e\u7684\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u573a\u666f\u53ca\u5176\u5b9e\u73b0\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n \u5728\u5904\u7406\u5217\u8868\u65f6\uff0c\u4fee\u6539\u5143\u7d20\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u64cd\u4f5c\u3002\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u4fee\u6539\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u5faa\u73af\u904d\u5386\u5217\u8868\u8fdb\u884c\u6279\u91cf\u4fee\u6539\u3002<\/p>\n<\/p>\n my_list = [1, 2, 3, 4]<\/p>\n my_list[2] = 10<\/p>\n for i in range(len(my_list)):<\/p>\n if my_list[i] % 2 == 0:<\/p>\n my_list[i] *= 2<\/p>\n <\/code><\/pre>\n<\/p>\n \u5b57\u5178\u7684\u4fee\u6539\u901a\u5e38\u6d89\u53ca\u66f4\u65b0\u952e\u503c\u5bf9\uff0c\u53ef\u4ee5\u4f7f\u7528 my_dict['a'] = 10 # \u76f4\u63a5\u8d4b\u503c\u4fee\u6539<\/p>\n my_dict.update({'b': 20, 'c': 30}) # \u4f7f\u7528update\u65b9\u6cd5<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u6570\u636e\u5206\u6790\u4e2d\uff0cpandas\u7684DataFrame\u662f\u975e\u5e38\u5e38\u7528\u7684\u6570\u636e\u7ed3\u6784\u3002\u4fee\u6539DataFrame\u4e2d\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7 df.loc[0, 'A'] = 10 # \u4fee\u6539\u6307\u5b9a\u4f4d\u7f6e\u7684\u503c<\/p>\n df['B'] = df['B'].apply(lambda x: x * 2) # \u4f7f\u7528apply\u65b9\u6cd5\u8fdb\u884c\u6279\u91cf\u4fee\u6539<\/p>\n <\/code><\/pre>\n<\/p>\n \u516b\u3001\u6ce8\u610f\u4e8b\u9879\u548c\u6700\u4f73\u5b9e\u8df5<\/p>\n<\/p>\n \u5728\u4fee\u6539Python\u4e2d\u7684\u6570\u636e\u65f6\uff0c\u6709\u4e00\u4e9b\u6ce8\u610f\u4e8b\u9879\u548c\u6700\u4f73\u5b9e\u8df5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7f16\u5199\u66f4\u9ad8\u6548\u3001\u66f4\u53ef\u9760\u7684\u4ee3\u7801\u3002<\/p>\n<\/p>\n \u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u6709\u4e0d\u540c\u7684\u7279\u6027\uff0c\u4e86\u89e3\u8fd9\u4e9b\u7279\u6027\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u9009\u62e9\u4fee\u6539\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u5217\u8868\u662f\u6709\u5e8f\u7684\uff0c\u800c\u5b57\u5178\u662f\u65e0\u5e8f\u7684\uff1b\u5217\u8868\u5141\u8bb8\u91cd\u590d\u5143\u7d20\uff0c\u800c\u96c6\u5408\u4e0d\u5141\u8bb8\u3002<\/p>\n<\/p>\n \u5728\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u73af\u5883\u4e2d\uff0c\u6570\u636e\u7684\u5f15\u7528\u5171\u4eab\u53ef\u80fd\u5bfc\u81f4\u610f\u5916\u7684\u4fee\u6539\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u8003\u8651\u4f7f\u7528\u6df1\u62f7\u8d1d\u6216\u9501\u673a\u5236\u6765\u907f\u514d\u6570\u636e\u7ade\u4e89\u3002<\/p>\n<\/p>\n \u5728\u590d\u6742\u7684\u4fee\u6539\u64cd\u4f5c\u4e2d\uff0c\u4f7f\u7528\u65e5\u5fd7\u548c\u65ad\u70b9\u8c03\u8bd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8ddf\u8e2a\u6570\u636e\u7684\u53d8\u5316\uff0c\u5feb\u901f\u53d1\u73b0\u5e76\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n<\/p>\n \u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\u548c\u6280\u5de7\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u7075\u6d3b\u5730\u4fee\u6539\u5404\u79cd\u6570\u636e\u7ed3\u6784\u548c\u53d8\u91cf\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u52a0\u9ad8\u6548\u548c\u529f\u80fd\u4e30\u5bcc\u7684\u5e94\u7528\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u8d4b\u503c\u64cd\u4f5c\u8fd8\u662f\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0c\u7406\u89e3\u8fd9\u4e9b\u65b9\u6cd5\u7684\u539f\u7406\u548c\u5e94\u7528\u573a\u666f\u90fd\u662f\u81f3\u5173\u91cd\u8981\u7684\u3002<\/p>\n<\/p>\n \u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u4ee3\u7801\u4fee\u6539\uff1f<\/strong> \u5728Python\u4e2d\u5982\u4f55\u8c03\u8bd5\u548c\u4f18\u5316\u4ee3\u7801\uff1f<\/strong> \u5982\u4f55\u7ba1\u7406Python\u9879\u76ee\u4e2d\u7684\u4f9d\u8d56\u548c\u5e93\u7248\u672c\uff1f<\/strong>append()<\/code>\u3001remove()<\/code>\u7b49\u3002\u5bf9\u4e8e\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u6216\u6570\u636e\u6846\u67b6\uff0c\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\uff08\u5982NumPy\u6216pandas\uff09\u7684\u51fd\u6570\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u4fee\u6539\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n\n
x = 10<\/p>\n\n
my_list = [1, 2, 3, 4]<\/p>\n\n
s = "Hello World"<\/p>\n\n
my_list = [1, 2, 3, 4, 5]<\/p>\n\n
\n
append()<\/code>: \u6dfb\u52a0\u5143\u7d20\u5230\u5217\u8868\u672b\u5c3e\u3002<\/li>\ninsert()<\/code>: \u5728\u6307\u5b9a\u4f4d\u7f6e\u63d2\u5165\u5143\u7d20\u3002<\/li>\nremove()<\/code>: \u5220\u9664\u5217\u8868\u4e2d\u7684\u67d0\u4e2a\u5143\u7d20\u3002<\/li>\npop()<\/code>: \u79fb\u9664\u5e76\u8fd4\u56de\u5217\u8868\u4e2d\u7684\u67d0\u4e2a\u5143\u7d20\u3002<\/li>\n<\/ul>\nmy_list = [1, 2, 3]<\/p>\n\n
\n
update()<\/code>: \u66f4\u65b0\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\u3002<\/li>\npop()<\/code>: \u79fb\u9664\u5e76\u8fd4\u56de\u5b57\u5178\u4e2d\u7684\u67d0\u4e2a\u952e\u503c\u5bf9\u3002<\/li>\nclear()<\/code>: \u6e05\u7a7a\u5b57\u5178\u3002<\/li>\n<\/ul>\nmy_dict = {'a': 1, 'b': 2}<\/p>\n\n
import numpy as np<\/p>\n\n
import pandas as pd<\/p>\n\n
my_list = [1, 2, 3]<\/p>\ns = "hello"<\/p>\n\n
list1 = [1, 2, 3]<\/p>\n\n
\n
append()<\/code>\u3001extend()<\/code>\uff09\u800c\u4e0d\u662f\u521b\u5efa\u65b0\u7684\u5217\u8868\u3002<\/p>\n<\/p>\n\n
\n
# \u901a\u8fc7\u7d22\u5f15\u4fee\u6539<\/p>\n\u6279\u91cf\u4fee\u6539<\/strong><\/h2>\n
\n
update()<\/code>\u65b9\u6cd5\u6216\u76f4\u63a5\u901a\u8fc7\u952e\u8fdb\u884c\u8d4b\u503c\u3002<\/p>\n<\/p>\nmy_dict = {'a': 1, 'b': 2}<\/p>\n\n
loc<\/code>\u3001iloc<\/code>\u4ee5\u53caapply<\/code>\u7b49\u65b9\u6cd5\u5b9e\u73b0\u3002<\/p>\n<\/p>\ndf = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})<\/p>\n\n
\n
\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u4ee3\u7801\u4fee\u6539\u901a\u5e38\u6d89\u53ca\u5230\u7f16\u8f91\u73b0\u6709\u7684\u811a\u672c\u6216\u7a0b\u5e8f\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u6587\u672c\u7f16\u8f91\u5668\u6216\u8005\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09\uff0c\u4f8b\u5982VS Code\u3001PyCharm\u6216\u8005Jupyter Notebook\u3002\u6253\u5f00\u4f60\u9700\u8981\u4fee\u6539\u7684\u6587\u4ef6\uff0c\u8fdb\u884c\u76f8\u5e94\u7684\u66f4\u6539\u540e\uff0c\u4fdd\u5b58\u6587\u4ef6\u5373\u53ef\u3002\u786e\u4fdd\u5728\u4fee\u6539\u4e4b\u524d\u5907\u4efd\u539f\u59cb\u6587\u4ef6\uff0c\u4ee5\u9632\u6b62\u610f\u5916\u4e22\u5931\u91cd\u8981\u4ee3\u7801\u3002<\/p>\n
\u8c03\u8bd5\u548c\u4f18\u5316\u4ee3\u7801\u662f\u786e\u4fdd\u7a0b\u5e8f\u8fd0\u884c\u987a\u7545\u7684\u5173\u952e\u6b65\u9aa4\u3002\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684pdb<\/code>\u6a21\u5757\u8fdb\u884c\u8c03\u8bd5\uff0c\u901a\u8fc7\u63d2\u5165\u65ad\u70b9\u6765\u9010\u884c\u6267\u884c\u4ee3\u7801\uff0c\u89c2\u5bdf\u53d8\u91cf\u7684\u53d8\u5316\u3002\u4f18\u5316\u65b9\u9762\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u3001\u5185\u7f6e\u51fd\u6570\u7b49\u65b9\u6cd5\u6765\u63d0\u9ad8\u4ee3\u7801\u6548\u7387\uff0c\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u5faa\u73af\u548c\u5197\u4f59\u8ba1\u7b97\u3002<\/p>\n
\u5728Python\u9879\u76ee\u4e2d\uff0c\u7ba1\u7406\u4f9d\u8d56\u548c\u5e93\u7248\u672c\u975e\u5e38\u91cd\u8981\u3002\u63a8\u8350\u4f7f\u7528requirements.txt<\/code>\u6587\u4ef6\u6765\u5217\u51fa\u9879\u76ee\u6240\u9700\u7684\u6240\u6709\u5e93\u53ca\u5176\u7248\u672c\u3002\u53ef\u4ee5\u901a\u8fc7pip freeze > requirements.txt<\/code>\u547d\u4ee4\u751f\u6210\u8be5\u6587\u4ef6\uff0c\u4e4b\u540e\u4f7f\u7528pip install -r requirements.txt<\/code>\u547d\u4ee4\u6765\u5b89\u88c5\u6240\u6709\u4f9d\u8d56\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u865a\u62df\u73af\u5883\uff08\u5982venv\u6216conda\uff09\u53ef\u4ee5\u6709\u6548\u9694\u79bb\u4e0d\u540c\u9879\u76ee\u7684\u4f9d\u8d56\uff0c\u907f\u514d\u7248\u672c\u51b2\u7a81\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4fee\u6539\u53d8\u91cf\u6216\u6570\u636e\u7ed3\u6784\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u8d4b\u503c\u64cd\u4f5c\u3001\u5207\u7247\u64cd\u4f5c\u3001\u4f7f\u7528\u5185\u5efa\u65b9\u6cd5\uff08\u5982list.append()\uff09 […]","protected":false},"author":3,"featured_media":923972,"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\/923971"}],"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=923971"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/923971\/revisions"}],"predecessor-version":[{"id":923973,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/923971\/revisions\/923973"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/923972"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=923971"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=923971"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=923971"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}