![\"python\u5982\u4f55\u5c06\u63a7\u5236\u53f0\u505a\u597d\u770b\u4e00\u70b9\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24180934\/bf8763c0-e179-45b7-aa86-3ecb8fa87c36.webp\")
<\/p>\n<\/p>\n
\u4f7f\u7528Python\u8ba9\u63a7\u5236\u53f0\u8f93\u51fa\u66f4\u7f8e\u89c2\u7684\u51e0\u79cd\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u989c\u8272\u3001\u6dfb\u52a0\u683c\u5f0f\u5316\u8f93\u51fa\u3001\u4f7f\u7528\u56fe\u8868\u548c\u8fdb\u5ea6\u6761\u5e93\u3001\u5229\u7528ASCII\u827a\u672f\u7b49\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528\u989c\u8272\u662f\u6700\u4e3a\u5e38\u89c1\u548c\u6709\u6548\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u901a\u8fc7\u4e0d\u540c\u989c\u8272\u533a\u5206\u5173\u952e\u4fe1\u606f\uff0c\u4f7f\u8f93\u51fa\u66f4\u6e05\u6670\u3001\u76f4\u89c2\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5b9e\u73b0\u3002<\/p>\n<\/p>\n \u4f7f\u7528\u989c\u8272\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u63a7\u5236\u53f0\u8f93\u51fa\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u5ea6\u3002Python\u4e2d\u5e38\u7528\u7684\u5e93\u6709 <\/code><\/pre>\n<\/p>\n init()<\/p>\n print(Fore.RED + '\u8fd9\u662f\u7ea2\u8272\u7684\u6587\u5b57')<\/p>\n print(Back.GREEN + '\u8fd9\u662f\u7eff\u8272\u80cc\u666f\u7684\u6587\u5b57')<\/p>\n print(Style.RESET_ALL)<\/p>\n print('\u8fd9\u662f\u9ed8\u8ba4\u6837\u5f0f\u7684\u6587\u5b57')<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4ee3\u7801\u4e2d\uff0c <\/code><\/pre>\n<\/p>\n print(colored('\u8fd9\u662f\u7ea2\u8272\u7684\u6587\u5b57', 'red'))<\/p>\n print(colored('\u8fd9\u662f\u7eff\u8272\u80cc\u666f\u7684\u6587\u5b57', 'white', 'on_green'))<\/p>\n <\/code><\/pre>\n<\/p>\n \u683c\u5f0f\u5316\u8f93\u51fa\u53ef\u4ee5\u4f7f\u6587\u672c\u5bf9\u9f50\u3001\u8868\u683c\u7ed8\u5236\u7b49\uff0c\u4f7f\u8f93\u51fa\u5185\u5bb9\u66f4\u6574\u9f50\u3001\u7f8e\u89c2\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Python\u7684 age = 30<\/p>\n output = "\u59d3\u540d: {}, \u5e74\u9f84: {}".format(name, age)<\/p>\n print(output)<\/p>\n <\/code><\/pre>\n<\/p>\n age = 30<\/p>\n output = f"\u59d3\u540d: {name}, \u5e74\u9f84: {age}"<\/p>\n print(output)<\/p>\n <\/code><\/pre>\n<\/p>\n \u53ef\u89c6\u5316\u6570\u636e\u548c\u8fdb\u5ea6\u6761\u80fd\u591f\u663e\u8457\u63d0\u5347\u63a7\u5236\u53f0\u8f93\u51fa\u7684\u76f4\u89c2\u6027\u548c\u7f8e\u89c2\u5ea6\u3002\u5e38\u7528\u7684\u5e93\u6709 <\/code><\/pre>\n<\/p>\n labels = ['A', 'B', 'C', 'D']<\/p>\n sizes = [15, 30, 45, 10]<\/p>\n plt.pie(sizes, labels=labels)<\/p>\n plt.axis('equal')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7 <\/code><\/pre>\n<\/p>\n import time<\/p>\n for i in tqdm(range(100)):<\/p>\n time.sleep(0.1)<\/p>\n <\/code><\/pre>\n<\/p>\n ASCII\u827a\u672f\u662f\u4e00\u79cd\u4f7f\u7528ASCII\u5b57\u7b26\u7ed8\u5236\u56fe\u5f62\u7684\u827a\u672f\u5f62\u5f0f\uff0c\u53ef\u4ee5\u7528\u6765\u751f\u6210\u5404\u79cd\u6709\u8da3\u7684\u56fe\u6848\u548c\u6587\u5b57\uff0c\u4f7f\u63a7\u5236\u53f0\u8f93\u51fa\u66f4\u52a0\u751f\u52a8\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n ascii_art = text2art("Hello")<\/p>\n print(ascii_art)<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u4f7f\u7528\u989c\u8272\u3001\u6dfb\u52a0\u683c\u5f0f\u5316\u8f93\u51fa\u3001\u5229\u7528\u56fe\u8868\u548c\u8fdb\u5ea6\u6761\u5e93\u3001\u4ee5\u53caASCII\u827a\u672f\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u5347Python\u63a7\u5236\u53f0\u8f93\u51fa\u7684\u7f8e\u89c2\u5ea6\u548c\u53ef\u8bfb\u6027\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\uff1a<\/p>\n<\/p>\n \u8fd9\u4e9b\u65b9\u6cd5\u4e0d\u4ec5\u80fd\u591f\u63d0\u5347\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\uff0c\u8fd8\u80fd\u663e\u8457\u6539\u5584\u7528\u6237\u7684\u4f7f\u7528\u4f53\u9a8c\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u5728Python\u7f16\u7a0b\u4e2d\u5b9e\u73b0\u66f4\u7f8e\u89c2\u7684\u63a7\u5236\u53f0\u8f93\u51fa\u3002<\/p>\n<\/p>\n \u5982\u4f55\u5728Python\u63a7\u5236\u53f0\u4e2d\u6dfb\u52a0\u989c\u8272\u548c\u683c\u5f0f\u5316\u4ee5\u63d0\u5347\u89c6\u89c9\u6548\u679c\uff1f<\/strong> \u5728Python\u63a7\u5236\u53f0\u4e2d\u5982\u4f55\u4f7f\u7528\u56fe\u5f62\u754c\u9762\u66ff\u4ee3\u4f20\u7edf\u6587\u672c\u8f93\u51fa\uff1f<\/strong> \u6709\u6ca1\u6709\u7b80\u5355\u7684\u65b9\u6cd5\u5728Python\u63a7\u5236\u53f0\u4e2d\u5b9e\u73b0\u52a8\u6001\u6548\u679c\uff1f<\/strong>
\n\u4e00\u3001\u4f7f\u7528\u989c\u8272<\/strong><\/h2>\n
colorama<\/code>\u548ctermcolor<\/code>\u3002<\/p>\n<\/p>\n1.1\u3001Colorama\u5e93<\/h2>\n<\/p>\n
colorama<\/code>\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684Python\u5e93\uff0c\u5141\u8bb8\u4f60\u5728Windows\u548c\u5176\u4ed6\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u4e3a\u63a7\u5236\u53f0\u8f93\u51fa\u6dfb\u52a0\u989c\u8272\u3002\u4f7f\u7528colorama<\/code>\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u5b89\u88c5\u5e93\u5e76\u8fdb\u884c\u7b80\u5355\u8bbe\u7f6e\u5373\u53ef\u3002<\/p>\n<\/p>\n\u5b89\u88c5Colorama<\/h3>\n<\/p>\n
pip install colorama<\/p>\n\u4f7f\u7528Colorama<\/h3>\n<\/p>\n
from colorama import init, Fore, Back, Style<\/p>\n\u521d\u59cb\u5316Colorama<\/strong><\/h2>\n
\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
Fore<\/code>\u3001Back<\/code>\u548cStyle<\/code>\u5206\u522b\u7528\u4e8e\u8bbe\u7f6e\u524d\u666f\u8272\u3001\u80cc\u666f\u8272\u548c\u6587\u5b57\u6837\u5f0f\u3002\u901a\u8fc7\u8c03\u7528init()<\/code>\u65b9\u6cd5\uff0ccolorama<\/code>\u4f1a\u81ea\u52a8\u5904\u7406\u5404\u79cd\u64cd\u4f5c\u7cfb\u7edf\u7684\u517c\u5bb9\u95ee\u9898\uff0c\u4f7f\u989c\u8272\u663e\u793a\u66f4\u52a0\u4e00\u81f4\u3002<\/p>\n<\/p>\n1.2\u3001Termcolor\u5e93<\/h2>\n<\/p>\n
termcolor<\/code>\u4e5f\u662f\u4e00\u4e2a\u5e38\u7528\u7684\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u5728\u63a7\u5236\u53f0\u4e2d\u8f93\u51fa\u5e26\u989c\u8272\u7684\u6587\u5b57\u3002\u5b83\u7684\u4f7f\u7528\u65b9\u6cd5\u4e0ecolorama<\/code>\u7c7b\u4f3c\uff0c\u4f46\u66f4\u4e3a\u7b80\u6d01\u3002<\/p>\n<\/p>\n\u5b89\u88c5Termcolor<\/h3>\n<\/p>\n
pip install termcolor<\/p>\n\u4f7f\u7528Termcolor<\/h3>\n<\/p>\n
from termcolor import colored<\/p>\n\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
termcolor<\/code>\u63d0\u4f9b\u4e86colored<\/code>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u63a5\u53d7\u4e09\u4e2a\u53c2\u6570\uff1a\u6587\u5b57\u5185\u5bb9\u3001\u524d\u666f\u8272\u548c\u80cc\u666f\u8272\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5bf9\u63a7\u5236\u53f0\u8f93\u51fa\u8fdb\u884c\u989c\u8272\u8bbe\u7f6e\u3002<\/p>\n<\/p>\n\u4e8c\u3001\u6dfb\u52a0\u683c\u5f0f\u5316\u8f93\u51fa<\/strong><\/h2>\n
format<\/code>\u65b9\u6cd5\u548cf-string<\/code>\u8fdb\u884c\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3002<\/p>\n<\/p>\n2.1\u3001Format\u65b9\u6cd5<\/h2>\n<\/p>\n
format<\/code>\u65b9\u6cd5\u662fPython\u5185\u7f6e\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u65b9\u6cd5\uff0c\u4f7f\u7528\u7075\u6d3b\uff0c\u529f\u80fd\u5f3a\u5927\u3002<\/p>\n<\/p>\nname = "Alice"<\/p>\n2.2\u3001F-string<\/h2>\n<\/p>\n
f-string<\/code>\u662fPython 3.6\u5f15\u5165\u7684\u65b0\u7279\u6027\uff0c\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7b80\u6d01\u548c\u9ad8\u6548\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u65b9\u5f0f\u3002<\/p>\n<\/p>\nname = "Alice"<\/p>\n\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
f-string<\/code>\u5728\u5927\u62ec\u53f7\u5185\u76f4\u63a5\u5d4c\u5165\u53d8\u91cf\u6216\u8868\u8fbe\u5f0f\uff0c\u7b80\u5316\u4e86\u5b57\u7b26\u4e32\u62fc\u63a5\u7684\u64cd\u4f5c\uff0c\u540c\u65f6\u63d0\u9ad8\u4e86\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6267\u884c\u6548\u7387\u3002<\/p>\n<\/p>\n\u4e09\u3001\u4f7f\u7528\u56fe\u8868\u548c\u8fdb\u5ea6\u6761\u5e93<\/strong><\/h2>\n
matplotlib<\/code>\u548ctqdm<\/code>\u3002<\/p>\n<\/p>\n3.1\u3001Matplotlib\u5e93<\/h2>\n<\/p>\n
matplotlib<\/code>\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff0c\u5e76\u5728\u63a7\u5236\u53f0\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n\u5b89\u88c5Matplotlib<\/h3>\n<\/p>\n
pip install matplotlib<\/p>\n\u4f7f\u7528Matplotlib<\/h3>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n\u51c6\u5907\u6570\u636e<\/strong><\/h2>\n
\u7ed8\u5236\u997c\u56fe<\/strong><\/h2>\n
\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
matplotlib<\/code>\uff0c\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u751f\u6210\u997c\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6298\u7ebf\u56fe\u7b49\u591a\u79cd\u56fe\u8868\uff0c\u5e76\u5728\u63a7\u5236\u53f0\u4e2d\u663e\u793a\u3002\u8fd9\u6837\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u6570\u636e\u7684\u53ef\u8bfb\u6027\uff0c\u8fd8\u4f7f\u8f93\u51fa\u5185\u5bb9\u66f4\u52a0\u7f8e\u89c2\u3002<\/p>\n<\/p>\n3.2\u3001Tqdm\u5e93<\/h2>\n<\/p>\n
tqdm<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u663e\u793a\u8fdb\u5ea6\u6761\u7684Python\u5e93\uff0c\u53ef\u4ee5\u5728\u63a7\u5236\u53f0\u4e2d\u663e\u793a\u4efb\u52a1\u7684\u8fdb\u5ea6\u3002<\/p>\n<\/p>\n\u5b89\u88c5Tqdm<\/h3>\n<\/p>\n
pip install tqdm<\/p>\n\u4f7f\u7528Tqdm<\/h3>\n<\/p>\n
from tqdm import tqdm<\/p>\n\u6a21\u62df\u4e00\u4e2a\u4efb\u52a1<\/strong><\/h2>\n
\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
tqdm<\/code>\u901a\u8fc7\u5728\u5faa\u73af\u4e2d\u5d4c\u5165tqdm<\/code>\u5bf9\u8c61\uff0c\u80fd\u591f\u5b9e\u65f6\u663e\u793a\u4efb\u52a1\u7684\u8fdb\u5ea6\uff0c\u4f7f\u7528\u6237\u80fd\u591f\u76f4\u89c2\u5730\u4e86\u89e3\u4efb\u52a1\u7684\u6267\u884c\u60c5\u51b5\uff0c\u4ece\u800c\u63d0\u5347\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/p>\n\u56db\u3001\u5229\u7528ASCII\u827a\u672f<\/strong><\/h2>\n
4.1\u3001Art\u5e93<\/h2>\n<\/p>\n
art<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u751f\u6210ASCII\u827a\u672f\u7684Python\u5e93\uff0c\u652f\u6301\u591a\u79cd\u5b57\u4f53\u548c\u56fe\u6848\u3002<\/p>\n<\/p>\n\u5b89\u88c5Art<\/h3>\n<\/p>\n
pip install art<\/p>\n\u4f7f\u7528Art<\/h3>\n<\/p>\n
from art import text2art<\/p>\n\u751f\u6210ASCII\u827a\u672f\u6587\u5b57<\/strong><\/h2>\n
\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
art<\/code>\u5e93\u63d0\u4f9b\u4e86text2art<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u666e\u901a\u6587\u5b57\u8f6c\u6362\u4e3aASCII\u827a\u672f\u6587\u5b57\u3002\u901a\u8fc7\u9009\u62e9\u4e0d\u540c\u7684\u5b57\u4f53\u548c\u6837\u5f0f\uff0c\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u98ce\u683c\u7684\u827a\u672f\u6587\u5b57\uff0c\u4f7f\u63a7\u5236\u53f0\u8f93\u51fa\u66f4\u52a0\u6709\u8da3\u548c\u5438\u5f15\u4eba\u3002<\/p>\n<\/p>\n\u4e94\u3001\u603b\u7ed3<\/strong><\/h2>\n
\n
colorama<\/code>\u548ctermcolor<\/code>\u5e93\u4e3a\u63a7\u5236\u53f0\u8f93\u51fa\u6dfb\u52a0\u989c\u8272\uff0c\u4f7f\u4fe1\u606f\u66f4\u4e3a\u76f4\u89c2\u3002<\/li>\nformat<\/code>\u65b9\u6cd5\u548cf-string<\/code>\u8fdb\u884c\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\uff0c\u4f7f\u8f93\u51fa\u5185\u5bb9\u66f4\u6574\u9f50\u3002<\/li>\nmatplotlib<\/code>\u751f\u6210\u56fe\u8868\uff0c\u4f7f\u7528tqdm<\/code>\u663e\u793a\u8fdb\u5ea6\u6761\uff0c\u63d0\u9ad8\u6570\u636e\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/li>\nart<\/code>\u5e93\u751f\u6210ASCII\u827a\u672f\u6587\u5b57\uff0c\u4f7f\u8f93\u51fa\u5185\u5bb9\u66f4\u751f\u52a8\u6709\u8da3\u3002<\/li>\n<\/ol>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u5e93\u5982colorama<\/code>\u6216termcolor<\/code>\u6765\u4e3a\u63a7\u5236\u53f0\u8f93\u51fa\u6dfb\u52a0\u989c\u8272\u548c\u6837\u5f0f\u3002\u8fd9\u4e9b\u5e93\u5141\u8bb8\u60a8\u8bbe\u7f6e\u6587\u5b57\u7684\u524d\u666f\u548c\u80cc\u666f\u8272\uff0c\u751a\u81f3\u53ef\u4ee5\u6dfb\u52a0\u7c97\u4f53\u6216\u4e0b\u5212\u7ebf\u7b49\u6837\u5f0f\u3002\u5b89\u88c5\u8fd9\u4e9b\u5e93\u540e\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u51fd\u6570\u8c03\u7528\u6765\u7f8e\u5316\u60a8\u7684\u8f93\u51fa\u3002\u4f8b\u5982\uff0c\u4f7f\u7528colorama<\/code>\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u5f69\u8272\u6587\u672c\u8f93\u51fa\u3002<\/p>\n
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