{"id":98920,"date":"2026-09-01T16:49:09","date_gmt":"2026-09-01T08:49:09","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/98920.html"},"modified":"2026-09-01T16:49:09","modified_gmt":"2026-09-01T08:49:09","slug":"%e5%ae%8f%e8%a7%82%e6%95%b0%e6%8d%ae%e5%8f%91%e5%b8%83%e5%90%8e%ef%bc%8c%e8%b4%a2%e7%bb%8f%e8%87%aa%e5%aa%92%e4%bd%93%e6%80%8e%e4%b9%88%e7%94%a8%e5%bc%80%e6%ba%90%e5%b7%a5%e5%85%b7%e9%93%be%e5%bd%93","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/98920.html","title":{"rendered":"\u5b8f\u89c2\u6570\u636e\u53d1\u5e03\u540e\uff0c\u8d22\u7ecf\u81ea\u5a92\u4f53\u600e\u4e48\u7528\u5f00\u6e90\u5de5\u5177\u94fe\u5f53\u5929\u505a\u51fa\u5e26\u540c\u6bd4\u73af\u6bd4\u8d70\u52bf\u56fe\u7684\u5408\u89c4\u89e3\u8bfb\u89c6\u9891"},"content":{"rendered":"

\u6bcf\u4e2a\u6708\u521d\u548c\u6708\u4e2d，\u8d22\u7ecf\u81ea\u5a92\u4f53\u548c\u5b8f\u89c2\u7814\u7a76\u5458\u90fd\u4f1a\u7ecf\u5386\u540c\u4e00\u573a\u75b2\u52b3\u6218：\u7edf\u8ba1\u5c40\u6216\u592e\u884c\u53d1\u5e03 CPI\u3001PPI\u3001PMI\u3001\u793e\u878d\u3001M1\/M2 \u6570\u636e，\u6570\u636e\u51fa\u6765\u4e4b\u540e\u534a\u5c0f\u65f6\u5185，\u56fe\u6587\u89e3\u8bfb\u94fa\u6ee1\u8d44\u8baf\u7aef；\u516d\u5c0f\u65f6\u5185，\u6210\u89c4\u6a21\u7684\u89e3\u8bfb\u89c6\u9891\u5f00\u59cb\u62a2\u641c\u7d22\u6d41\u91cf\u3002\u8c01\u5148\u628a\u300c\u540c\u6bd4\u73af\u6bd4\u591a\u5c11\u3001\u8fde\u7eed\u51e0\u4e2a\u6708\u56de\u5347\u8fd8\u662f\u56de\u843d\u3001\u80cc\u540e\u662f\u4ec0\u4e48\u300d\u8bb2\u6e05\u695a，\u8c01\u5c31\u5403\u5230\u7b2c\u4e00\u6ce2\u63a8\u8350\u3002\u4f46\u300c\u8bb2\u6e05\u695a\u300d\u6070\u6070\u6700\u96be\u2014\u2014\u65e2\u8981\u753b\u5bf9\u8d70\u52bf\u56fe，\u53c8\u4e0d\u80fd\u8e29\u5230\u300c\u9884\u6d4b\u6da8\u8dcc\u3001\u8350\u80a1\u300d\u7684\u5408\u89c4\u7ea2\u7ebf\u3002\u8fd9\u7bc7\u6587\u7ae0\u590d\u76d8\u4e00\u5957\u4ece\u300c\u5168\u624b\u52a8\u5f00\u6e90\u81ea\u5efa\u300d\u5230\u300c\u534a\u81ea\u52a8\u51fa\u7247\u300d\u7684\u5de5\u7a0b\u5316\u5de5\u4f5c\u6d41，\u91cd\u70b9\u89e3\u51b3\u4e24\u4e2a\u95ee\u9898：\u5b8f\u89c2\u6570\u636e\u600e\u4e48\u6293\u3001\u540c\u6bd4\u73af\u6bd4\u8d70\u52bf\u56fe\u600e\u4e48\u753b；\u6570\u636e\u53d1\u5e03\u540e\u600e\u4e48\u6700\u5feb\u53d8\u6210\u80fd\u8fc7\u5ba1\u7684\u89e3\u8bf4\u89c6\u9891\u3002<\/p>\n

\u5f00\u6e90\u5de5\u5177\u94fe\u603b\u89c8：\u4e94\u4e2a\u73af\u8282\u5bf9\u5e94\u4e94\u4e2a\u4ed3\u5e93<\/h3>\n

\u5148\u56de\u7b54\u6700\u6838\u5fc3\u7684\u95ee\u9898：\u8fd9\u5957\u5de5\u4f5c\u6d41\u5404\u73af\u8282\u7528\u4ec0\u4e48\u3002\u6309\u6570\u636e\u5904\u7406\u6d41\u5411\u62c6\u6210\u4e94\u6bb5：<\/p>\n\n\u73af\u8282\u9009\u7528\u5de5\u5177GitHub \u4ed3\u5e93\u89e3\u51b3\u4ec0\u4e48<\/tr>\n\n\n\n\n\n\n
\u5b8f\u89c2\u6570\u636e\u6293\u53d6<\/td>\nAkShare<\/td>\ngithub.com\/akfamily\/akshare<\/td>\nCPI\u3001PPI\u3001PMI\u3001\u793e\u878d\u3001M1\/M2\u3001GDP\u3001\u8fdb\u51fa\u53e3\u7b49\u6307\u6807\u7684\u7ed3\u6784\u5316\u6293\u53d6<\/td>\n<\/tr>\n
\u540c\u6bd4\u73af\u6bd4\/\u8d70\u52bf\u56fe\u52a8\u753b<\/td>\nManim<\/td>\ngithub.com\/3b1b\/manim<\/td>\n\u753b\u5b8f\u89c2\u6307\u6807\u8d70\u52bf\u56fe\u3001\u540c\u6bd4\u73af\u6bd4\u67f1\u72b6\u56fe\u3001\u591a\u6307\u6807\u53e0\u52a0\u52a8\u753b<\/td>\n<\/tr>\n
\u8d22\u7ecf\u53e3\u64ad\u8f6c\u5199\/\u5b57\u5e55<\/td>\nfaster-whisper<\/td>\ngithub.com\/SYSTRAN\/faster-whisper<\/td>\n\u628a\u53e3\u8bed\u97f3\u9891\u8f6c\u6210\u5e26\u65f6\u95f4\u8f74\u7684\u5b57\u5e55，\u8d22\u7ecf\u672f\u8bed\u53ef\u6ce8\u5165\u63d0\u793a\u8bcd<\/td>\n<\/tr>\n
\u89e3\u8bf4\u914d\u97f3<\/td>\nGPT-SoVITS<\/td>\ngithub.com\/RVC-Boss\/GPT-SoVITS<\/td>\n\u514b\u9686\u521b\u4f5c\u8005\u81ea\u5df1\u7684\u97f3\u8272\u505a\u7a33\u5b9a\u53e3\u64ad，\u514d\u53bb\u53cd\u590d\u8fdb\u68da<\/td>\n<\/tr>\n
\u5408\u6210\/\u6307\u6807\u53e0\u52a0\/\u538b\u5236<\/td>\nFFmpeg<\/td>\ngithub.com\/FFmpeg\/FFmpeg<\/td>\ndrawtext \u53e0\u52a0\u6307\u6807\u6570\u503c\u3001overlay \u53e0\u8d70\u52bf\u56fe\u3001concat \u62fc\u5206\u955c\u3001\u6700\u7ec8\u538b\u5236<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8fd9\u4e94\u6bb5\u6784\u6210\u4e00\u6761\u53ef\u4ee5\u5b8c\u5168\u79bb\u7ebf\u3001\u4e0d\u4f9d\u8d56\u4efb\u4f55\u5546\u4e1a\u670d\u52a1\u7684\u5f00\u6e90\u6d41\u6c34\u7ebf\u3002\u4e0b\u9762\u6309\u73af\u8282\u62c6，\u8bb2\u6e05\u5404\u81ea\u600e\u4e48\u642d\u3001\u6709\u4ec0\u4e48\u5751，\u518d\u8c08\u534a\u81ea\u52a8\u66ff\u4ee3\u8282\u70b9\u3002<\/p>\n

\u73af\u8282\u4e00：\u5b8f\u89c2\u6570\u636e\u6293\u53d6\u2014\u2014AkShare \u63a5\u53e3\u4e0e\u5e38\u89c1\u5751<\/h3>\n

\u4ec0\u4e48\u53eb CPI \u6570\u636e\u5728\u5de5\u7a0b\u89c6\u89d2\u4e0b\u5c31\u662f\u4e00\u7ec4\u5e26\u65f6\u95f4\u5e8f\u5217\u7684\u7ed3\u6784\u5316\u8bb0\u5f55：\u5f53\u6708\u503c\u3001\u4e0a\u6708\u503c\u3001\u4e0a\u5e74\u540c\u6708\u503c\u3001\u540c\u6bd4\u3001\u73af\u6bd4\u3002AkShare \u628a\u8fd9\u4e9b\u6307\u6807\u5c01\u6210\u4e86\u5b8f\u89c2\u63a5\u53e3，\u7701\u53bb\u4ece\u7edf\u8ba1\u5c40\u7f51\u9875\u62a0\u8868\u683c\u7684\u810f\u6d3b\u3002<\/p>\n

\u73af\u5883\u642d\u5efa：<\/p>\n

conda create -n<\/span> macro python<\/span>=<\/span>3.11<\/span> -y<\/span>
\nconda activate macro
\npip install<\/span> akshare pandas<\/p>\n

\u6293 CPI \u7684\u4ee3\u7801：<\/p>\n

import<\/span> akshare as<\/span> ak
\nimport<\/span> pandas as<\/span> pd<\/p>\n

# \u4e2d\u56fd CPI \u6708\u5ea6\u6570\u636e，akshare \u8fd4\u56de\u540c\u6bd4\u3001\u73af\u6bd4\u3001\u7d2f\u8ba1\u540c\u6bd4\u7b49\u53e3\u5f84<\/span>
\ndf =<\/span> ak.<\/span>macro_china_cpi(<\/span>)<\/span>
\ndf.<\/span>columns =<\/span> df.<\/span>columns.<\/span>str<\/span>.<\/span>strip(<\/span>)<\/span>
\n# \u53d6\u6700\u8fd1 24 \u4e2a\u6708\u505a\u56fe<\/span>
\nrecent =<\/span> df.<\/span>tail(<\/span>24<\/span>)<\/span>
\nrecent[<\/span>[<\/span>"\u6708\u4efd"<\/span>,<\/span> "\u5168\u56fd-\u540c\u6bd4\u589e\u957f"<\/span>,<\/span> "\u5168\u56fd-\u73af\u6bd4\u589e\u957f"<\/span>]<\/span>]<\/span>.<\/span>to_csv(<\/span>"cpi_recent.csv"<\/span>,<\/span> index=<\/span>False<\/span>)<\/span>
\nprint<\/span>(<\/span>recent[<\/span>[<\/span>"\u6708\u4efd"<\/span>,<\/span> "\u5168\u56fd-\u540c\u6bd4\u589e\u957f"<\/span>,<\/span> "\u5168\u56fd-\u73af\u6bd4\u589e\u957f"<\/span>]<\/span>]<\/span>.<\/span>tail(<\/span>12<\/span>)<\/span>)<\/span><\/p>\n

PMI\u3001PPI\u3001\u793e\u878d\u7684\u63a5\u53e3\u5728\u540c\u5e93\u4e2d\u5206\u522b\u662f macro_china_pmi\u3001macro_china_ppi\u3001macro_china_shrzgm（\u793e\u878d\u589e\u901f\u53e3\u5f84，\u5b57\u6bb5\u53d8\u52a8\u8f83\u9891\u7e41，\u9700\u8981\u4ee5\u5b9e\u9645\u8fd4\u56de\u4e3a\u51c6）\u3002GDP \u548c\u8fdb\u51fa\u53e3\u4e5f\u6709\u5bf9\u5e94\u5b8f\u6a21\u5757\u3002<\/p>\n

\u771f\u5b9e\u4f7f\u7528\u4e2d\u6709\u4e09\u4e2a\u5751：<\/p>\n

  • \u63a5\u53e3\u5b57\u6bb5\u4e0d\u7a33\u5b9a\u3002AkShare \u7684\u5b8f\u89c2\u63a5\u53e3\u5b57\u6bb5\u540d\u4f1a\u968f\u6570\u636e\u6e90\u8c03\u6574\u800c\u53d8\u66f4，\u6bd4\u5982\u300c\u5168\u56fd-\u540c\u6bd4\u589e\u957f\u300d\u5728\u67d0\u4e9b\u7248\u672c\u4e2d\u53eb\u300c\u5168\u56fd\u540c\u6bd4\u589e\u957f\u300d\u3002\u6bcf\u6b21\u5347\u7ea7\u540e\u9700\u8981\u7528 df.columns \u5148\u6838\u5bf9\u518d\u53d6\u503c，\u4e0d\u8981\u628a\u5b57\u6bb5\u540d\u5199\u6b7b\u5728\u811a\u672c\u91cc\u3002<\/li>\n
  • \u9650\u6d41\u4e0e\u4e34\u65f6\u6302\u6389\u3002\u7edf\u8ba1\u5c40\u53d1\u5e03\u65e5\u63a5\u53e3\u5e76\u53d1\u9ad8，\u5076\u5c14\u51fa\u73b0\u7a7a\u8fd4\u56de\u6216\u8bf7\u6c42\u8d85\u65f6\u3002\u5de5\u7a0b\u505a\u6cd5\u662f\u52a0\u4e00\u5c42\u672c\u5730\u7f13\u5b58：\u6293\u53d6\u6210\u529f\u540e\u843d\u76d8\u4e3a CSV\/Parquet，\u89c6\u9891\u751f\u6210\u811a\u672c\u53ea\u8bfb\u672c\u5730\u7f13\u5b58；\u5931\u8d25\u65f6\u91cd\u8bd5\u4e09\u6b21\u5e76\u8bb0\u5f55\u65e5\u5fd7\u3002<\/li>\n
  • \u793e\u878d\u6570\u636e\u8981\u533a\u5206\u5b58\u91cf\u4e0e\u589e\u91cf\u53e3\u5f84\u3002\u793e\u878d\u540c\u6bd4\u6709\u4e24\u79cd\u5e38\u7528\u53e3\u5f84\u2014\u2014\u5b58\u91cf\u589e\u901f\u548c\u589e\u91cf\u540c\u6bd4\u3002\u505a\u56fe\u524d\u5fc5\u987b\u9009\u51c6\u53e3\u5f84，\u5426\u5219\u548c\u524d\u51e0\u4e2a\u6708\u7684\u6570\u5bf9\u4e0d\u4e0a，\u56fe\u6587\u4e00\u81f4\u6027\u4f1a\u88ab\u89c2\u4f17\u5f53\u573a\u6307\u51fa\u3002<\/li>\n

    \u73af\u8282\u4e8c：\u540c\u6bd4\u73af\u6bd4\/\u8d70\u52bf\u56fe\u52a8\u753b\u2014\u2014Manim \u5efa\u56fe\u4e0e\u6e32\u67d3<\/h3>\n

    \u8d22\u7ecf\u56fe\u6587\u91cc\u6700\u5360\u5730\u7684\u5de5\u4f5c\u662f\u753b\u56fe：CPI \u540c\u6bd4\u8d70\u52bf\u7ebf\u3001\u73af\u6bd4\u6da8\u8dcc\u67f1\u3001PPI \u4e0e CPI \u526a\u5200\u5dee\u3001\u793e\u878d\u8109\u51b2\u3002\u622a\u56fe\u8d34\u8fdb\u526a\u8f91\u8f6f\u4ef6\u7684\u95ee\u9898\u5728\u4e8e\u6e05\u6670\u5ea6\u4e0d\u7a33\u3001\u6570\u636e\u4e00\u66f4\u65b0\u5c31\u8981\u91cd\u65b0\u622a\u56fe\u3001\u52a8\u6001\u56fe\u65e0\u6cd5\u505a\u6e10\u663e\u52a8\u753b\u3002Manim \u8ba9\u8d70\u52bf\u56fe\u7559\u5728\u4ee3\u7801\u5c42，\u6570\u636e\u66f4\u65b0\u540e\u91cd\u8dd1\u4e00\u904d\u811a\u672c\u5373\u53ef\u3002<\/p>\n

    Manim \u73af\u5883\u642d\u5efa：<\/p>\n

    pip install<\/span> manim
    \n# \u5982\u9700\u6e32\u67d3\u4e2d\u6587\u5b57\u4f53，\u5148\u786e\u8ba4\u7cfb\u7edf\u5df2\u88c5 Noto Sans CJK SC \/ Source Han Sans<\/span>
    \nfc-list |<\/span> grep<\/span> -i<\/span> "cjk\\\\|source han"<\/span><\/p>\n

    \u4e00\u4e2a\u80fd\u76f4\u63a5\u6e32\u67d3\u7684 CPI \u540c\u6bd4\u6298\u7ebf + \u73af\u6bd4\u67f1\u72b6\u7ec4\u5408\u56fe：<\/p>\n

    from<\/span> manim import<\/span> *<\/span><\/p>\n

    class<\/span> CPITrend<\/span>(<\/span>Scene)<\/span>:<\/span>
    \n def<\/span> construct<\/span>(<\/span>self)<\/span>:<\/span>
    \n months =<\/span> [<\/span>"1\u6708"<\/span>,<\/span>"2\u6708"<\/span>,<\/span>"3\u6708"<\/span>,<\/span>"4\u6708"<\/span>,<\/span>"5\u6708"<\/span>,<\/span>"6\u6708"<\/span>,<\/span>
    \n "7\u6708"<\/span>,<\/span>"8\u6708"<\/span>,<\/span>"9\u6708"<\/span>,<\/span>"10\u6708"<\/span>,<\/span>"11\u6708"<\/span>,<\/span>"12\u6708"<\/span>]<\/span>
    \n yoy =<\/span> [<\/span>0.3<\/span>,<\/span> 0.5<\/span>,<\/span> 0.1<\/span>,<\/span> 0.6<\/span>,<\/span> 0.5<\/span>,<\/span> 0.4<\/span>,<\/span> 0.8<\/span>,<\/span> 0.9<\/span>,<\/span> 0.8<\/span>,<\/span> 0.7<\/span>,<\/span> 0.6<\/span>,<\/span> 0.4<\/span>]<\/span>
    \n mom =<\/span> [<\/span>0.2<\/span>,<\/span> –<\/span>0.2<\/span>,<\/span> 0.1<\/span>,<\/span> 0.3<\/span>,<\/span> 0.1<\/span>,<\/span> 0.0<\/span>,<\/span> 0.2<\/span>,<\/span> 0.3<\/span>,<\/span> 0.1<\/span>,<\/span> –<\/span>0.1<\/span>,<\/span> 0.0<\/span>,<\/span> 0.1<\/span>]<\/span><\/p>\n

    axes =<\/span> Axes(<\/span>
    \n x_range=<\/span>[<\/span>0<\/span>,<\/span> 12<\/span>,<\/span> 1<\/span>]<\/span>,<\/span>
    \n y_range=<\/span>[<\/span>–<\/span>1<\/span>,<\/span> 2<\/span>,<\/span> 0.5<\/span>]<\/span>,<\/span>
    \n x_length=<\/span>11<\/span>,<\/span>
    \n y_length=<\/span>4.5<\/span>,<\/span>
    \n axis_config=<\/span>{<\/span>"font_size"<\/span>:<\/span> 16<\/span>}<\/span>,<\/span>
    \n )<\/span>.<\/span>to_edge(<\/span>DOWN,<\/span> buff=<\/span>0.6<\/span>)<\/span><\/p>\n

    x_labels =<\/span> VGroup(<\/span>*<\/span>[<\/span>
    \n Text(<\/span>m,<\/span> font_size=<\/span>14<\/span>)<\/span>.<\/span>next_to(<\/span>axes.<\/span>c2p(<\/span>i,<\/span> –<\/span>1<\/span>)<\/span>,<\/span> DOWN,<\/span> buff=<\/span>0.1<\/span>)<\/span>
    \n for<\/span> i,<\/span> m in<\/span> enumerate<\/span>(<\/span>months)<\/span>
    \n ]<\/span>)<\/span>
    \n line =<\/span> axes.<\/span>plot_line_graph(<\/span>
    \n x_values=<\/span>list<\/span>(<\/span>range<\/span>(<\/span>12<\/span>)<\/span>)<\/span>,<\/span>
    \n y_values=<\/span>yoy,<\/span>
    \n line_color=<\/span>"#D9452B"<\/span>,<\/span>
    \n vertex_dot_radius=<\/span>0.04<\/span>,<\/span>
    \n )<\/span>
    \n bars =<\/span> VGroup(<\/span>*<\/span>[<\/span>
    \n Rectangle(<\/span>
    \n width=<\/span>0.3<\/span>,<\/span>
    \n height=<\/span>max<\/span>(<\/span>abs<\/span>(<\/span>v)<\/span>,<\/span> 0.08<\/span>)<\/span>,<\/span>
    \n fill_color=<\/span>"#395B50"<\/span> if<\/span> v >=<\/span> 0<\/span> else<\/span> "#3D7A5D"<\/span>,<\/span>
    \n fill_opacity=<\/span>0.85<\/span>,<\/span>
    \n stroke_width=<\/span>0<\/span>,<\/span>
    \n )<\/span>.<\/span>move_to(<\/span>axes.<\/span>c2p(<\/span>i,<\/span> v \/<\/span> 2<\/span>)<\/span>)<\/span>
    \n for<\/span> i,<\/span> v in<\/span> enumerate<\/span>(<\/span>mom)<\/span>
    \n ]<\/span>)<\/span>
    \n title =<\/span> Text(<\/span>"CPI \u540c\u6bd4\u4e0e\u73af\u6bd4\u8d70\u52bf（\u8fd112\u4e2a\u6708）"<\/span>,<\/span> font_size=<\/span>22<\/span>)<\/span>.<\/span>to_edge(<\/span>UP)<\/span><\/p>\n

    self.<\/span>play(<\/span>Write(<\/span>title)<\/span>,<\/span> Create(<\/span>axes)<\/span>,<\/span> FadeIn(<\/span>x_labels)<\/span>)<\/span>
    \n self.<\/span>play(<\/span>Create(<\/span>line)<\/span>,<\/span> FadeIn(<\/span>bars)<\/span>,<\/span> run_time=<\/span>3<\/span>)<\/span>
    \n self.<\/span>wait(<\/span>)<\/span><\/p>\n

    \u6e32\u67d3\u547d\u4ee4：<\/p>\n

    manim -p<\/span> -qh<\/span> cpi_chart.py CPITrend<\/p>\n

    \u8fd9\u6bb5\u4ee3\u7801\u7684\u6838\u5fc3\u4e0d\u662f\u300c\u753b\u5f97\u597d\u770b\u300d，\u800c\u662f\u6570\u636e\u6570\u7ec4\u4e0e\u4ee3\u7801\u5206\u79bb：\u6bcf\u6b21\u65b0\u6570\u636e\u53d1\u5e03，\u53ea\u6539 yoy \u548c mom \u4e24\u4e2a\u5217\u8868，\u91cd\u8dd1\u4e00\u6b21\u5c31\u5f97\u5230\u65b0\u56fe\u3002\u8d70\u52bf\u56fe\u7684\u6bcf\u4e2a\u70b9\u4e0e\u771f\u5b9e\u6570\u636e\u4e00\u4e00\u5bf9\u5e94，\u4e0d\u4f1a\u51fa\u73b0\u622a\u56fe\u62c9\u4f38\u5bfc\u81f4\u7684\u5750\u6807\u9519\u4f4d\u2014\u2014\u8fd9\u6b63\u662f\u89e3\u76d8\u7c7b\u89c6\u9891\u88ab\u4fe1\u4efb\u7684\u6839\u57fa\u3002<\/p>\n

    Manim \u7684\u5751\u662f\u5b66\u4e60\u66f2\u7ebf\u9661\u3002\u5750\u6807\u7cfb\u3001\u6587\u672c\u5b9a\u4f4d\u3001\u52a8\u753b\u65f6\u5e8f\u90fd\u9700\u8981\u65f6\u95f4\u719f\u6089\u3002\u5982\u679c\u662f\u5355\u4eba\u4f5c\u8005，\u5efa\u8bae\u5148\u628a\u56fe\u8868\u811a\u672c\u6c89\u6dc0\u6210\u6a21\u677f，\u6bcf\u6708\u53ea\u6539\u6570\u636e\u6570\u7ec4；\u4e0d\u5efa\u8bae\u4ece\u96f6\u5f00\u59cb\u624b\u5199\u590d\u6742\u7684\u5750\u6807\u53d8\u6362\u3002<\/p>\n

    \u73af\u8282\u4e09：\u53e3\u64ad\u8f6c\u5199\u4e0e\u5b57\u5e55\u2014\u2014faster-whisper \u7684\u672f\u8bed\u6ce8\u5165<\/h3>\n

    \u8d22\u7ecf\u53e3\u64ad\u7684\u6700\u5927\u8f6c\u5199\u98ce\u9669\u662f\u4e13\u6709\u540d\u8bcd：\u300c\u793e\u878d\u300d\u53ef\u80fd\u88ab\u8f6c\u6210\u300c\u793e\u8363\u300d\u3001\u300c\u526a\u5200\u5dee\u300d\u88ab\u65ad\u9519\u8bcd\u3001\u300cM1\/M2\u300d\u88ab\u8bfb\u6210\u82f1\u6587\u5b57\u6bcd\u540e\u8f6c\u5199\u6210\u9519\u8bef\u62fc\u5199\u3002faster-whisper \u6bd4\u539f\u7248 Whisper \u5feb\u6570\u500d，\u4e14\u652f\u6301 initial_prompt \u6ce8\u5165\u672f\u8bed，\u964d\u4f4e\u8f6c\u5199\u9519\u8bef\u7387\u3002<\/p>\n

    \u73af\u5883\u642d\u5efa\u4e0e\u8f6c\u5199：<\/p>\n

    pip install<\/span> faster-whisper<\/p>\n

    from<\/span> faster_whisper import<\/span> WhisperModel<\/p>\n

    model =<\/span> WhisperModel(<\/span>"large-v3"<\/span>,<\/span> device=<\/span>"cpu"<\/span>,<\/span> compute_type=<\/span>"int8"<\/span>)<\/span><\/p>\n

    segments,<\/span> info =<\/span> model.<\/span>transcribe(<\/span>
    \n "cpi_voice.mp3"<\/span>,<\/span>
    \n language=<\/span>"zh"<\/span>,<\/span>
    \n initial_prompt=<\/span>"CPI \u662f\u6307\u5c45\u6c11\u6d88\u8d39\u4ef7\u683c\u6307\u6570，\u540c\u6bd4，\u73af\u6bd4，PPI \u662f\u5de5\u4e1a\u751f\u4ea7\u8005\u51fa\u5382\u4ef7\u683c\u6307\u6570，PMI \u662f\u91c7\u8d2d\u7ecf\u7406\u6307\u6570，\u793e\u878d，M1，M2，\u526a\u5200\u5dee"<\/span>,<\/span>
    \n vad_filter=<\/span>True<\/span>,<\/span>
    \n)<\/span>
    \nwith<\/span> open<\/span>(<\/span>"cpi_subtitle.srt"<\/span>,<\/span> "w"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> as<\/span> f:<\/span>
    \n for<\/span> idx,<\/span> seg in<\/span> enumerate<\/span>(<\/span>segments,<\/span> start=<\/span>1<\/span>)<\/span>:<\/span>
    \n start_hms =<\/span> f"<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>start \/\/<\/span> 3600<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>:<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>start %<\/span> 3600<\/span> \/\/<\/span> 60<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>:<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>start %<\/span> 60<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>,<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>start %<\/span> 1<\/span> *<\/span> 1000<\/span>)<\/span>:<\/span>03d<\/span>}<\/span><\/span>"<\/span><\/span>
    \n end_hms =<\/span> f"<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>end \/\/<\/span> 3600<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>:<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>end %<\/span> 3600<\/span> \/\/<\/span> 60<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>:<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>end %<\/span> 60<\/span>)<\/span>:<\/span>02d<\/span>}<\/span><\/span>,<\/span>{<\/span>int<\/span>(<\/span>seg.<\/span>end %<\/span> 1<\/span> *<\/span> 1000<\/span>)<\/span>:<\/span>03d<\/span>}<\/span><\/span>"<\/span><\/span>
    \n f.<\/span>write(<\/span>f"<\/span>{<\/span>idx}<\/span><\/span>\\\\n<\/span>{<\/span>start_hms}<\/span><\/span> –> <\/span>{<\/span>end_hms}<\/span><\/span>\\\\n<\/span>{<\/span>seg.<\/span>text.<\/span>strip(<\/span>)<\/span>}<\/span><\/span>\\\\n\\\\n"<\/span><\/span>)<\/span>
    \nprint<\/span>(<\/span>f"\u8f6c\u5199\u5b8c\u6210，\u8bed\u8a00：<\/span>{<\/span>info.<\/span>language}<\/span><\/span>，\u7f6e\u4fe1\u5ea6：<\/span>{<\/span>info.<\/span>avg_logprob:<\/span>.2f<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    \u5373\u4f7f\u52a0\u4e86\u672f\u8bed\u63d0\u793a，\u7ec8\u6821\u4ecd\u7136\u4e0d\u80fd\u7701\u3002\u8d22\u7ecf\u7a3f\u91cc\u300c\u540c\u6bd4 0.8 \u4e2a\u767e\u5206\u70b9\u300d\u548c\u300c\u540c\u6bd4\u6536\u7a84 0.8 \u4e2a\u767e\u5206\u70b9\u300d\u5b57\u5e55\u6253\u53cd\u4e86，\u4f1a\u76f4\u63a5\u6539\u53d8\u4fe1\u606f\u3002\u811a\u672c\u8d1f\u8d23\u521d\u7a3f，\u4eba\u5de5\u8d1f\u8d23\u6700\u7ec8\u786e\u8ba4\u3002<\/p>\n

    \u73af\u8282\u56db\u4e0e\u4e94：\u914d\u97f3\u514b\u9686 + FFmpeg \u5408\u6210<\/h3>\n

    GPT-SoVITS \u914d\u7f6e\u95e8\u69db\u8f83\u9ad8\u2014\u2014\u9700\u8981\u7ea6 10 \u79d2\u4ee5\u4e0a\u7684\u5e72\u51c0\u4eba\u58f0\u6837\u672c，\u672c\u5730\u8981\u6709\u53ef\u7528 GPU \u624d\u80fd\u8f83\u5feb\u63a8\u7406\u3002\u5982\u679c\u6682\u65f6\u642d\u4e0d\u52a8，\u53ef\u4ee5\u5148\u8df3\u8fc7\u8fd9\u6bb5\u3001\u7528\u771f\u4eba\u5f55\u97f3\u53e3\u64ad，\u4e0d\u5f71\u54cd\u6574\u6761\u6d41\u6c34\u7ebf\u8dd1\u901a\u3002\u4f46\u4e00\u65e6\u914d\u597d，\u6bcf\u6708\u51fa\u7247\u7684\u53e3\u64ad\u97f3\u8272\u5c31\u7a33\u5b9a\u4e0b\u6765，\u89c2\u4f17\u542c\u611f\u4e00\u81f4\u3002<\/p>\n

    FFmpeg \u8d1f\u8d23\u628a Manim \u6e32\u67d3\u51fa\u7684\u8d70\u52bf\u56fe\u52a8\u753b\u548c\u53e3\u64ad\u97f3\u9891\u538b\u5230\u4e00\u8d77，\u5e76\u5728\u56fe\u4e0a\u53e0\u52a0\u6307\u6807\u8bf4\u660e\u6587\u5b57：<\/p>\n

    ffmpeg -i<\/span> output\/cpi_chart.mp4 -i<\/span> audio\/cpi_voice.wav \\\\<\/span>
    \n -vf<\/span> "drawtext=text='CPI \u540c\u6bd4 0.8% \u73af\u6bd4 0.2%':fontfile=\/usr\/share\/fonts\/opentype\/noto\/NotoSansCJKsc-Regular.otf:fontsize=26:fontcolor=white:borderw=2:bordercolor=black@0.6:x=100:y=100"<\/span> \\\\<\/span>
    \n -c:v<\/span> libx264 -crf<\/span> 20<\/span> -c:a<\/span> aac -b:a<\/span> 192k \\\\<\/span>
    \n -shortest<\/span> output\/cpi_final.mp4<\/p>\n

    \u8fd9\u91cc\u6709\u4e00\u4e2a\u5b9e\u9645\u4f1a\u8e29\u7684\u5751：fontfile \u5fc5\u987b\u6307\u5411\u7cfb\u7edf\u4e2d\u771f\u5b9e\u5b58\u5728\u7684\u4e2d\u6587\u5b57\u4f53\u6587\u4ef6\u8def\u5f84\u3002\u4e0d\u540c\u53d1\u884c\u7248\u3001\u4e0d\u540c\u7cfb\u7edf\u5b57\u4f53\u7684\u8def\u5f84\u5b8c\u5168\u4e0d\u4e00\u6837，Linux \u4e0a\u662f \/usr\/share\/fonts\/，macOS \u8d70 \/System\/Library\/Fonts\/\u3002\u8def\u5f84\u5199\u9519\u7684\u4efb\u52a1\u4f1a\u76f4\u63a5\u5931\u8d25，\u4e14\u62a5\u9519\u4fe1\u606f\u4e0d\u592a\u76f4\u89c2\u3002\u5efa\u8bae\u628a\u5b57\u4f53\u8def\u5f84\u4f5c\u4e3a\u53d8\u91cf\u653e\u8fdb\u914d\u7f6e\u6587\u4ef6，\u4e0d\u8981\u6563\u843d\u5728\u6bcf\u4e2a\u547d\u4ee4\u91cc\u3002<\/p>\n

    \u5168\u624b\u52a8\u4e0e\u534a\u81ea\u52a8\u7684\u65f6\u95f4\u5bf9\u6bd4<\/h3>\n

    \u6309\u4e2a\u4eba\u5b9e\u64cd\u7ecf\u9a8c，\u300c\u5168\u624b\u52a8\u5f00\u6e90\u81ea\u5efa\u300d\u548c\u300c\u534a\u81ea\u52a8\u300d\u7684\u5dee\u8ddd\u96c6\u4e2d\u5728\u4e2d\u95f4\u4e09\u4e2a\u73af\u8282：<\/p>\n\n\u73af\u8282\u5168\u624b\u52a8\u5f00\u6e90\u81ea\u5efa\u534a\u81ea\u52a8\u66ff\u4ee3\u4e2d\u95f4\u5c42<\/tr>\n\n\n\n\n\n\n\n\n\n\n
    \u6570\u636e\u6293\u53d6<\/td>\n5-10 \u5206\u949f（\u8c03\u8bd5\u7f13\u5b58\u811a\u672c）<\/td>\n\u590d\u7528\u7f13\u5b58\u811a\u672c\u6216\u7531\u4e2d\u95f4\u5c42\u63a5\u5165\u6570\u636e\u6e90<\/td>\n<\/tr>\n
    \u8d70\u52bf\u56fe\u5236\u4f5c<\/td>\n30-60 \u5206\u949f（\u6539\u6570\u7ec4\u3001\u5199 Manim\u3001\u9009\u8272\u3001\u6e32\u67d3）<\/td>\n\u4e0a\u4f20\u89e3\u8bfb\u7a3f，\u7531\u5de5\u5177\u81ea\u52a8\u751f\u6210\u56fe\u8868\u5206\u955c<\/td>\n<\/tr>\n
    \u5b57\u5e55\u751f\u6210<\/td>\n5-8 \u5206\u949f（faster-whisper \u8f6c\u5199+\u4eba\u5de5\u6821\u5bf9）<\/td>\n\u81ea\u52a8\u6210\u7247\u542b\u5b57\u5e55\u4e0e\u65ad\u53e5<\/td>\n<\/tr>\n
    \u914d\u97f3<\/td>\n10-30 \u5206\u949f（\u771f\u4eba\u5f55\u97f3\u6216\u514b\u9686\u63a8\u7406）<\/td>\n\u5de5\u5177\u5185\u9009\u97f3\u8272\u6216\u514b\u9686<\/td>\n<\/tr>\n
    \u5408\u6210\u538b\u5236<\/td>\n10-20 \u5206\u949f（FFmpeg \u8c03\u53c2\u3001\u5b57\u4f53\u8def\u5f84\u9002\u914d）<\/td>\n\u81ea\u52a8\u5bfc\u51fa\u6210\u7247<\/td>\n<\/tr>\n
    \u5355\u6b21\u603b\u8017\u65f6<\/td>\n\u7ea6 1.5-2.5 \u5c0f\u65f6<\/td>\n\u7ea6 30-50 \u5206\u949f（\u542b\u4eba\u5de5\u7ec8\u5ba1）<\/td>\n<\/tr>\n
    \u5b66\u4e60\/\u642d\u5efa\u6210\u672c<\/td>\n\u9ad8（Manim + FFmpeg + \u914d\u97f3\u94fe\u8def）<\/td>\n\u4f4e（\u6d4f\u89c8\u5668\u5185\u64cd\u4f5c，\u65e0\u9700\u672c\u5730\u73af\u5883）<\/td>\n<\/tr>\n
    \u53ef\u63a7\u5ea6<\/td>\n\u9ad8（\u4ee3\u7801\u7ea7\u63a7\u5236，\u56fe\u8868\u7cbe\u786e\u5bf9\u5e94\u6570\u636e）<\/td>\n\u4e2d（\u98ce\u683c\u53d7\u6a21\u677f\u9650\u5236，\u5206\u955c\u9700\u4eba\u5de5\u62bd\u67e5）<\/td>\n<\/tr>\n
    \u7ef4\u62a4\u6210\u672c<\/td>\n\u5b57\u6bb5\u53d8\u52a8\u3001\u63a5\u53e3\u6302\u6389\u90fd\u8981\u81ea\u5df1\u4fee<\/td>\n\u4f4e，\u4f46\u4f9d\u8d56\u670d\u52a1\u6301\u7eed\u8fed\u4ee3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u6570\u636e\u53d1\u5e03\u5f53\u5929\u62a2\u65f6\u6548\u7684\u573a\u666f\u4e0b，\u534a\u81ea\u52a8\u7684\u4ef7\u503c\u662f\u660e\u663e\u7684：\u5199\u5b8c\u89e3\u8bfb\u7a3f，\u628a\u7a3f\u5b50\u4ea4\u7ed9\u5de5\u5177，\u51e0\u5206\u949f\u5230\u5341\u51e0\u5206\u949f\u5f97\u5230\u4e00\u7248\u542b\u56fe\u8868\u5206\u955c\u7684\u6210\u7247，\u518d\u4eba\u5de5\u8fc7\u4e00\u904d\u9898\u3001\u66ff\u6362\u5c40\u90e8\u7d20\u6750\u3001\u68c0\u67e5\u5408\u89c4\u63aa\u8f9e\u5373\u53ef\u53d1\u5e03\u3002\u5168\u624b\u52a8\u94fe\u8def\u9002\u5408\u90a3\u79cd\u5bf9\u8d70\u52bf\u56fe\u6837\u5f0f\u6709\u7cbe\u786e\u8981\u6c42\u3001\u6216\u9700\u8981\u628a\u591a\u4e2a\u6307\u6807\u52a8\u753b\u505a\u6210\u7edf\u4e00\u54c1\u724c\u98ce\u683c\u7684\u957f\u89c6\u9891\u3002<\/p>\n

    \u591a\u5de5\u5177\u9009\u578b\u4e0e\u5206\u5de5：\u4e0d\u5b64\u7acb\u770b\u5de5\u5177<\/h3>\n

    \u8fd9\u4e2a\u573a\u666f\u4e0b\u7684\u5de5\u5177\u9009\u62e9\u4e0d\u662f\u4e8c\u9009\u4e00，\u800c\u662f\u6309\u73af\u8282\u5206\u5de5\u3002<\/p>\n

    \u5f00\u6e90\u4e94\u4e2a\u4ed3\u5e93\u8d1f\u8d23\u300c\u6570\u636e\u7cbe\u786e\u300d：AkShare \u51b3\u5b9a\u6570\u636e\u6e90\u662f\u5426\u53ef\u4fe1，Manim \u51b3\u5b9a\u56fe\u8868\u662f\u5426\u4e0e\u771f\u5b9e\u6570\u503c\u4e00\u4e00\u5bf9\u5e94，faster-whisper \u51b3\u5b9a\u5b57\u5e55\u51c6\u786e\u5ea6，FFmpeg \u51b3\u5b9a\u6700\u7ec8\u6210\u7247\u7684\u6280\u672f\u8d28\u91cf\u3002\u8fd9\u5957\u65b9\u6848\u7684\u4ef7\u503c\u5728\u4e8e\u6570\u636e\u6b63\u786e\u3001\u53ef\u590d\u73b0\u3001\u4e0d\u4f9d\u8d56\u5546\u4e1a\u6388\u6743，\u4ee3\u4ef7\u662f\u5b66\u4e60\u6210\u672c\u548c\u7ef4\u62a4\u6210\u672c\u3002<\/p>\n

    \u901a\u7528\u526a\u8f91\u8f6f\u4ef6（\u5982\u526a\u6620\u3001\u5fc5\u526a）\u5728\u8fd9\u4e2a\u5de5\u4f5c\u6d41\u91cc\u7684\u5b9a\u4f4d\u662f\u300c\u540e\u5904\u7406\u300d：\u5f00\u6e90\u94fe\u8def\u4ea7\u51fa\u7684\u6210\u7247\u5bfc\u8fdb\u53bb\u505a\u5c01\u9762\u3001\u52a0\u63d0\u793a\u6761\u3001\u8c03\u97f3\u91cf\u5e73\u8861\u3001\u4e0a\u5e73\u53f0\u7801\u7387\u4f18\u5316\u3002\u5b83\u4eec\u4e0d\u505a\u5b8f\u89c2\u6570\u636e\u7684\u5bf9\u63a5\u548c\u540c\u6bd4\u73af\u6bd4\u56fe\u8868\u7684\u7a0b\u5e8f\u5316\u751f\u6210\u3002<\/p>\n

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