{"id":1179489,"date":"2025-01-15T18:24:19","date_gmt":"2025-01-15T10:24:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1179489.html"},"modified":"2025-01-15T18:24:22","modified_gmt":"2025-01-15T10:24:22","slug":"python%e9%87%8c%e9%9d%a2%e5%a6%82%e4%bd%95%e8%ae%a1%e7%ae%97%e6%9c%ac%e6%81%af","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1179489.html","title":{"rendered":"python\u91cc\u9762\u5982\u4f55\u8ba1\u7b97\u672c\u606f"},"content":{"rendered":"

\"python\u91cc\u9762\u5982\u4f55\u8ba1\u7b97\u672c\u606f\"<\/p>\n

\u5728Python\u91cc\u9762\u8ba1\u7b97\u672c\u606f\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528\u516c\u5f0f\u3001\u4f7f\u7528\u91d1\u878d\u8ba1\u7b97\u5e93\u3001\u4f7f\u7528numpy\u5e93\u7b49\u3002<\/strong> \u5176\u4e2d\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u5f0f\u5305\u62ec\uff1a\u4f7f\u7528\u516c\u5f0f\u8fdb\u884c\u624b\u52a8\u8ba1\u7b97\u3001\u4f7f\u7528Python\u7684\u91d1\u878d\u8ba1\u7b97\u5e93\uff08\u5982numpy_financial<\/code>\u5e93\uff09\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u5c55\u5f00\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528\u516c\u5f0f\u8fdb\u884c\u624b\u52a8\u8ba1\u7b97\u3002<\/p>\n<\/p>\n

\u4f7f\u7528\u516c\u5f0f\u8fdb\u884c\u624b\u52a8\u8ba1\u7b97\u662f\u4e00\u79cd\u57fa\u7840\u4e14\u7075\u6d3b\u7684\u65b9\u6cd5\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u8ba1\u7b97\u672c\u606f\u4e3b\u8981\u6d89\u53ca\u5230\u590d\u5229\u8ba1\u7b97\u516c\u5f0f\u3002\u590d\u5229\u8ba1\u7b97\u516c\u5f0f\u4e3a\uff1aA = P(1 + r\/n)^(nt)\uff0c\u5176\u4e2dA\u4e3a\u6700\u7ec8\u91d1\u989d\uff0cP\u4e3a\u672c\u91d1\uff0cr\u4e3a\u5e74\u5229\u7387\uff0cn\u4e3a\u6bcf\u5e74\u590d\u5229\u7684\u6b21\u6570\uff0ct\u4e3a\u6295\u8d44\u7684\u5e74\u6570\u3002\u901a\u8fc7\u8fd9\u4e2a\u516c\u5f0f\uff0c\u53ef\u4ee5\u8ba1\u7b97\u51fa\u5728\u4e0d\u540c\u7684\u5229\u7387\u548c\u6295\u8d44\u671f\u9650\u4e0b\uff0c\u672c\u91d1\u548c\u5229\u606f\u7684\u603b\u548c\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u516c\u5f0f\u8ba1\u7b97\u672c\u606f<\/h3>\n<\/p>\n

\u4f7f\u7528\u516c\u5f0f\u8ba1\u7b97\u672c\u606f\u4e0d\u4ec5\u7b80\u5355\u76f4\u63a5\uff0c\u800c\u4e14\u80fd\u591f\u5e2e\u52a9\u7406\u89e3\u80cc\u540e\u7684\u91d1\u878d\u6570\u5b66\u539f\u7406\u3002\u4e0b\u9762\u662f\u8be6\u7ec6\u7684\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n

1\u3001\u590d\u5229\u8ba1\u7b97\u516c\u5f0f<\/h4>\n<\/p>\n

\u590d\u5229\u8ba1\u7b97\u662f\u6307\u5229\u606f\u5728\u6bcf\u4e2a\u8ba1\u606f\u671f\u672b\u6dfb\u52a0\u5230\u672c\u91d1\u4e2d\uff0c\u5e76\u5728\u4e0b\u4e00\u8ba1\u606f\u671f\u8ba1\u7b97\u5229\u606f\u65f6\u4e00\u5e76\u8ba1\u606f\uff0c\u8fd9\u6837\u5229\u606f\u4f1a\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u8fc5\u901f\u589e\u957f\u3002\u590d\u5229\u8ba1\u7b97\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

[ A = P \\times (1 + \\frac{r}{n})^{nt} ]<\/p>\n<\/p>\n

\u5176\u4e2d\uff1a<\/p>\n<\/p>\n

    \n
  • A\uff1a\u6700\u7ec8\u91d1\u989d\uff08\u5305\u62ec\u672c\u91d1\u548c\u5229\u606f\uff09<\/li>\n
  • P\uff1a\u672c\u91d1<\/li>\n
  • r\uff1a\u5e74\u5229\u7387\uff08\u5c0f\u6570\u5f62\u5f0f\uff09<\/li>\n
  • n\uff1a\u6bcf\u5e74\u590d\u5229\u7684\u6b21\u6570<\/li>\n
  • t\uff1a\u6295\u8d44\u7684\u5e74\u6570<\/li>\n<\/ul>\n

    \u4f7f\u7528\u8fd9\u4e2a\u516c\u5f0f\u53ef\u4ee5\u8ba1\u7b97\u51fa\u6307\u5b9a\u7684\u672c\u91d1\u5728\u4e00\u5b9a\u7684\u5229\u7387\u548c\u65f6\u95f4\u4e0b\u7684\u672c\u606f\u603b\u548c\u3002<\/p>\n<\/p>\n

    2\u3001Python\u5b9e\u73b0\u590d\u5229\u8ba1\u7b97<\/h4>\n<\/p>\n

    \u4e0b\u9762\u662f\u4e00\u4e2aPython\u4ee3\u7801\u793a\u4f8b\uff0c\u7528\u4e8e\u8ba1\u7b97\u590d\u5229\uff1a<\/p>\n<\/p>\n

    def calculate_compound_interest(principal, annual_rate, times_per_year, years):<\/p>\n
        amount = principal * (1 + annual_rate \/ times_per_year)  (times_per_year * years)<\/p>\n
        return amount<\/p>\n
    \u793a\u4f8b<\/strong><\/h2>\n
    principal = 1000  # \u672c\u91d1<\/p>\n
    annual_rate = 0.05  # \u5e74\u5229\u73875%<\/p>\n
    times_per_year = 4  # \u6bcf\u5e74\u590d\u52294\u6b21<\/p>\n
    years = 10  # \u6295\u8d4410\u5e74<\/p>\n
    total_amount = calculate_compound_interest(principal, annual_rate, times_per_year, years)<\/p>\n
    print(f"\u6700\u7ec8\u91d1\u989d\uff08\u5305\u62ec\u672c\u91d1\u548c\u5229\u606f\uff09\uff1a{total_amount:.2f}")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u8c03\u7528\u51fd\u6570calculate_compound_interest<\/code>\u5e76\u4f20\u5165\u76f8\u5e94\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u8ba1\u7b97\u51fa\u6295\u8d4410\u5e74\u540e\uff0c\u672c\u91d11000\u5143\u5728\u5e74\u5229\u73875%\u7684\u60c5\u51b5\u4e0b\uff0c\u6bcf\u5e74\u590d\u52294\u6b21\u7684\u672c\u606f\u603b\u548c\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528Python\u91d1\u878d\u8ba1\u7b97\u5e93<\/h3>\n<\/p>\n
    \u9664\u4e86\u624b\u52a8\u8ba1\u7b97\u4e4b\u5916\uff0cPython\u4e2d\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u91d1\u878d\u8ba1\u7b97\u5e93\uff0c\u80fd\u591f\u66f4\u65b9\u4fbf\u5730\u8fdb\u884c\u672c\u606f\u8ba1\u7b97\u3002\u5e38\u7528\u7684\u91d1\u878d\u8ba1\u7b97\u5e93\u5305\u62ecnumpy_financial<\/code>\u5e93\u3002<\/p>\n<\/p>\n
    1\u3001\u5b89\u88c5numpy_financial\u5e93<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5numpy_financial<\/code>\u5e93\uff1a<\/p>\n<\/p>\n
    pip install numpy_financial<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2\u3001\u4f7f\u7528numpy_financial\u5e93\u8ba1\u7b97\u672c\u606f<\/h4>\n<\/p>\n
    numpy_financial<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e9b\u91d1\u878d\u8ba1\u7b97\u51fd\u6570\uff0c\u5982fv<\/code>\uff08future value\uff0c\u672a\u6765\u4ef7\u503c\uff09\u51fd\u6570\uff0c\u7528\u4e8e\u8ba1\u7b97\u590d\u5229\u540e\u7684\u672c\u606f\u603b\u548c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import numpy_financial as npf<\/p>\n
    principal = 1000  # \u672c\u91d1<\/p>\n
    annual_rate = 0.05  # \u5e74\u5229\u73875%<\/p>\n
    times_per_year = 4  # \u6bcf\u5e74\u590d\u52294\u6b21<\/p>\n
    years = 10  # \u6295\u8d4410\u5e74<\/p>\n
    \u8ba1\u7b97\u590d\u5229\u540e\u7684\u672c\u606f\u603b\u548c<\/strong><\/h2>\n
    total_amount = npf.fv(annual_rate \/ times_per_year, times_per_year * years, 0, -principal)<\/p>\n
    print(f"\u6700\u7ec8\u91d1\u989d\uff08\u5305\u62ec\u672c\u91d1\u548c\u5229\u606f\uff09\uff1a{total_amount:.2f}")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u8c03\u7528npf.fv<\/code>\u51fd\u6570\u5e76\u4f20\u5165\u76f8\u5e94\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u8ba1\u7b97\u51fa\u6295\u8d4410\u5e74\u540e\uff0c\u672c\u91d11000\u5143\u5728\u5e74\u5229\u73875%\u7684\u60c5\u51b5\u4e0b\uff0c\u6bcf\u5e74\u590d\u52294\u6b21\u7684\u672c\u606f\u603b\u548c\u3002<\/p>\n<\/p>\n
    \u4e09\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790<\/h3>\n<\/p>\n
    Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u548c\u5206\u6790\u91d1\u878d\u6570\u636e\u3002\u4f7f\u7528Pandas\u8fdb\u884c\u672c\u606f\u8ba1\u7b97\u4e0d\u4ec5\u80fd\u591f\u5904\u7406\u5355\u4e00\u7684\u8ba1\u7b97\uff0c\u8fd8\u80fd\u591f\u5904\u7406\u5927\u89c4\u6a21\u7684\u91d1\u878d\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
    1\u3001\u5b89\u88c5Pandas\u5e93<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Pandas\u5e93\uff1a<\/p>\n<\/p>\n
    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u672c\u606f\u8ba1\u7b97<\/h4>\n<\/p>\n
    \u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528Pandas\u8fdb\u884c\u672c\u606f\u8ba1\u7b97\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u521b\u5efa\u4e00\u4e2aDataFrame\uff0c\u7528\u4e8e\u5b58\u50a8\u672c\u91d1\u3001\u5e74\u5229\u7387\u3001\u6bcf\u5e74\u590d\u5229\u6b21\u6570\u3001\u6295\u8d44\u5e74\u6570<\/strong><\/h2>\n
    data = {<\/p>\n
        'Principal': [1000, 2000, 1500],<\/p>\n
        'Annual_Rate': [0.05, 0.04, 0.06],<\/p>\n
        'Times_Per_Year': [4, 2, 12],<\/p>\n
        'Years': [10, 5, 8]<\/p>\n
    }<\/p>\n
    df = pd.DataFrame(data)<\/p>\n
    \u5b9a\u4e49\u8ba1\u7b97\u590d\u5229\u7684\u51fd\u6570<\/strong><\/h2>\n
    def calculate_compound_interest(row):<\/p>\n
        principal = row['Principal']<\/p>\n
        annual_rate = row['Annual_Rate']<\/p>\n
        times_per_year = row['Times_Per_Year']<\/p>\n
        years = row['Years']<\/p>\n
        amount = principal * (1 + annual_rate \/ times_per_year)  (times_per_year * years)<\/p>\n
        return amount<\/p>\n
    \u5e94\u7528\u51fd\u6570\u8ba1\u7b97\u6bcf\u884c\u6570\u636e\u7684\u672c\u606f\u603b\u548c<\/strong><\/h2>\n
    df['Total_Amount'] = df.apply(calculate_compound_interest, axis=1)<\/p>\n
    print(df)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u9996\u5148\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u6295\u8d44\u6570\u636e\u7684DataFrame\uff0c\u7136\u540e\u5b9a\u4e49\u4e00\u4e2a\u8ba1\u7b97\u590d\u5229\u7684\u51fd\u6570\uff0c\u5e76\u5e94\u7528\u4e8e\u6bcf\u884c\u6570\u636e\uff0c\u6700\u7ec8\u8ba1\u7b97\u51fa\u6bcf\u4e2a\u6295\u8d44\u9879\u76ee\u7684\u672c\u606f\u603b\u548c\u3002<\/p>\n<\/p>\n
    \u56db\u3001\u5176\u4ed6\u91d1\u878d\u8ba1\u7b97\u65b9\u6cd5<\/h3>\n<\/p>\n
    \u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\u5916\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u91d1\u878d\u8ba1\u7b97\u65b9\u6cd5\u53ef\u4ee5\u7528\u6765\u8ba1\u7b97\u672c\u606f\uff0c\u4f8b\u5982\u4f7f\u7528Excel\u8fdb\u884c\u8ba1\u7b97\u3001\u4f7f\u7528\u5176\u4ed6\u91d1\u878d\u8ba1\u7b97\u5668\u7b49\u3002\u4e0b\u9762\u5c06\u4ecb\u7ecd\u5176\u4e2d\u7684\u4e00\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
    1\u3001\u4f7f\u7528Excel\u8fdb\u884c\u8ba1\u7b97<\/h4>\n<\/p>\n
    Excel\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u7535\u5b50\u8868\u683c\u5de5\u5177\uff0c\u5177\u6709\u8bb8\u591a\u5185\u7f6e\u7684\u91d1\u878d\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u8ba1\u7b97\u672c\u606f\u3002\u4f8b\u5982\uff0cExcel\u4e2d\u7684FV<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u8ba1\u7b97\u590d\u5229\u540e\u7684\u672c\u606f\u603b\u548c\u3002<\/p>\n<\/p>\n
    \u5728Excel\u4e2d\uff0c\u4f7f\u7528\u4ee5\u4e0b\u516c\u5f0f\u8ba1\u7b97\u590d\u5229\u540e\u7684\u672c\u606f\u603b\u548c\uff1a<\/p>\n<\/p>\n
    =FV(rate, nper, pmt, pv, type)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5176\u4e2d\uff1a<\/p>\n<\/p>\n
      \n
    • rate\uff1a\u6bcf\u671f\u5229\u7387<\/li>\n
    • nper\uff1a\u671f\u6570<\/li>\n
    • pmt\uff1a\u6bcf\u671f\u652f\u4ed8\u91d1\u989d<\/li>\n
    • pv\uff1a\u73b0\u503c\uff08\u672c\u91d1\uff09<\/li>\n
    • type\uff1a\u652f\u4ed8\u7c7b\u578b\uff080\u8868\u793a\u671f\u672b\u652f\u4ed8\uff0c1\u8868\u793a\u671f\u521d\u652f\u4ed8\uff09<\/li>\n<\/ul>\n
      2\u3001\u4f7f\u7528\u5176\u4ed6\u91d1\u878d\u8ba1\u7b97\u5668<\/h4>\n<\/p>\n
      \u9664\u4e86Excel\u5916\uff0c\u8fd8\u6709\u8bb8\u591a\u5728\u7ebf\u91d1\u878d\u8ba1\u7b97\u5668\u53ef\u4ee5\u7528\u6765\u8ba1\u7b97\u672c\u606f\u3002\u8fd9\u4e9b\u8ba1\u7b97\u5668\u901a\u5e38\u5177\u6709\u53cb\u597d\u7684\u7528\u6237\u754c\u9762\u548c\u8be6\u7ec6\u7684\u8ba1\u7b97\u8bf4\u660e\uff0c\u4f7f\u7528\u8d77\u6765\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n
      \u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
      \u5728Python\u91cc\u9762\u8ba1\u7b97\u672c\u606f\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528\u516c\u5f0f\u3001\u4f7f\u7528\u91d1\u878d\u8ba1\u7b97\u5e93\u3001\u4f7f\u7528Pandas\u8fdb\u884c\u6570\u636e\u5206\u6790\u7b49\u3002\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5176\u4e2d\u7684\u4e00\u4e9b\u5e38\u7528\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4e86\u76f8\u5e94\u7684Python\u4ee3\u7801\u793a\u4f8b\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u8ba1\u7b97\u51fa\u4e0d\u540c\u5229\u7387\u548c\u6295\u8d44\u671f\u9650\u4e0b\u7684\u672c\u606f\u603b\u548c\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n
      \u516d\u3001\u8fdb\u4e00\u6b65\u5b66\u4e60\u548c\u6269\u5c55<\/h3>\n<\/p>\n
      \u5982\u679c\u60a8\u5bf9\u91d1\u878d\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u611f\u5174\u8da3\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5b66\u4e60\u548c\u6269\u5c55\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
      1\u3001\u6df1\u5165\u7406\u89e3\u91d1\u878d\u6570\u5b66<\/h4>\n<\/p>\n
      \u91d1\u878d\u8ba1\u7b97\u6d89\u53ca\u5230\u8bb8\u591a\u6570\u5b66\u77e5\u8bc6\uff0c\u5982\u5229\u7387\u3001\u6298\u73b0\u3001\u5e74\u91d1\u7b49\u3002\u6df1\u5165\u7406\u89e3\u8fd9\u4e9b\u91d1\u878d\u6570\u5b66\u539f\u7406\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u8fdb\u884c\u91d1\u878d\u8ba1\u7b97\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
      2\u3001\u5b66\u4e60\u66f4\u591a\u7684\u91d1\u878d\u8ba1\u7b97\u5e93<\/h4>\n<\/p>\n
      \u9664\u4e86numpy_financial<\/code>\u5e93\u5916\uff0c\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u91d1\u878d\u8ba1\u7b97\u5e93\u53ef\u4ee5\u7528\u6765\u8fdb\u884c\u672c\u606f\u8ba1\u7b97\u548c\u5176\u4ed6\u91d1\u878d\u8ba1\u7b97\u3002\u4f8b\u5982\uff0cQuantLib<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u91d1\u878d\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u7684\u91d1\u878d\u8ba1\u7b97\u529f\u80fd\u3002<\/p>\n<\/p>\n
      3\u3001\u638c\u63e1\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u5177<\/h4>\n<\/p>\n
      Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u548c\u5206\u6790\u91d1\u878d\u6570\u636e\u3002\u9664\u4e86Pandas\u5916\uff0c\u8fd8\u6709\u8bb8\u591a\u5176\u4ed6\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u5177\u53ef\u4ee5\u7528\u6765\u8fdb\u884c\u91d1\u878d\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u4f8b\u5982\uff0cMatplotlib<\/code>\u548cSeaborn<\/code>\u662f\u4e24\u4e2a\u5e38\u7528\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u5404\u79cd\u56fe\u8868\u548c\u56fe\u5f62\u3002<\/p>\n<\/p>\n
      \u901a\u8fc7\u6df1\u5165\u5b66\u4e60\u548c\u638c\u63e1\u8fd9\u4e9b\u77e5\u8bc6\u548c\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u66f4\u597d\u5730\u8fdb\u884c\u91d1\u878d\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\uff0c\u4e3a\u81ea\u5df1\u7684\u6295\u8d44\u51b3\u7b56\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u5728Python\u4e2d\u8ba1\u7b97\u8d37\u6b3e\u7684\u672c\u606f\u548c\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u7b80\u5355\u7684\u6570\u5b66\u516c\u5f0f\u6765\u8ba1\u7b97\u8d37\u6b3e\u7684\u672c\u606f\u548c\u3002\u901a\u5e38\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u516c\u5f0f\uff1a\u672c\u606f\u548c = \u8d37\u6b3e\u672c\u91d1 \u00d7 (1 + \u5229\u7387) ^ \u8d37\u6b3e\u671f\u6570\u3002\u901a\u8fc7\u7f16\u5199\u4e00\u4e2a\u7b80\u5355\u7684\u51fd\u6570\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u8ba1\u7b97\u51fa\u4e0d\u540c\u8d37\u6b3e\u6761\u4ef6\u4e0b\u7684\u672c\u606f\u548c\u3002<\/p>\n
      Python\u4e2d\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u8fdb\u884c\u672c\u606f\u8ba1\u7b97\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u9664\u4e86\u4f7f\u7528\u57fa\u7840\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u60a8\u8fd8\u53ef\u4ee5\u5229\u7528\u4e00\u4e9b\u5e93\u5982NumPy\u548cPandas\u6765\u8fdb\u884c\u66f4\u590d\u6742\u7684\u8d22\u52a1\u8ba1\u7b97\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u5b66\u548c\u7edf\u8ba1\u529f\u80fd\uff0c\u53ef\u4ee5\u5904\u7406\u5927\u91cf\u6570\u636e\u5e76\u8fdb\u884c\u7075\u6d3b\u7684\u8ba1\u7b97\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u8d37\u6b3e\u3001\u6295\u8d44\u7b49\u76f8\u5173\u7684\u8d22\u52a1\u5206\u6790\u3002<\/p>\n
      \u5982\u4f55\u5904\u7406\u4e0d\u540c\u5229\u7387\u548c\u8d37\u6b3e\u671f\u9650\u5bf9\u672c\u606f\u7684\u5f71\u54cd\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u51fd\u6570\uff0c\u901a\u8fc7\u8f93\u5165\u4e0d\u540c\u7684\u5229\u7387\u548c\u8d37\u6b3e\u671f\u9650\u6765\u89c2\u5bdf\u5176\u5bf9\u672c\u606f\u548c\u7684\u5f71\u54cd\u3002\u901a\u8fc7\u7ed8\u5236\u56fe\u8868\uff08\u5982\u4f7f\u7528Matplotlib\u5e93\uff09\uff0c\u60a8\u53ef\u4ee5\u76f4\u89c2\u5730\u770b\u5230\u5229\u7387\u548c\u671f\u9650\u7684\u53d8\u5316\u5982\u4f55\u5f71\u54cd\u6700\u7ec8\u7684\u8fd8\u6b3e\u91d1\u989d\uff0c\u8fd9\u5bf9\u4e8e\u505a\u51fa\u660e\u667a\u7684\u8d22\u52a1\u51b3\u7b56\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u91cc\u9762\u8ba1\u7b97\u672c\u606f\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528\u516c\u5f0f\u3001\u4f7f\u7528\u91d1\u878d\u8ba1\u7b97\u5e93\u3001\u4f7f\u7528numpy\u5e93\u7b49\u3002 \u5176\u4e2d\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u5f0f\u5305 […]","protected":false},"author":3,"featured_media":1179496,"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\/1179489"}],"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=1179489"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179489\/revisions"}],"predecessor-version":[{"id":1179497,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179489\/revisions\/1179497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1179496"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1179489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1179489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1179489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}