{"id":1017034,"date":"2024-12-27T12:21:53","date_gmt":"2024-12-27T04:21:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1017034.html"},"modified":"2024-12-27T12:21:56","modified_gmt":"2024-12-27T04:21:56","slug":"python%e5%a6%82%e4%bd%95%e7%bb%99%e6%95%b0%e5%ad%97%e5%88%86%e7%ba%a7","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1017034.html","title":{"rendered":"python\u5982\u4f55\u7ed9\u6570\u5b57\u5206\u7ea7"},"content":{"rendered":"

\"python\u5982\u4f55\u7ed9\u6570\u5b57\u5206\u7ea7\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u6761\u4ef6\u5224\u65ad\u3001\u5faa\u73af\u3001\u5217\u8868\u6216\u5b57\u5178\u6620\u5c04\u3001\u4ee5\u53ca\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u5b9e\u73b0\u6570\u5b57\u5206\u7ea7\u3002\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u548c\u5faa\u73af\u53ef\u4ee5\u7075\u6d3b\u5730\u5904\u7406\u7b80\u5355\u7684\u5206\u7ea7\u9700\u6c42\uff0c\u800c\u5217\u8868\u548c\u5b57\u5178\u6620\u5c04\u5219\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u7684\u65b9\u5f0f\u3002\u81ea\u5b9a\u4e49\u51fd\u6570\u5219\u5141\u8bb8\u6211\u4eec\u5c06\u5206\u7ea7\u903b\u8f91\u5c01\u88c5\uff0c\u4ee5\u4fbf\u590d\u7528\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u7684\u5b9e\u73b0\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u6761\u4ef6\u5224\u65ad\u4e0e\u5faa\u73af<\/p>\n<\/p>\n

\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u548c\u5faa\u73af\u662f\u5b9e\u73b0\u6570\u5b57\u5206\u7ea7\u7684\u57fa\u7840\u65b9\u6cd5\u3002\u901a\u8fc7if-elif-else\u8bed\u53e5\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6570\u5b57\u7684\u5927\u5c0f\u6216\u8303\u56f4\u6765\u786e\u5b9a\u5176\u6240\u5c5e\u7684\u7ea7\u522b\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u7b80\u5355\u7684\u5206\u7ea7\u4efb\u52a1\u3002<\/p>\n<\/p>\n

    \n
  1. \u6761\u4ef6\u5224\u65ad<\/li>\n<\/ol>\n

    \u6761\u4ef6\u5224\u65ad\u662f\u5b9e\u73b0\u6570\u5b57\u5206\u7ea7\u7684\u76f4\u63a5\u65b9\u6cd5\u3002\u901a\u8fc7if-elif-else\u8bed\u53e5\uff0c\u53ef\u4ee5\u6839\u636e\u6570\u5b57\u7684\u5927\u5c0f\u6216\u8303\u56f4\u6765\u786e\u5b9a\u5176\u6240\u5c5e\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n

    def grade_number(number):<\/p>\n
        if number < 0:<\/p>\n
            return "Negative"<\/p>\n
        elif 0 <= number < 10:<\/p>\n
            return "Low"<\/p>\n
        elif 10 <= number < 20:<\/p>\n
            return "Medium"<\/p>\n
        else:<\/p>\n
            return "High"<\/p>\n
    \u793a\u4f8b<\/strong><\/h2>\n
    numbers = [-5, 3, 15, 25]<\/p>\n
    grades = [grade_number(num) for num in numbers]<\/p>\n
    print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2agrade_number<\/code>\u51fd\u6570\uff0c\u901a\u8fc7\u6761\u4ef6\u5224\u65ad\u6765\u5bf9\u8f93\u5165\u7684\u6570\u5b57\u8fdb\u884c\u5206\u7ea7\u3002\u8d1f\u6570\u88ab\u5206\u4e3a"Negative"\uff0c0\u52309\u4e4b\u95f4\u7684\u6570\u5b57\u88ab\u5206\u4e3a"Low"\uff0c10\u523019\u4e4b\u95f4\u7684\u6570\u5b57\u88ab\u5206\u4e3a"Medium"\uff0c\u5176\u4ed6\u6570\u5b57\u88ab\u5206\u4e3a"High"\u3002<\/p>\n<\/p>\n
      \n
    1. \u5faa\u73af\u4e0e\u6761\u4ef6\u5224\u65ad\u7ed3\u5408<\/li>\n<\/ol>\n
      \u5728\u5904\u7406\u591a\u4e2a\u6570\u5b57\u65f6\uff0c\u53ef\u4ee5\u5c06\u6761\u4ef6\u5224\u65ad\u4e0e\u5faa\u73af\u7ed3\u5408\u4f7f\u7528\u3002\u8fd9\u6837\u53ef\u4ee5\u5bf9\u4e00\u7ec4\u6570\u5b57\u8fdb\u884c\u7edf\u4e00\u7684\u5206\u7ea7\u3002<\/p>\n<\/p>\n
      numbers = [1, 5, 12, 18, 22, -3]<\/p>\n
      grades = []<\/p>\n
      for num in numbers:<\/p>\n
          if num < 0:<\/p>\n
              grades.append("Negative")<\/p>\n
          elif 0 <= num < 10:<\/p>\n
              grades.append("Low")<\/p>\n
          elif 10 <= num < 20:<\/p>\n
              grades.append("Medium")<\/p>\n
          else:<\/p>\n
              grades.append("High")<\/p>\n
      print(grades)  # \u8f93\u51fa: ['Low', 'Low', 'Medium', 'Medium', 'High', 'Negative']<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528for\u5faa\u73af\u904d\u5386numbers<\/code>\u5217\u8868\uff0c\u5e76\u5bf9\u6bcf\u4e2a\u6570\u5b57\u5e94\u7528\u6761\u4ef6\u5224\u65ad\u8fdb\u884c\u5206\u7ea7\u3002\u5206\u7ea7\u7ed3\u679c\u88ab\u5b58\u50a8\u5728grades<\/code>\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u5217\u8868\u4e0e\u5b57\u5178\u6620\u5c04<\/p>\n<\/p>\n
      \u4f7f\u7528\u5217\u8868\u548c\u5b57\u5178\u53ef\u4ee5\u5b9e\u73b0\u66f4\u9ad8\u6548\u7684\u6570\u5b57\u5206\u7ea7\u65b9\u5f0f\uff0c\u7279\u522b\u662f\u5728\u9700\u8981\u5bf9\u5927\u91cf\u6570\u5b57\u8fdb\u884c\u6279\u91cf\u5206\u7ea7\u65f6\u3002<\/p>\n<\/p>\n
        \n
      1. \u5217\u8868\u6620\u5c04<\/li>\n<\/ol>\n
        \u5217\u8868\u6620\u5c04\u9002\u7528\u4e8e\u5206\u7ea7\u8303\u56f4\u6709\u9650\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u76f4\u63a5\u627e\u5230\u5bf9\u5e94\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n
        def grade_number_with_list(number):<\/p>\n
            grades = ["Negative", "Low", "Medium", "High"]<\/p>\n
            if number < 0:<\/p>\n
                return grades[0]<\/p>\n
            elif 0 <= number < 10:<\/p>\n
                return grades[1]<\/p>\n
            elif 10 <= number < 20:<\/p>\n
                return grades[2]<\/p>\n
            else:<\/p>\n
                return grades[3]<\/p>\n
        \u793a\u4f8b<\/strong><\/h2>\n
        numbers = [-5, 3, 15, 25]<\/p>\n
        grades = [grade_number_with_list(num) for num in numbers]<\/p>\n
        print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5217\u8868grades<\/code>\u5b58\u50a8\u7ea7\u522b\u7684\u540d\u79f0\uff0c\u5e76\u901a\u8fc7\u6761\u4ef6\u5224\u65ad\u6765\u9009\u62e9\u5bf9\u5e94\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n
          \n
        1. \u5b57\u5178\u6620\u5c04<\/li>\n<\/ol>\n
          \u5b57\u5178\u6620\u5c04\u9002\u7528\u4e8e\u5206\u7ea7\u6807\u51c6\u8f83\u4e3a\u590d\u6742\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u901a\u8fc7\u952e\u503c\u5bf9\u7684\u65b9\u5f0f\u6765\u5b9a\u4e49\u5206\u7ea7\u89c4\u5219\u3002<\/p>\n<\/p>\n
          def grade_number_with_dict(number):<\/p>\n
              grade_dict = {<\/p>\n
                  "Negative": lambda x: x < 0,<\/p>\n
                  "Low": lambda x: 0 <= x < 10,<\/p>\n
                  "Medium": lambda x: 10 <= x < 20,<\/p>\n
                  "High": lambda x: x >= 20<\/p>\n
              }<\/p>\n
              for grade, condition in grade_dict.items():<\/p>\n
                  if condition(number):<\/p>\n
                      return grade<\/p>\n
          \u793a\u4f8b<\/strong><\/h2>\n
          numbers = [-5, 3, 15, 25]<\/p>\n
          grades = [grade_number_with_dict(num) for num in numbers]<\/p>\n
          print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5b57\u5178grade_dict<\/code>\u5b58\u50a8\u5206\u7ea7\u89c4\u5219\uff0c\u5176\u4e2d\u952e\u662f\u7ea7\u522b\u540d\u79f0\uff0c\u503c\u662f\u7528\u4e8e\u5224\u65ad\u7684lambda\u51fd\u6570\u3002\u901a\u8fc7\u904d\u5386\u5b57\u5178\uff0c\u53ef\u4ee5\u6839\u636e\u6570\u5b57\u7684\u503c\u627e\u5230\u5bf9\u5e94\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u81ea\u5b9a\u4e49\u51fd\u6570<\/p>\n<\/p>\n
          \u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u53ef\u4ee5\u5c06\u5206\u7ea7\u903b\u8f91\u5c01\u88c5\uff0c\u4ee5\u4fbf\u4e8e\u4ee3\u7801\u7684\u590d\u7528\u548c\u7ef4\u62a4\u3002<\/p>\n<\/p>\n
            \n
          1. \u7b80\u5355\u7684\u81ea\u5b9a\u4e49\u51fd\u6570<\/li>\n<\/ol>\n
            \u81ea\u5b9a\u4e49\u51fd\u6570\u53ef\u4ee5\u63a5\u53d7\u4e00\u4e2a\u6216\u591a\u4e2a\u53c2\u6570\uff0c\u4ee5\u5b9e\u73b0\u7075\u6d3b\u7684\u5206\u7ea7\u903b\u8f91\u3002<\/p>\n<\/p>\n
            def custom_grade(number, breakpoints, labels):<\/p>\n
                for i, breakpoint in enumerate(breakpoints):<\/p>\n
                    if number < breakpoint:<\/p>\n
                        return labels[i]<\/p>\n
                return labels[-1]<\/p>\n
            \u793a\u4f8b<\/strong><\/h2>\n
            breakpoints = [0, 10, 20]<\/p>\n
            labels = ["Negative", "Low", "Medium", "High"]<\/p>\n
            numbers = [-5, 3, 15, 25]<\/p>\n
            grades = [custom_grade(num, breakpoints, labels) for num in numbers]<\/p>\n
            print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0ccustom_grade<\/code>\u51fd\u6570\u63a5\u53d7\u5206\u7ea7\u7684\u4e34\u754c\u503c\u548c\u5bf9\u5e94\u7684\u6807\u7b7e\uff0c\u8fd4\u56de\u6570\u5b57\u5bf9\u5e94\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n
              \n
            1. \u590d\u6742\u7684\u81ea\u5b9a\u4e49\u51fd\u6570<\/li>\n<\/ol>\n
              \u5bf9\u4e8e\u590d\u6742\u7684\u5206\u7ea7\u9700\u6c42\uff0c\u53ef\u4ee5\u5728\u81ea\u5b9a\u4e49\u51fd\u6570\u4e2d\u5b9e\u73b0\u66f4\u591a\u7684\u903b\u8f91\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
              def complex_grade(number, ranges):<\/p>\n
                  for range_info in ranges:<\/p>\n
                      if range_info["condition"](number):<\/p>\n
                          return range_info["label"]<\/p>\n
                  return "Unknown"<\/p>\n
              \u793a\u4f8b<\/strong><\/h2>\n
              ranges = [<\/p>\n
                  {"condition": lambda x: x < 0, "label": "Negative"},<\/p>\n
                  {"condition": lambda x: 0 <= x < 10, "label": "Low"},<\/p>\n
                  {"condition": lambda x: 10 <= x < 20, "label": "Medium"},<\/p>\n
                  {"condition": lambda x: x >= 20, "label": "High"}<\/p>\n
              ]<\/p>\n
              numbers = [-5, 3, 15, 25]<\/p>\n
              grades = [complex_grade(num, ranges) for num in numbers]<\/p>\n
              print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0ccomplex_grade<\/code>\u51fd\u6570\u63a5\u53d7\u4e00\u4e2a\u5305\u542b\u6761\u4ef6\u548c\u6807\u7b7e\u7684\u5b57\u5178\u5217\u8868\uff0c\u901a\u8fc7\u904d\u5386\u5217\u8868\u6765\u627e\u5230\u7b26\u5408\u6761\u4ef6\u7684\u7ea7\u522b\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93<\/p>\n<\/p>\n
              \u9664\u4e86Python\u5185\u7f6e\u7684\u529f\u80fd\u5916\uff0c\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\u4e5f\u53ef\u4ee5\u7b80\u5316\u6570\u5b57\u5206\u7ea7\u7684\u5b9e\u73b0\u3002\u4f8b\u5982\uff0cpandas\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u6570\u636e\u8868\u683c\uff0c\u5e76\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684\u5206\u7ea7\u529f\u80fd\u3002<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528pandas\u8fdb\u884c\u5206\u7ea7<\/li>\n<\/ol>\n
                pandas\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n
                import pandas as pd<\/p>\n
                numbers = [-5, 3, 15, 25]<\/p>\n
                bins = [-float('inf'), 0, 10, 20, float('inf')]<\/p>\n
                labels = ["Negative", "Low", "Medium", "High"]<\/p>\n
                grades = pd.cut(numbers, bins=bins, labels=labels)<\/p>\n
                print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas.cut<\/code>\u51fd\u6570\u5bf9\u6570\u5b57\u8fdb\u884c\u5206\u7ea7\u3002\u901a\u8fc7\u5b9a\u4e49\u5206\u7ea7\u7684\u8fb9\u754c\uff08bins\uff09\u548c\u6807\u7b7e\uff08labels\uff09\uff0c\u53ef\u4ee5\u5feb\u901f\u5b9e\u73b0\u5206\u7ea7\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528numpy\u8fdb\u884c\u5206\u7ea7<\/li>\n<\/ol>\n
                  numpy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u5176\u6570\u7ec4\u529f\u80fd\u5b9e\u73b0\u5feb\u901f\u5206\u7ea7\u3002<\/p>\n<\/p>\n
                  import numpy as np<\/p>\n
                  numbers = np.array([-5, 3, 15, 25])<\/p>\n
                  bins = [-np.inf, 0, 10, 20, np.inf]<\/p>\n
                  labels = ["Negative", "Low", "Medium", "High"]<\/p>\n
                  indices = np.digitize(numbers, bins) - 1<\/p>\n
                  grades = [labels[i] for i in indices]<\/p>\n
                  print(grades)  # \u8f93\u51fa: ['Negative', 'Low', 'Medium', 'High']<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy.digitize<\/code>\u51fd\u6570\u8fdb\u884c\u5206\u7ea7\u3002\u901a\u8fc7\u5b9a\u4e49\u5206\u7ea7\u7684\u8fb9\u754c\uff08bins\uff09\uff0c\u53ef\u4ee5\u5feb\u901f\u5f97\u5230\u5206\u7ea7\u7d22\u5f15\uff0c\u7136\u540e\u6620\u5c04\u5230\u6807\u7b7e\u3002<\/p>\n<\/p>\n
                  \u603b\u7ed3<\/p>\n<\/p>\n
                  \u5728Python\u4e2d\uff0c\u6570\u5b57\u5206\u7ea7\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5305\u62ec\u6761\u4ef6\u5224\u65ad\u3001\u5faa\u73af\u3001\u5217\u8868\u548c\u5b57\u5178\u6620\u5c04\u3001\u81ea\u5b9a\u4e49\u51fd\u6570\uff0c\u4ee5\u53ca\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\u5982pandas\u548cnumpy\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5206\u7ea7\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5bf9\u6570\u5b57\u8fdb\u884c\u5206\u7ea7\uff0c\u6ee1\u8db3\u5404\u79cd\u5e94\u7528\u573a\u666f\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                   \u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u6570\u5b57\u5206\u7ea7\u7684\u529f\u80fd\uff1f<\/strong>
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