如何使用Numpy将百分制成绩转换为4分制GPA成绩

换算规则（匹配示例输出要求） #

• 93~100分：4.0
• 90~92分：3.7
• 87~89分：3.3
• 83~86分：3.0
• 80~82分：2.7
• 77~79分：2.3
• 73~76分：2.0
• 70~72分：1.7
• 67~69分：1.3
• 63~66分：1.0
• 60~62分：0.7
• 60分以下：0.0

纯Python实现（无额外依赖） #

def score_to_gpa(score):
    if score >= 93:
        return 4.0
    elif score >= 90:
        return 3.7
    elif score >= 87:
        return 3.3
    elif score >= 83:
        return 3.0
    elif score >= 80:
        return 2.7
    elif score >= 77:
        return 2.3
    elif score >= 73:
        return 2.0
    elif score >= 70:
        return 1.7
    elif score >= 67:
        return 1.3
    elif score >= 63:
        return 1.0
    elif score >= 60:
        return 0.7
    else:
        return 0.0

# 测试示例
scores = [95, 100, 80, 42]
gpa_list = [score_to_gpa(s) for s in scores]
print(gpa_list) # 输出：[4.0, 4.0, 2.7, 0.0]

Numpy实现（适合批量处理大量成绩） #

import numpy as np

def batch_score_to_gpa(scores):
    scores = np.asarray(scores)
    gpa = np.zeros_like(scores, dtype=float)
    gpa[scores >= 93] = 4.0
    gpa[(90 <= scores) & (scores < 93)] = 3.7
    gpa[(87 <= scores) & (scores < 90)] = 3.3
    gpa[(83 <= scores) & (scores < 87)] = 3.0
    gpa[(80 <= scores) & (scores < 83)] = 2.7
    gpa[(77 <= scores) & (scores < 80)] = 2.3
    gpa[(73 <= scores) & (scores < 77)] = 2.0
    gpa[(70 <= scores) & (scores < 73)] = 1.7
    gpa[(67 <= scores) & (scores < 70)] = 1.3
    gpa[(63 <= scores) & (scores < 67)] = 1.0
    gpa[(60 <= scores) & (scores < 63)] = 0.7
    return gpa.tolist()

# 测试示例
scores = [95, 100, 80, 42]
print(batch_score_to_gpa(scores)) # 输出：[4.0, 4.0, 2.7, 0.0]

内容的提问来源于stack exchange，提问作者Dor Cohen