28 lines
888 B
Python
28 lines
888 B
Python
import matplotlib.pyplot as plt
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import numpy as np
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# 1. 你的心率数据（示例 10 人，单位 bpm）
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# hr_data = [90.4,81.0,68.2,91.6,67.0,75.6,88.9,83.1,102.6] # (静息态)
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hr_data = [102.3,85.7,70.7,103.6,72.9,76.0,90.3,91.5,105.0] # (运动后)
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# 2. 基本统计
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mean_hr = np.mean(hr_data)
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std_hr = np.std(hr_data)
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# 3. 画柱形图（直方图）
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bins = np.arange(65, 110, 2) # 2 bpm 一个柱，范围可调
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plt.figure(figsize=(6, 4))
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n, bins, patches = plt.hist(hr_data, bins=bins, color='skyblue', edgecolor='black')
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# 4. 美化
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plt.title(f'Heart-Rate Distribution (n={len(hr_data)})')
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plt.xlabel('Heart Rate (bpm)')
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plt.ylabel('Count')
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plt.xticks(bins)
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plt.grid(axis='y', linestyle='--', alpha=0.6)
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# 5. 把均值画成竖线
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plt.axvline(mean_hr, color='red', linestyle='--', label=f'Mean = {mean_hr:.1f} bpm')
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plt.legend()
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plt.tight_layout()
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plt.show() |