| | |
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| | | # 将 dynamicMatrix 转换为 numpy 结构化数组 |
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| | | def convert_to_structured_array(dynamicMatrix): |
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| | | # 定义结构化数组的 dtype |
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| | | dtype = [('serial', int), ('vehicle', 'U2')] |
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| | | dtype = [('serial', int), ('vehicle', 'U2'), ('time', int)] |
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| | | |
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| | | # 确保每个字典包含所有字段 |
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| | | structured_list = [] |
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| | | for row in dynamicMatrix: |
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| | | for d in row: |
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| | | # 提取字段，确保 'time' 存在，否则设置为默认值（例如 0.0） |
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| | | serial = d.get('serial', 0) |
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| | | vehicle = d.get('vehicle', '0') |
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| | | time_val = d.get('time', 0) |
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| | | structured_list.append((serial, vehicle, time_val)) |
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| | | |
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| | | # 将嵌套的列表转换为结构化数组 |
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| | | structured_array = np.array([tuple(d.values()) for row in dynamicMatrix for d in row], dtype=dtype) |
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| | | structured_array = np.array(structured_list, dtype=dtype) |
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| | | # 重塑为原始的二维形状 |
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| | | return structured_array.reshape(len(dynamicMatrix), -1) |
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| | | |
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