2024-09-20 09:26:39 +08:00
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import pandas as pd
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import numpy as np
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# 设置随机种子以确保结果可重复
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np.random.seed(42)
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# 定义行数，即生成多少个设备
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2024-09-21 22:39:09 +08:00
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num_rows = 56
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2024-09-20 09:26:39 +08:00
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# 生成设备id（例如100到200之间的设备ID）
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2024-09-21 22:39:09 +08:00
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device_ids = (i for i in range(51, 107))
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2024-09-20 09:26:39 +08:00
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# 生成设备残值，假设范围在1000到10000之间
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device_salvage_values = np.random.randint(10, 1000, size=num_rows)
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# 创建数据框，将设备id和设备残值结合起来
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df_devices = pd.DataFrame({
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'设备id': device_ids,
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'设备残值': device_salvage_values
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})
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# 保存为CSV文件
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file_path_devices = '测试数据 device_salvage_values.csv'
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df_devices.to_csv(file_path_devices, index=False)
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