25 lines
923 B
Python
25 lines
923 B
Python
import pandas as pd
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from cycle import cycle
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filepath = "D:/python_project_data/1.csv"
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origin_data = pd.read_csv(filepath)
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row_len = origin_data.shape[0]
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cow_len = origin_data.shape[1]
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disturb_data = origin_data
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algorithm_step = cycle()
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cow_name = "G1.TTXD1_3"
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contrast_data = pd.DataFrame()
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contrast_data[cow_name+'_origin'] = origin_data[cow_name]
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algorithm_step.set_config('{"CYCLE_AMPLITUDE_BASE": 200 , "CYCLE_TIME_BASE": 5 ,"CYCLE_START_ANGLE_BASE": 3.14}')
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# algorithm_step.set_config('{"CYCLE_TIME_BASE": 5 }')
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for i in range(0,row_len):
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disturb_data.loc[i,cow_name]=algorithm_step.eval(origin_data.loc[i,cow_name],i)
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print(disturb_data)
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contrast_data[cow_name+'_disturb'] = disturb_data[cow_name]
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disturb_data.to_csv("D:/python_project_data/1_disturb.csv", index=False)
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contrast_data.to_csv("D:/python_project_data/contrast_data.csv", index=False)
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# 以下均为测试性能用
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print(algorithm_step.config_) |