Changes

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/python_project.iml" filepath="$PROJECT_DIR$/.idea/python_project.iml" />
+    </modules>
+  </component>
+</project>

.idea/python_project.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

algorithm.py

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+from abc import ABC, abstractmethod
+
+
+class algorithm(ABC):
+    @abstractmethod
+    def set_config(self, config):
+        pass
+
+    @abstractmethod
+    def config(self):
+        pass
+
+    @abstractmethod
+    def eval(self, value):
+        pass

cycle.py

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+from algorithm import algorithm
+import json
+import math
+
+
+class cycle(algorithm):
+    def __init__(self):
+        self.config_dict_ = None
+        self.config_ = None
+        self.amplitude_base_ = 0.0
+        self.time_base_ = 10.0
+        self.start_angle_base_ = 0.0
+
+    def set_config(self, config):
+        self.config_ = config
+        self.config_dict_ = json.loads(self.config_)
+        self.amplitude_base_ = self.config_dict_["CYCLE_AMPLITUDE_BASE"]
+        self.time_base_ = self.config_dict_["CYCLE_TIME_BASE"]
+        self.start_angle_base_ = self.config_dict_["CYCLE_START_ANGLE_BASE"]
+
+    def config(self):
+        return self.config_
+
+    def eval(self, value, times):
+        return value + self.amplitude_base_ * math.sin((2 * math.pi * times / self.time_base_) + self.start_angle_base_)

cycle_test.py

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+import pandas as pd
+from cycle import cycle
+
+filepath = "D:/python_project/TurbineExhaustTemperatureTheromcouple-FourWorkingCondition.xlsx"
+origin_data = pd.read_excel(filepath,sheet_name='s4_ttxd')
+row_len = origin_data.shape[0]
+cow_len = origin_data.shape[1]
+disturb_data = origin_data
+algorithm_step = cycle()
+
+cow_name = "ttxd_12_1"
+algorithm_step.set_config('{"CYCLE_AMPLITUDE_BASE": 200 , "CYCLE_TIME_BASE": 5 ,"CYCLE_START_ANGLE_BASE": 3.14}')
+# algorithm_step.set_config('{"CYCLE_TIME_BASE": 5 }')
+for i in range(0,row_len):
+    disturb_data.loc[i,cow_name]=algorithm_step.eval(origin_data.loc[i,cow_name],i)
+print(disturb_data)
+
+
+# 以下均为测试性能用
+print(algorithm_step.config_)

cycle_test_csv.py

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

excursion.py

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+from algorithm import algorithm
+import json
+
+
+class excursion(algorithm):
+    def __init__(self):
+        self.config_dict_ = None
+        self.config_ = None
+        self.amplitude_base_ = 0.0
+
+    def set_config(self, config):
+        self.config_ = config
+        self.config_dict_ = json.loads(self.config_)
+        self.amplitude_base_ = self.config_dict_["STEP_AMPLITUDE_BASE"]
+
+    def config(self):
+        return self.config_
+
+    def eval(self, value):
+        return value + self.amplitude_base_

main.py

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+# 这是一个示例 Python 脚本。
+
+# 按 Shift+F10 执行或将其替换为您的代码。
+# 按 双击 Shift 在所有地方搜索类、文件、工具窗口、操作和设置。
+
+from step import step
+
+algorithm_step = step()
+
+algorithm_step.set_config('{"STEP_AMPLITUDE_BASE": 1.3}')
+
+for x in range(1, 101):
+    print("%d %f" % (x, algorithm_step.eval(x)))

step.py

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+from algorithm import algorithm
+import json
+
+
+class step(algorithm):
+    def __init__(self):
+        self.config_dict_ = None
+        self.config_ = None
+        self.amplitude_base_ = 0.0
+
+    def set_config(self, config):
+        self.config_ = config
+        self.config_dict_ = json.loads(self.config_)
+        self.amplitude_base_ = self.config_dict_["STEP_AMPLITUDE_BASE"]
+
+    def config(self):
+        return self.config_
+
+    def eval(self, value):
+        return value * self.amplitude_base_

step_test.py

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+import pandas as pd
+from step import step
+
+filepath = "D:/python_project/TurbineExhaustTemperatureTheromcouple-FourWorkingCondition.xlsx"
+origin_data = pd.read_excel(filepath,sheet_name='s4_ttxd')
+row_len = origin_data.shape[0]
+cow_len = origin_data.shape[1]
+disturb_data = origin_data
+algorithm_step = step()
+cow_name = "ttxd_12_1"
+algorithm_step.set_config('{"STEP_AMPLITUDE_BASE": 1.3}')
+for i in range(0,row_len):
+    disturb_data.loc[i,cow_name]=algorithm_step.eval(origin_data.loc[i,cow_name])
+print(disturb_data)

white_noise.py

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+from random import random
+import numpy as np
+from algorithm import algorithm
+import json
+
+
+class white_noise(algorithm):
+    def __init__(self):
+        self.config_dict_ = None
+        self.config_ = None
+        self.standard_deviation_base_ = 0.0
+
+    def set_config(self, config):
+        self.config_ = config
+        self.config_dict_ = json.loads(self.config_)
+        self.standard_deviation_base_ = self.config_dict_["WHITE_NOISE_STANDARD_DEVIATION_BASE"]
+
+    def config(self):
+        return self.config_
+
+    def eval(self, value):
+        return value + np.random.normal(loc=0.0, scale=self.standard_deviation_base_, size=None)

white_noise_test.py

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+import pandas as pd
+from white_noise import white_noise
+
+filepath = "D:/python_project/TurbineExhaustTemperatureTheromcouple-FourWorkingCondition.xlsx"
+origin_data = pd.read_excel(filepath,sheet_name='s4_ttxd')
+row_len = origin_data.shape[0]
+cow_len = origin_data.shape[1]
+disturb_data = origin_data
+algorithm_step = white_noise()
+# cow_name = "ttxd_12_1"
+algorithm_step.set_config('{"WHITE_NOISE_STANDARD_DEVIATION_BASE": 100}')
+# for i in range(0,row_len):
+#     disturb_data.loc[i,cow_name]=algorithm_step.eval(origin_data.loc[i,cow_name])
+# print(disturb_data)
+print(algorithm_step.config_)