diff --git a/sentech/evaluation.py b/sentech/evaluation.py
new file mode 100644
index 0000000000000000000000000000000000000000..7bdb6cae2849e7e95b0ab0527a70126681a67b79
--- /dev/null
+++ b/sentech/evaluation.py
@@ -0,0 +1,237 @@
+import ipywidgets as widgets
+import matplotlib.pyplot as plt
+import pandas as pd
+import os
+import numpy as np
+
+import tkinter as tk
+from tkinter import filedialog
+import tkinter.messagebox
+
+def information_box(information):
+ #open dialog and hide the main window
+ root = tk.Tk()
+ root.withdraw()
+ root.attributes("-topmost", 1)
+
+ root.update()
+
+ #display meaagebox
+ tkinter.messagebox.showinfo(message=information,parent=root)
+ root.attributes("-topmost", 0)
+ root.destroy()
+
+def choose_folder():
+ root = tk.Tk()
+ root.withdraw()
+
+ root.attributes('-topmost', 1)#window stays above all other applications
+ root.update()
+
+ #choose nonemty folder
+ folder = tk.filedialog.askdirectory(parent = root)
+
+ while folder == '':
+ folder = tk.filedialog.askdirectory(parent = root)
+
+ root.destroy()
+ return folder
+
+def change_state(widgets_list):
+ for widget in widgets_list:
+ widget.disabled = not widget.disabled
+
+
+def get_device(file):
+ with open(file) as f:
+ lines = f.readlines()
+
+ if lines[1] == "System: SI ALD RWTH [ALD 007]\n":
+ return 'ALD'
+ elif lines[1] == "System: SI 500 RWTH Aachen [500-211]\n":
+ return 'ICP-CL'
+ elif lines[1] == "Anlage: SI 500 RWTH Aachen\n":
+ return 'ICP-FL'
+ else:
+ return "" #No device detected
+
+def read_file(file):
+ device = get_device(file)
+
+ if device == 'ALD':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[4]
+ df = pd.read_csv(files[0],sep ='\t',skiprows = 10,encoding = 'ANSI',index_col=False)
+ elif device == 'ICP-CL':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[4]
+ df = pd.read_csv(file,sep ='\t',skiprows = 10,encoding = 'ANSI',index_col=False)
+ elif device =='ICP-FL':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[3]
+ df = pd.read_csv(file,sep ='\t',skiprows = 9,encoding = 'ANSI',index_col=False)
+ else: #device = ""
+ start_time = None
+ df = None
+ return device,df,start_time
+
+
+
+dir_button = widgets.Button(description = 'Choose Folder')
+plot_button = widgets.Button(description = 'Plot')
+next_file = widgets.Button(description = 'Next File')
+previous_file = widgets.Button(description = 'Previous file')
+current_file = widgets.Text(description = 'Current File',disabled = True,value = 'No File Selected')
+x_axis = widgets.Dropdown(description = 'X-Axis',disabled = True)
+y_axis = widgets.Dropdown(description = 'Y-Axis')
+x_scale = widgets.Dropdown(description ='X-Scale',options = ['linear','log'],value = 'linear')
+y_scale = widgets.Dropdown(description ='Y-Scale',options = ['linear','log'],value = 'linear')
+output = widgets.Output()
+
+counter = 0
+folder = None
+files = []
+df = None
+start_time = None
+device = None
+
+buttons = widgets.HBox([dir_button,plot_button,previous_file,next_file])
+config = widgets.HBox([x_axis,y_axis,current_file])
+scale = widgets.HBox([x_scale,y_scale])
+
+display(buttons)
+display(config)
+display(scale)
+display(output)
+
+all_widgets = [dir_button,plot_button,previous_file,next_file,y_axis,x_scale,y_scale]
+def on_choose_folder_clicked(b):
+ global counter,folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ current_file.value = 'No File Selected'
+ folder = choose_folder()
+ os.chdir(folder) #change current working directory
+ files = os.listdir(os.getcwd()) #get the files from the chosen directory
+
+ # get all the valid files
+ valid_files = []
+ for file in files:
+ if file.endswith('.log') == True:
+ device = get_device(file)
+ if device != "":
+ valid_files.append(file)
+
+ files = valid_files.copy()
+
+ if len(files) == 0:
+ information_box("No Valid Files Detected! Please Choose a New Folder!")
+ else:
+ counter = 0
+ current_file.value = files[counter]
+ device,df,start_time = read_file(current_file.value)
+ options = list(df.columns.values)
+ x_axis.options = [options[0]] #only the first column
+ y_axis.options = options[1:] #the rest columns
+ x_axis.value = options[0]
+ y_axis.value = options[1]
+ change_state(all_widgets)
+
+dir_button.on_click(on_choose_folder_clicked)
+
+def on_previous_file_clicked(b):
+ global counter,folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ if counter>0:
+ counter = counter -1
+ current_file.value = files[counter]
+ device,df,start_time = read_file(current_file.value)
+ options = list(df.columns.values)
+ x_axis.options = [options[0]] #only the first column
+ y_axis.options = options[1:] #the rest columns
+ x_axis.value = options[0]
+ y_axis.value = options[1]
+ else:
+ information_box("There is no previous file!")
+ change_state(all_widgets)
+
+previous_file.on_click(on_previous_file_clicked)
+
+def on_next_file_clicked(b):
+ global counter,folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ if counter<len(files)-1:
+ counter = counter +1
+ current_file.value = files[counter]
+ device,df,start_time = read_file(current_file.value)
+ options = list(df.columns.values)
+ x_axis.options = [options[0]] #only the first column
+ y_axis.options = options[1:] #the rest columns
+ x_axis.value = options[0]
+ y_axis.value = options[1]
+ else:
+ information_box("There is no next file!")
+ change_state(all_widgets)
+
+next_file.on_click(on_next_file_clicked)
+
+def on_plot_clicked(b):
+ global counter,folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ if current_file.value != 'No File Selected': #there is a file to plot
+
+ fig,ax = plt.subplots()
+ fig.suptitle(device +" "+ start_time)
+
+ if x_scale.value == 'log':
+ x = np.absolute(df[x_axis.value])
+ ax.set_xscale('log')
+ else:
+ x = df[x_axis.value]
+ ax.set_xscale('linear')
+
+ if y_scale.value == 'log':
+ y = np.absolute(df[y_axis.value])
+ ax.set_yscale('log')
+ else:
+ y = df[y_axis.value]
+ ax.set_yscale('linear')
+
+ ax.set_xlabel(x_axis.value)
+ ax.set_ylabel(y_axis.value)
+
+ ax.plot(x,y,color = 'b')
+
+ mng = plt.get_current_fig_manager()
+ mng.window.state('zoomed')
+ mng.window.attributes('-topmost', 1)
+ plt.show(block= True)
+
+ else:
+ information_box("No file to plot!")
+ change_state(all_widgets)
+
+plot_button.on_click(on_plot_clicked)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/sentech/evaluation_multiple.py b/sentech/evaluation_multiple.py
new file mode 100644
index 0000000000000000000000000000000000000000..eecd8ed7c3a01b0bdb4c9bb65b34b479ee2e01a7
--- /dev/null
+++ b/sentech/evaluation_multiple.py
@@ -0,0 +1,190 @@
+import ipywidgets as widgets
+import matplotlib.pyplot as plt
+import pandas as pd
+import os
+import numpy as np
+
+import tkinter as tk
+from tkinter import filedialog
+import tkinter.messagebox
+
+def information_box(information):
+ #open dialog and hide the main window
+ root = tk.Tk()
+ root.withdraw()
+ root.attributes("-topmost", 1)
+
+ root.update()
+
+ #display meaagebox
+ tkinter.messagebox.showinfo(message=information,parent=root)
+ root.attributes("-topmost", 0)
+ root.destroy()
+
+def choose_folder():
+ root = tk.Tk()
+ root.withdraw()
+
+ root.attributes('-topmost', 1)#window stays above all other applications
+ root.update()
+
+ #choose nonemty folder
+ folder = tk.filedialog.askdirectory(parent = root)
+
+ while folder == '':
+ folder = tk.filedialog.askdirectory(parent = root)
+
+ root.destroy()
+ return folder
+
+def change_state(widgets_list):
+ for widget in widgets_list:
+ widget.disabled = not widget.disabled
+
+
+def get_device(file):
+ with open(file) as f:
+ lines = f.readlines()
+
+ if lines[1] == "System: SI ALD RWTH [ALD 007]\n":
+ return 'ALD'
+ elif lines[1] == "System: SI 500 RWTH Aachen [500-211]\n":
+ return 'ICP-CL'
+ elif lines[1] == "Anlage: SI 500 RWTH Aachen\n":
+ return 'ICP-FL'
+ else:
+ return "" #No device detected
+
+def read_file(file):
+ device = get_device(file)
+
+ if device == 'ALD':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[4]
+ df = pd.read_csv(files[0],sep ='\t',skiprows = 10,encoding = 'ANSI',index_col=False)
+ elif device == 'ICP-CL':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[4]
+ df = pd.read_csv(file,sep ='\t',skiprows = 10,encoding = 'ANSI',index_col=False)
+ elif device =='ICP-FL':
+ with open(file) as f:
+ lines = f.readlines()
+ start_time = lines[3]
+ df = pd.read_csv(file,sep ='\t',skiprows = 9,encoding = 'ANSI',index_col=False)
+ else: #device = ""
+ start_time = None
+ df = None
+ return device,df,start_time
+
+
+
+dir_button = widgets.Button(description = 'Choose Folder')
+plot_button = widgets.Button(description = 'Plot')
+instrument = widgets.Dropdown(description = 'Device', options =['ALD','ICP-CL','ICP-FL'],value = 'ALD')
+selected_files = widgets.SelectMultiple(description = "Selected files",layout=widgets.Layout(width='1000px', height='300px'))
+x_axis = widgets.Dropdown(description = 'X-Axis',disabled = True)
+y_axis = widgets.Dropdown(description = 'Y-Axis')
+x_scale = widgets.Dropdown(description ='X-Scale',options = ['linear','log'],value = 'linear')
+y_scale = widgets.Dropdown(description ='Y-Scale',options = ['linear','log'],value = 'linear')
+output = widgets.Output()
+
+counter = 0
+folder = None
+files = []
+df = None
+start_time = None
+device = None
+
+buttons = widgets.HBox([dir_button,plot_button,instrument,selected_files])
+config = widgets.HBox([x_axis,y_axis])
+scale = widgets.HBox([x_scale,y_scale])
+
+display(buttons)
+display(config)
+display(scale)
+display(output)
+
+all_widgets = [dir_button,plot_button,instrument,y_axis,x_scale,y_scale,selected_files]
+def on_choose_folder_clicked(b):
+ global folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ folder = choose_folder()
+ os.chdir(folder)
+ files = os.listdir(os.getcwd()) #get the files from the chosen directory
+
+
+ # get all the valid files
+ valid_files = []
+ for file in files:
+ if file.endswith('.log') == True:
+ device = get_device(file)
+ if device == instrument.value:
+ valid_files.append(file)
+
+ files = valid_files.copy()
+
+ if len(files) == 0:
+ information_box("No Valid Files Detected! Please Choose a New Folder!")
+ else:
+ device,df,start_time = read_file(files[0]) #read the first file for the columns
+ options = list(df.columns.values)
+ x_axis.options = [options[0]] #only the first column
+ y_axis.options = options[1:] #the rest columns
+ x_axis.value = options[0]
+ y_axis.value = options[1]
+ selected_files.options = files
+ selected_files.value = [files[0]]
+ change_state(all_widgets)
+
+dir_button.on_click(on_choose_folder_clicked)
+
+
+def on_plot_clicked(b):
+ global folder,files,df,start_time,device
+ with output:
+ change_state(all_widgets)
+ if len(selected_files.value) != 0:
+
+ fig,ax = plt.subplots()
+ fig.suptitle(device)
+
+ if x_scale.value == 'log':
+ ax.set_xscale('log')
+ else:
+ ax.set_xscale('linear')
+
+ if y_scale.value == 'log':
+ ax.set_yscale('log')
+ else:
+ ax.set_yscale('linear')
+
+ ax.set_xlabel(x_axis.value)
+ ax.set_ylabel(y_axis.value)
+
+ for file in selected_files.value:
+ device,df,start_time = read_file(file)
+ if x_scale.value == 'log':
+ x = np.absolute(df[x_axis.value])
+ else:
+ x = df[x_axis.value]
+ if y_scale.value == 'log':
+ y = np.absolute(df[y_axis.value])
+ else:
+ y = df[y_axis.value]
+
+ ax.plot(x,y,label=start_time.split(":",1)[1])
+
+ fig.legend()
+ mng = plt.get_current_fig_manager()
+ mng.window.state('zoomed')
+ mng.window.attributes('-topmost', 1)
+ plt.show(block= True)
+
+ else:
+ information_box("No file to plot!")
+ change_state(all_widgets)
+
+plot_button.on_click(on_plot_clicked)
\ No newline at end of file
diff --git a/sentech/interface_evaluation.ipynb b/sentech/interface_evaluation.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..50c63bc4e0ba655c0efe7bec05f073cd25a873c5
--- /dev/null
+++ b/sentech/interface_evaluation.ipynb
@@ -0,0 +1,101 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "e615178f-e424-4ae7-a128-5428c9b562d7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "aae77e15a6e24e338168af62d7e535ff",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Button(description='Choose Folder', style=ButtonStyle()), Button(description='Plot', style=Butt…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "bf091d232689478ba8dd2b126959a7ca",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Dropdown(description='X-Axis', disabled=True, options=(), value=None), Dropdown(description='Y-…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "4bd46526a6ed4548b0089c493119a0c3",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Dropdown(description='X-Scale', options=('linear', 'log'), value='linear'), Dropdown(descriptio…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "304c86207ef5404fb073748b8a0f989e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Output()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%matplotlib tk\n",
+ "%run evaluation.py"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "150e0b0a-18c8-4e4e-b3cc-41ba2c1a66ad",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sentech/interface_multiple.ipynb b/sentech/interface_multiple.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..fa52348680755f45f6a254e7a8ec20b0837f83f1
--- /dev/null
+++ b/sentech/interface_multiple.ipynb
@@ -0,0 +1,101 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "be13119e-5f63-4653-b7a4-6db7d23ac4e7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "18ef0a86be264babad8b9fd730e168b8",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Button(description='Choose Folder', style=ButtonStyle()), Button(description='Plot', style=Butt…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "db263f28efbf4417a0753a5946078434",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Dropdown(description='X-Axis', disabled=True, options=(), value=None), Dropdown(description='Y-…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "ad36b41387fb476f83c625be14fff5e6",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Dropdown(description='X-Scale', options=('linear', 'log'), value='linear'), Dropdown(descriptio…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "1f48650a48af455da3420f15ed912053",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Output()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%run evaluation_multiple.py\n",
+ "%matplotlib tk"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9517222f-dc7a-4660-8de9-e2ef0854a742",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}