From 38e1956850006f51aa88b465712510a11bdd56d9 Mon Sep 17 00:00:00 2001
From: "Tu, Ethan" <tuethan@msu.edu>
Date: Wed, 15 Apr 2020 20:03:07 -0400
Subject: [PATCH] Delete pk_gui.ipynb
---
Examples/pk_gui.ipynb | 652 ------------------------------------------
1 file changed, 652 deletions(-)
delete mode 100644 Examples/pk_gui.ipynb
diff --git a/Examples/pk_gui.ipynb b/Examples/pk_gui.ipynb
deleted file mode 100644
index e6c24ef..0000000
--- a/Examples/pk_gui.ipynb
+++ /dev/null
@@ -1,652 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-"""pk_GUI is a tool to compare, optimize, and visualize
- two compartment models of perfusion kinetics"""
-### import everything
-import glob
-import pathlib
-import os
-import tkinter as tk
-from tkinter import Button, Label, ttk, Frame, StringVar, Scale, Grid, Entry, Tk
-import numpy as np
-import matplotlib.pyplot as plt
-
-from scipy.integrate import solve_ivp
-from matplotlib.backends.backend_tkagg import (
- FigureCanvasTkAgg, NavigationToolbar2Tk)
-# Implement the default Matplotlib key bindings.
-from matplotlib.backend_bases import key_press_handler
-from matplotlib.figure import Figure
-from pk_two_comp import pk_two_comp as pk2c
-
-
-class StartPage():
- """The StartPage class is the first page of the pk_GUI application.
- It has 4 buttons: Compare, Optimize, Visualize, and Exit Application.
- Each button will create a new window leading to the specified action.
- Exit will exit the whole application.
- """
-
- def __init__(self, root):
- """Initializing the class with tkinter window object root
- Parameters
- ----------
- root : tkinter object
- The Window which will show the application
- Attributes
- -----------
- optimize_btn : tkinter button
- Clicking on the button leads to the optimizer application
- compare_btn : tkinter button
- Clicking on the button leads to the compare application.
- visualize_btn : tkinter button
- Clicking on the button leads to the vizualize application.
- quitMainWindow : tkinter button
- Clicking ont he button closes and exits the application.
- """
- self.root = root
- self.root.title('PK Optimizer Tool')
-
- # Calculating the center
- width = self.root.winfo_reqwidth()
- height = self.root.winfo_reqheight()
- wids = self.root.winfo_screenwidth()
- heights = self.root.winfo_screenheight()
- xval = (wids/2) - (width/2)
- yval = (heights/2) - (height/2)
- self.root.geometry('+%d+%d' % (xval, yval))
-
- # Making buttons
- self.label = Label(self.root,
- text="Please choose what application you'd like to explore: ",
- width=30, wraplength=200)
- self.label.grid(column=1, row=0, sticky='nwes')
- self.compare_btn = Button(
- self.root, text="Compare!", command=self.compare)
- self.compare_btn.grid(column=1, row=1, sticky='nwes')
-
- self.optimize_btn = Button(
- self.root, text="Optimize!", command=self.optimize)
- self.optimize_btn.grid(column=1, row=2, sticky='nwes')
-
- self.visualize_btn = Button(
- self.root, text="Visualize!", command=self.visualize)
- self.visualize_btn.grid(column=1, row=3, sticky='nwes')
-
- self.quit = Button(
- self.root, text="Exit Application", command=self.on_cancel)
- self.quit.grid(column=1, row=4, sticky='nwes')
-
- def compare(self):
- """Opens compare function."""
- my_gui = PkCompare(self)
-
- def optimize(self):
- """Opens optimizer function."""
- my_gui = PkOptimize(self)
-
- def visualize(self):
- """Opens visualize function."""
- my_gui = PkVisualize(self)
-
- def on_cancel(self):
- """Exits and closes window"""
- self.root.destroy()
-
-class PkOptimize(tk.Toplevel):
- """Initializes the pk_optimize application GUI"""
- def __init__(self, parent): # , master_root):
- """Initializes the pk_optimize application GUI
- User selects a dataset from the dropdown box.
- Pressing the load button will plot the data selected.
- Once data is loaded, give your initial guesses for parameter values.
- Press Optimize button, and the optimal values will be outputted.
-
- Attributes
- -----------
- wd : path
- Absolute path name to current directory. Defaults to ./Data
- filename : string
- Name of the data file you'd like to access
- time : double[]
- list of all timepoints
- aorta : double[]
- concentration of tracer in aorta (input function)
- myo : double[]
- concentration of tracer in myocardial tissue (conc_isf)
- Flow : double
- Flow is the flow of plasma through the blood vessel in mL/(mL*min). Defaults to 1/60.
- Vp : double
- Vp is the volume of plasma in mL. Defaults to 0.05.
- Visf : double
- Visf is the volume of interstitial fluid in mL. Defaults to 0.15.
- PS : double
- PS is the permeability-surface area constant in mL/(g*min). Defaults to 1/60.
- ymax : int
- Magnitude of Gamma-var peak.
- tmax : double
- Time of which highest peak in Gamma-var appears
- alpha : double
- Scale factor
- delay : double
- Delay to start Gamma-var curve.
-
- """
- super().__init__(name='pk Optimizer tool')
- self.parent = parent
-
- # Making mainfraim to center the window to the screen
- mainframe = ttk.Frame(self)
- #mainframe.grid(column=0, row=0, sticky=(N, W, E, S))
- mainframe.columnconfigure(0, weight=1)
- mainframe.rowconfigure(0, weight=1)
-
- # Calculating the center
- width = 1100
- height = 600
- wids = self.winfo_screenwidth()
- heights = self.winfo_screenheight()
- xval = (wids/2) - (width/2)
- yval = (heights/2) - (height/2)
- self.geometry('+%d+%d' % (xval, yval))
-
- self.pk = pk2c()
- self.geometry('1100x600')
- self.frame1 = Frame(self)
- self.frame2 = Frame(self, padx=10)
- self.frame3 = Frame(self)
- self.frame4 = Frame(self)
- self.frame5 = Frame(self)
- self.frame1.grid(column=0, row=1)
- self.frame2.grid(column=0, row=0)
- self.frame3.grid(column=2, row=1)
- self.frame4.grid(column=2, row=0)
- self.frame5.grid(column=1, row=0)
-
- if os.path.basename(os.path.normpath(pathlib.Path().absolute())) != 'Data':
- os.chdir(pathlib.Path('Data').absolute())
-
- # Get lists of files
- self.filenames = glob.glob('*.{}'.format('csv'))
- # Combobox creation
- self.chosen_file = tk.StringVar()
- self.file_combobox = ttk.Combobox(
- self.frame5, width=20, textvariable=self.chosen_file)
-
- # Adding combobox drop down list
- self.file_combobox['values'] = self.filenames
- self.file_combobox.grid(column=0, row=1)
- self.file_combobox.current(0)
-
- # Creating blank canvas to plot input function on
- self.fig1 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- self.canvas1 = FigureCanvasTkAgg(self.fig1, master=self.frame2)
- self.canvas1.get_tk_widget().grid(row=0, column=0)
- self.canvas1.draw()
-
- # Creating blank canvas to plot output function on
- self.fig2 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- self.canvas2 = FigureCanvasTkAgg(self.fig2, master=self.frame4)
- self.canvas2.get_tk_widget().grid(row=0, column=0)
- self.canvas2.draw()
-
- # Creating a bunch of labels and input boxes for initial guesses for parameters
- self.ymax_lbl = Label(self.frame1, text="ymax guess: ")
- self.ymax_lbl.grid(column=0, row=0)
- self.tmax_lbl = Label(self.frame1, text="tmax guess: ")
- self.tmax_lbl.grid(column=0, row=1)
- self.alpha_lbl = Label(self.frame1, text="alpha guess: ")
- self.alpha_lbl.grid(column=0, row=2)
- self.delay_lbl = Label(self.frame1, text="delay guess: ")
- self.delay_lbl.grid(column=0, row=3)
-
- self.ymax_input = Entry(self.frame1, width=50)
- self.ymax_input.grid(column=1, row=0)
- self.tmax_input = Entry(self.frame1, width=50)
- self.tmax_input.grid(column=1, row=1)
- self.alpha_input = Entry(self.frame1, width=50)
- self.alpha_input.grid(column=1, row=2)
- self.delay_input = Entry(self.frame1, width=50)
- self.delay_input.grid(column=1, row=3)
-
- self.ymax_opt_lbl = Label(self.frame1)
- self.ymax_opt_lbl.grid(column=2, row=0)
- self.tmax_opt_lbl = Label(self.frame1)
- self.tmax_opt_lbl.grid(column=2, row=1)
- self.alpha_opt_lbl = Label(self.frame1)
- self.alpha_opt_lbl.grid(column=2, row=2)
- self.delay_opt_lbl = Label(self.frame1)
- self.delay_opt_lbl.grid(column=2, row=3)
-
- self.flow_lbl = Label(self.frame3, text="flow guess: ")
- self.flow_lbl.grid(column=0, row=0)
- self.visf_lbl = Label(self.frame3, text="visf guess: ")
- self.visf_lbl.grid(column=0, row=1)
- self.baseline_lbl = Label(self.frame3, text="baseline guess: ")
- self.baseline_lbl.grid(column=0, row=2)
-
- self.flow_input = Entry(self.frame3, width=50)
- self.flow_input.grid(column=1, row=0)
- self.visf_input = Entry(self.frame3, width=50)
- self.visf_input.grid(column=1, row=1)
- self.baseline_input = Entry(self.frame3, width=50)
- self.baseline_input.grid(column=1, row=2)
-
- self.flow_opt_lbl = Label(self.frame3)
- self.flow_opt_lbl.grid(column=2, row=0)
- self.visf_opt_lbl = Label(self.frame3)
- self.visf_opt_lbl.grid(column=2, row=1)
- self.baseline_opt_lbl = Label(self.frame3)
- self.baseline_opt_lbl.grid(column=2, row=2)
-
- # Creating buttons to load data and perform optimization
- self.load_btn_text = tk.StringVar()
- self.load_btn = Button(
- master=self.frame5, textvariable=self.load_btn_text, command=self.load_data)
- self.load_btn_text.set("Load")
- self.load_btn.grid(column=0, row=2)
-
- self.opt_btn_text = tk.StringVar()
- self.opt_btn = Button(
- master=self.frame5, textvariable=self.opt_btn_text, command=self.perform_opt)
- self.opt_btn_text.set("Perform Optimization")
- self.opt_btn.grid(column=0, row=3)
-
- # Creating button to go back to main page
- self.back_btn = Button(
- master=self.frame5, text="Go Back", command=self.go_back)
- self.back_btn.grid(column=0, row=4)
-
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
-
- def load_data(self):
- """Loads in the data selected in the combobox."""
-
- file = self.file_combobox.get()
- self.pk.get_data(file)
-
- self.fig1.add_subplot(111).plot(self.pk.time, self.pk.aorta, 'bo')
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.fig1.canvas.draw()
-
- self.fig2.add_subplot(111).plot(self.pk.time, self.pk.myo, 'ro')
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.canvas2.draw_idle()
-
- def perform_opt(self):
- """Performs the optimization using the values taken from input boxes as inital guesses."""
-
- # Performs function fitting, outputs optimized parameters in opt
- opt = self.pk.input_func_fit([self.ymax_input.get(), self.tmax_input.get(),
- self.alpha_input.get(), self.delay_input.get()])
-
- # Shows opt in new labels
- self.ymax_opt_lbl.configure(text=opt[0])
- self.tmax_opt_lbl.configure(text=opt[1])
- self.alpha_opt_lbl.configure(text=opt[2])
- self.delay_opt_lbl.configure(text=opt[3])
-
- # Plots fitted gamma_var curve
- self.fig1.add_subplot(111).plot(np.arange(0, 25, 0.01),
- self.pk.gamma_var(np.arange(0, 25, 0.01),
- opt[0], opt[1], opt[2], opt[3]), 'k-')
- self.canvas1.draw_idle()
-
- # Performs function fitting, outputs optimized parameters in opt
- opt = self.pk.output_func_fit([self.flow_input.get(),
- self.visf_input.get(), self.baseline_input.get()])
-
- # Shows opt in new labels
- self.flow_opt_lbl.configure(text=opt[0])
- self.visf_opt_lbl.configure(text=opt[1])
- self.baseline_opt_lbl.configure(text=opt[2])
-
- # Plots fitted gamma_var curve
- deriv_sol = solve_ivp(self.pk.derivs, [0, 30],
- [0, 0], t_eval=self.pk.time)
- fit_myo = deriv_sol.y[0] + deriv_sol.y[1]
- self.fig2.add_subplot(111).plot(self.pk.time, fit_myo + opt[2], 'm-')
- self.canvas2.draw_idle()
-
- def go_back(self):
- """Closes the optimize application and leads you to the start page"""
- self.destroy()
-
-
-class PkCompare(tk.Toplevel):
- """Initializes the pkCompare application GUI"""
- def __init__(self, parent): # , master_root):
- """Initializes the pk_compare application GUI
- User can select a dataset from the dropdown menu and plot it.
- Plotting multiple datasets will overlay them.
- Navigation bar is provided to zoom in/out of the plot.
- """
- super().__init__(name='pk Optimizer tool')
- self.parent = parent
- self.legend = []
-
- # Making mainfraim to center the window to the screen
- mainframe = ttk.Frame(self)
- #mainframe.grid(column=0, row=0, sticky=(N, W, E, S))
- mainframe.columnconfigure(0, weight=1)
- mainframe.rowconfigure(0, weight=1)
-
- width = 1100
- height = 500
- wids = self.winfo_screenwidth()
- heights = self.winfo_screenheight()
- xval = (wids/2) - (width/2)
- yval = (heights/2) - (height/2)
- self.geometry('+%d+%d' % (xval, yval))
-
- self.pk = pk2c()
- self.geometry('1100x500')
- self.frame1 = Frame(self)
- self.frame2 = Frame(self, padx=10)
- self.frame3 = Frame(self)
- self.frame4 = Frame(self)
- self.frame5 = Frame(self)
- self.frame6 = Frame(self)
- self.frame7 = Frame(self)
- self.frame1.grid(column=0, row=2)
- self.frame2.grid(column=0, row=1)
- self.frame3.grid(column=2, row=2)
- self.frame4.grid(column=2, row=1)
- self.frame5.grid(column=1, row=1)
- self.frame6.grid(column=0, row=0)
- self.frame7.grid(column=2, row=0)
-
- if os.path.basename(os.path.normpath(pathlib.Path().absolute())) != 'Data':
- os.chdir(pathlib.Path('Data').absolute())
-
- # Get lists of files
- self.filenames = glob.glob('*.{}'.format('csv'))
- # Combobox creation
- self.chosen_file = tk.StringVar()
- self.file_combobox = ttk.Combobox(
- self.frame5, width=20, textvariable=self.chosen_file)
-
- # Adding combobox drop down list
- self.file_combobox['values'] = self.filenames
- self.file_combobox.grid(column=0, row=1)
- self.file_combobox.current(0)
-
- # Creating blank canvas to plot input function on
- self.fig1 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- self.canvas1 = FigureCanvasTkAgg(self.fig1, master=self.frame2)
- self.canvas1.get_tk_widget().grid(row=0, column=0)
- self.canvas1.draw()
- toolbar = NavigationToolbar2Tk(self.canvas1, self.frame6)
- toolbar.update()
-
- # Creating blank canvas to plot output function on
- self.fig2 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- self.canvas2 = FigureCanvasTkAgg(self.fig2, master=self.frame4)
- self.canvas2.get_tk_widget().grid(row=0, column=0)
- self.canvas2.draw()
- toolbar = NavigationToolbar2Tk(self.canvas2, self.frame7)
- toolbar.update()
-
- # Creating buttons to load data and perform optimization
- self.load_btn_text = tk.StringVar()
- self.load_btn = Button(
- master=self.frame5, textvariable=self.load_btn_text, command=self.load_data)
- self.load_btn_text.set("Load")
- self.load_btn.grid(column=0, row=2)
-
- # Creating button to go back to main page
- self.back_btn = Button(
- master=self.frame5, text="Go Back", command=self.go_back)
- self.back_btn.grid(column=0, row=4)
-
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
-
- def load_data(self):
- """Loads in the data selected in the combobox."""
- file = self.file_combobox.get()
- self.legend.append(file)
- self.pk.time = []
- self.pk.aorta = []
- self.pk.myo = []
- self.pk.get_data(file)
-
- self.fig1.add_subplot(111).plot(self.pk.time, self.pk.aorta)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.fig1.canvas.draw()
-
- self.fig2.add_subplot(111).plot(self.pk.time, self.pk.myo)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.canvas2.draw_idle()
-
- plt.legend(self.legend)
-
- def go_back(self):
- """Exits the compare window and goes back to the start page."""
- self.destroy()
-
-# ====================================================================
-
-
-class PkVisualize(tk.Toplevel):
- """Initializes the pkVisualize application GUI"""
- def __init__(self, parent): # , master_root):
- """Initializes the pk_visualize application GUI
- User can select a dataset from the dropdown menu and load it.
- Plotting multiple datasets will overlay them.
- Navigation bar is provided to zoom in/out of the plot.
- Using the sliders to change parameter values will result in different
- Cin and Cout curves. You must hit plot after every change to see it.
- """
-
- super().__init__(name='pk Optimizer tool')
- self.parent = parent
-
- # Making mainfraim to center the window to the screen
- mainframe = ttk.Frame(self)
- mainframe.columnconfigure(0, weight=1)
- mainframe.rowconfigure(0, weight=1)
-
- # Calculating the center
- width = 1280
- height = 500
- wids = self.winfo_screenwidth()
- heights = self.winfo_screenheight()
- xval = (wids/2) - (width/2)
- yval = (heights/2) - (height/2)
- self.geometry('+%d+%d' % (xval, yval))
-
- self.pk = pk2c()
- self.geometry('1280x500')
- self.frame1 = Frame(self)
- self.frame2 = Frame(self)
- self.frame3 = Frame(self)
- self.frame4 = Frame(self)
- self.frame5 = Frame(self)
-
- self.frame1.grid(column=1, row=0)
- self.frame2.grid(column=1, row=1)
- self.frame3.grid(column=2, row=1)
- self.frame4.grid(column=3, row=0)
- self.frame5.grid(column=3, row=1)
-
- if os.path.basename(os.path.normpath(pathlib.Path().absolute())) != 'Data':
- os.chdir(pathlib.Path('Data').absolute())
-
- # Get lists of files
- self.filenames = glob.glob('*.{}'.format('csv'))
- # Combobox creation
- self.chosen_file = tk.StringVar()
- self.file_combobox = ttk.Combobox(
- self.frame3, width=20, textvariable=self.chosen_file)
-
- # Adding combobox drop down list
- self.file_combobox['values'] = self.filenames
- self.file_combobox.grid(column=1, row=0)
- self.file_combobox.current(0)
-
- # Creating blank canvas to plot input function on
- self.fig1 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- # Creating blank canvas to plot output function on
- self.fig2 = plt.figure(figsize=(4.5, 4.5), dpi=100)
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
-
- self.canvas1 = FigureCanvasTkAgg(self.fig1, master=self.frame2)
- self.canvas1.get_tk_widget().grid(row=0, column=0)
- self.canvas1.draw()
- toolbar = NavigationToolbar2Tk(self.canvas1, self.frame1)
- toolbar.update()
-
- self.canvas2 = FigureCanvasTkAgg(self.fig2, master=self.frame5)
- self.canvas2.get_tk_widget().grid(row=0, column=0)
- self.canvas2.draw()
- toolbar = NavigationToolbar2Tk(self.canvas2, self.frame4)
- toolbar.update()
-
- # Creating a bunch of labels and input boxes for initial guesses for parameters
- self.ymax_lbl = Label(self.frame3, text="ymax: ")
- self.ymax_lbl.grid(column=0, row=1)
- self.tmax_lbl = Label(self.frame3, text="tmax: ")
- self.tmax_lbl.grid(column=0, row=2)
- self.alpha_lbl = Label(self.frame3, text="alpha: ")
- self.alpha_lbl.grid(column=0, row=3)
- self.delay_lbl = Label(self.frame3, text="delay: ")
- self.delay_lbl.grid(column=0, row=4)
-
- self.ymax_slider = Scale(
- self.frame3, from_=10, to=500, orient='horizontal', length=250, resolution=1)
- self.ymax_slider.set(250)
- self.ymax_slider.grid(column=1, row=1)
- self.tmax_slider = Scale(
- self.frame3, from_=0.0, to=20, orient='horizontal', length=250, resolution=0.5)
- self.tmax_slider.set(6)
- self.tmax_slider.grid(column=1, row=2)
- self.alpha_slider = Scale(
- self.frame3, from_=0, to=10, orient='horizontal', length=250, resolution=0.25)
- self.alpha_slider.set(2)
- self.alpha_slider.grid(column=1, row=3)
- self.delay_slider = Scale(
- self.frame3, from_=0, to=10, orient='horizontal', length=250, resolution=1)
- self.delay_slider.set(0)
- self.delay_slider.grid(column=1, row=4)
-
- self.flow_lbl = Label(self.frame3, text="flow:")
- self.flow_lbl.grid(column=0, row=6)
- self.visf_lbl = Label(self.frame3, text="visf:")
- self.visf_lbl.grid(column=0, row=7)
- self.baseline_lbl = Label(self.frame3, text="baseline: ")
- self.baseline_lbl.grid(column=0, row=8)
-
- self.flow_slider = Scale(
- self.frame3, from_=0, to=.1, orient='horizontal', length=250, resolution=0.0025)
- self.flow_slider.set(0.03)
- self.flow_slider.grid(column=1, row=6)
- self.visf_slider = Scale(
- self.frame3, from_=0, to=10, length=250, orient='horizontal', resolution=0.1)
- self.visf_slider.set(2)
- self.visf_slider.grid(column=1, row=7)
- self.baseline_slider = Scale(
- self.frame3, from_=20, to=80, length=250, orient='horizontal', resolution=1)
- self.baseline_slider.set(50)
- self.baseline_slider.grid(column=1, row=8)
-
- # Creating buttons to load data and perform optimization
- self.load_btn_text = tk.StringVar()
- self.load_btn = Button(
- master=self.frame3, textvariable=self.load_btn_text, command=self.load_data, padx=15)
- self.load_btn_text.set("Load")
- self.load_btn.grid(column=2, row=0)
-
- self.opt_btn_text = tk.StringVar()
- self.opt_btn = Button(
- master=self.frame3, textvariable=self.opt_btn_text, command=self.plot)
- self.opt_btn_text.set("Plot")
- self.opt_btn.grid(column=2, row=3)
-
- # Creating button to go back to main page
- self.back_btn = Button(
- master=self.frame3, text="Go Back", command=self.go_back)
- self.back_btn.grid(column=1, row=9)
-
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
-# #-------------------------------------------------------------
- def plot(self):
- """Plots Cin and Cout curve using parameters given from sliders."""
- file = self.file_combobox.get()
- self.pk.get_data(file)
-
- self.pk.ymax = self.ymax_slider.get()
- self.pk.tmax = self.tmax_slider.get()
- self.pk.alpha = self.alpha_slider.get()
- self.pk.delay = self.delay_slider.get()
-
- self.fig1.add_subplot(111).plot(np.arange(0, 25, 0.01),
- self.pk.gamma_var(np.arange(0, 25, 0.01),
- self.ymax_slider.get(),
- self.tmax_slider.get(),
- self.alpha_slider.get(),
- self.delay_slider.get()), 'k-')
-
- self.fig1.canvas.draw()
- self.pk.flow = self.flow_slider.get()
- self.pk.visf = self.visf_slider.get()
- self.pk.baseline = self.baseline_slider.get()
-
- # Plots fitted gamma_var curve
- deriv_sol = solve_ivp(self.pk.derivs, [0, 30],
- [0, 0], t_eval=self.pk.time)
- fit_myo = deriv_sol.y[0] + deriv_sol.y[1]
- self.fig2.add_subplot(111).plot(
- self.pk.time, fit_myo + self.pk.baseline, 'm-')
- self.canvas2.draw_idle()
-
- def load_data(self):
- """Loads in the data selected in the combobox."""
- file = self.file_combobox.get()
- self.pk.get_data(file)
-
- self.fig1.add_subplot(111).plot(self.pk.time, self.pk.aorta, 'bo')
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.fig1.canvas.draw()
-
- self.fig2.add_subplot(111).plot(self.pk.time, self.pk.myo, 'ro')
- plt.ylabel("Mass of Tracer (mg)")
- plt.xlabel("Time (sec)")
- self.canvas2.draw_idle()
-
- def go_back(self):
- """Exits the compare window and goes back to the start page."""
- self.destroy()
-
-
-# =================================================================================================
-if __name__ == "__main__":
- MainWindow = Tk()
- gui = StartPage(MainWindow)
- MainWindow.mainloop()
\ No newline at end of file
--
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