From 30a38b69372c06b923b7a0c62aea2aa450718547 Mon Sep 17 00:00:00 2001
From: sbosse <sbosse@uni-bremen.de>
Date: Wed, 28 Aug 2024 21:43:13 +0200
Subject: [PATCH] Wed 28 Aug 21:38:52 CEST 2024

---
 src/SimNDT/graphics/mplWidget.py | 135 +++++++++++++++++++++++++++++++
 1 file changed, 135 insertions(+)
 create mode 100644 src/SimNDT/graphics/mplWidget.py

diff --git a/src/SimNDT/graphics/mplWidget.py b/src/SimNDT/graphics/mplWidget.py
new file mode 100644
index 0000000..21adc22
--- /dev/null
+++ b/src/SimNDT/graphics/mplWidget.py
@@ -0,0 +1,135 @@
+#!/usr/bin/env python
+# encoding: utf-8
+"""
+pltWidget.py
+
+Created by Miguel Molero on 2013-09-20.
+Copyright (c) 2013 MMolero. All rights reserved.
+"""
+
+from __future__ import unicode_literals
+import sys, os, random
+
+os.environ['QT_API'] = 'pyside'
+
+import matplotlib
+matplotlib.use('Qt4Agg')
+matplotlib.rcParams['backend.qt4']='PySide'
+from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
+from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
+from matplotlib.figure import Figure
+
+
+from PySide.QtGui	import *
+import numpy as np
+
+
+class NavigationToolbar(NavigationToolbar):
+    # only display the buttons we need
+	print (sys.platform)
+
+class MplCanvas(FigureCanvas):
+	def __init__(self, parent=None, width=5, height=4, dpi=100):
+
+		self.fig  = Figure(figsize=(width, height), dpi=dpi)
+		self.ax   = self.fig.add_subplot(111)
+
+		self.fig.patch.set_facecolor('white')
+
+		FigureCanvas.__init__(self, self.fig)
+		self.setParent(parent)
+		FigureCanvas.updateGeometry(self)
+		self.setMinimumSize(250,250)
+
+
+class PlotDialog(QDialog):
+	
+
+	def __init__(self, parent=None, width=6, height=5, dpi=100):
+		super(PlotDialog,self).__init__(parent)
+		self.parent = parent
+		
+		self.mpl = MplCanvas(self, width=width, height=height, dpi=dpi)
+		self.mpl_toolbar = NavigationToolbar(self.mpl, self)
+		
+		layout = QVBoxLayout()
+		layout.addWidget(self.mpl)
+		layout.addWidget(self.mpl_toolbar,0)
+		
+		self.setLayout(layout)
+		
+		
+		self.mpl.fig.patch.set_facecolor('white')
+		
+		for item in ([self.mpl.ax.title, self.mpl.ax.xaxis.label, self.mpl.ax.yaxis.label] +
+		             self.mpl.ax.get_xticklabels() + self.mpl.ax.get_yticklabels()):
+		    item.set_fontsize(10)
+		
+		
+		self.setWindowFlags(self.windowFlags() )
+		self.setWindowTitle(self.tr("Plot Inspection"))
+		self.setMinimumSize(250,250)
+		self.setMaximumSize(2000,1500)
+		
+		
+		
+class PlotInline(QDialog):
+	
+	def __init__(self, parent=None):
+		super(PlotInline, self).__init__(parent)
+		
+		self.mpl = MplCanvas(self, width=6, height=2, dpi=100)
+		layout = QVBoxLayout()
+		layout.addWidget(self.mpl)
+		self.setLayout(layout)
+		
+	
+		self.mpl.fig.patch.set_facecolor('lightgray')
+		for item in ([self.mpl.ax.title, self.mpl.ax.xaxis.label, self.mpl.ax.yaxis.label] +
+		             self.mpl.ax.get_xticklabels() + self.mpl.ax.get_yticklabels()):
+			item.set_fontsize(10)
+			#item.set_color('white')
+			
+			
+		#self.mpl.ax.spines['bottom'].set_color('white')
+		#self.mpl.ax.spines['top'].set_color('white')
+		#self.mpl.ax.spines['left'].set_color('white')
+		#self.mpl.ax.spines['right'].set_color('white')
+		
+		self.setWindowFlags(self.windowFlags() )
+		self.setWindowTitle(self.tr("Receiver Signal"))
+		self.setMinimumSize(250,250)
+		self.setMaximumSize(2000,1500)				
+		self.resize(900,350)
+		
+		
+	def init(self, sig, SimulationTime):
+		lenght = np.size(sig[:,0])
+		self.time = np.linspace(0,SimulationTime, lenght)*1e6
+		
+		self.data = list()
+		self.plot, = self.mpl.ax.plot([], [], color='green', linewidth=2)
+		
+		self.min = -0.01
+		self.max =  0.01		
+		
+		self.mpl.ax.patch.set_facecolor('lightgray')
+		
+		self.mpl.ax.set_ylim(self.min, self.max)
+		self.mpl.ax.set_xlim(0, self.time[-1])
+		
+		self.mpl.ax.grid(True, color='black')
+		self.mpl.ax.set_title("Time Signal", fontsize = 10)
+		self.mpl.ax.set_xlabel("Time ($\mu$s)")
+		self.mpl.ax.set_ylabel("Amplitude")
+
+	def update(self, value):
+		self.data.append(value)
+		N = len(self.data)
+		self.plot.set_data(self.time[0:N], self.data)
+		vmin = np.min([np.min(self.data),self.min]) 
+		vmax = np.max([np.max(self.data), self.max])
+		self.mpl.ax.set_ylim(vmin,vmax)
+		self.mpl.draw()
+		
+