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Updated OPV_wx_GUI.py #13

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2a3f48c
Added a "zoom" window functionality that will show interactive plotly…
lenasush May 21, 2020
27a9ed9
Added functionality for zoom-in plotly graph and fixed average calcul…
lenasush May 21, 2020
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127 changes: 105 additions & 22 deletions OPV_wx_GUI.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,9 @@
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
from os import listdir
from PyQt5 import QtWebEngineWidgets
from PyQt5.QtCore import QUrl
from PyQt5.QtWidgets import QApplication
from scipy import stats
from scipy.interpolate import interp1d
from scipy.optimize import fmin
Expand All @@ -21,6 +24,7 @@
import os
import pandas as pd
import plotly.graph_objs as go
import plotly.offline
import sys
import wx
import wx.html
Expand Down Expand Up @@ -109,25 +113,68 @@ def __init__(self, parent, data, vals, number):

# Defining sizer:
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.hsizer = wx.BoxSizer(wx.HORIZONTAL)

# Defining the whole plotting area:
self.canvas = FigureCanvas(self, -1, self.figure)
self.sizer.Add(self.canvas, 1, wx.ALL | wx.ALIGN_TOP | wx.EXPAND)

# Defining a plotly plot for zoomed window:
self.fig = go.Figure()
self.fig.add_scatter(x=data[:, 0],
y=data[:, 2],
mode='lines+markers',
name='JV Curve',
marker_color='rgba(51, 0, 111, 0.2)',
marker_size=10,
marker_line_width=2)
self.fig.update_layout(title={'text': "JV Curve",
'x': 0.5,
'y': 0.95,
'xanchor': 'center',
'yanchor': 'top'},
xaxis=dict(range=[-0.2, 0.8],
showgrid=True,
zeroline=True,
zerolinewidth=2,
zerolinecolor='#4b2e83',
title='Voltage [V]',
linecolor='#4b2e83',
linewidth=2,
gridwidth=1,
gridcolor='#b7a57a'),
yaxis=dict(range=[-5, 20],
showgrid=True,
zeroline=True,
zerolinewidth=2,
zerolinecolor='#4b2e83',
title='Current Density [mA/cm^2]',
linecolor='#4b2e83',
linewidth=2,
gridwidth=1,
gridcolor='#b7a57a'),
font=dict(family='Rockwell',
size=18,
color='#4b2e83'),
paper_bgcolor='gainsboro',
plot_bgcolor='#ffffff')

# Added a checkbox for future including/excluding from calculation
# self.checkbox = wx.CheckBox(self, label='Check Box')
# self.Bind(wx.EVT_CHECKBOX, self.onChecked)
# self.sizer.Add(self.checkbox, 0, wx.ALIGN_RIGHT | wx.ALIGN_BOTTOM)

# Added a button for excluding the plot from average:
# self.button = wx.Button(self, -1, "Exclude from average")
# self.button.Bind(wx.EVT_BUTTON, self.OnClicked)
# self.sizer.Add(self.button, 0, wx.ALIGN_RIGHT | wx.ALIGN_BOTTOM)
self.zbutton = wx.Button(self, -1, "Zoom-in")
self.zbutton.Bind(wx.EVT_BUTTON, self.OnZoom)
self.hsizer.Add(self.zbutton, 0, wx.LEFT, 5)

# Added a toggle button for including/excluding the plot from average:
self.button = wx.ToggleButton(self, -1, "Exclude from average")
self.button.Bind(wx.EVT_TOGGLEBUTTON, self.OnClicked)
self.sizer.Add(self.button, 0, wx.ALIGN_RIGHT | wx.ALIGN_BOTTOM)
self.hsizer.Add(self.button, 0, wx.LEFT, 5)

self.sizer.Add(self.hsizer, 0, wx.ALIGN_RIGHT | wx.ALIGN_BOTTOM)

# Finishing the sizer setup:
self.SetSizer(self.sizer)
Expand All @@ -149,6 +196,32 @@ def OnClicked(self, event):
# checkbox = event.GetEventObject()
# print(checkbox.GetLabel(), ' is clicked', checkbox.GetValue())

def OnZoom(self, event):
self.win = PlotlyViewer(self.fig)


# Class that makes the plotly zoom-in chart to appear:
class PlotlyViewer(QtWebEngineWidgets.QWebEngineView):
def __init__(self, fig, exec=True):
# Create a QApplication instance or use the existing one if it exists
self.app = QApplication.instance() if QApplication.instance() \
else QApplication(sys.argv)

super().__init__()

self.file_path = os.path.abspath(os.path.join(os.path.dirname(
__file__), "temp.html"))
plotly.offline.plot(fig, filename=self.file_path, auto_open=False)
self.load(QUrl.fromLocalFile(self.file_path))
self.setWindowTitle("Zoom-in")
self.show()

if exec:
self.app.exec_()

def closeEvent(self, event):
os.remove(self.file_path)


# Created a scrollable panel of 8 panels:
class ScrolledPanel(scrolled.ScrolledPanel):
Expand Down Expand Up @@ -257,9 +330,9 @@ def onClick(self, vals):
filename = "output.csv"
global flags
print(flags)
# Calculating the average of only "included" plots using the
# "numpy dot product" finction to find a dot product between a
# given column and flag values (either 0 or 1):
# Calculating the average of only "included" plots
# Way # 1: using the "numpy dot product" finction to find a dot product
# between a given column and flag values (either 0 or 1):
self.vals[8][0] = np.dot([item[0] for item in self.vals][0:8],
flags)/sum(flags)
self.vals[8][1] = np.dot([item[1] for item in self.vals][0:8],
Expand All @@ -268,25 +341,18 @@ def onClick(self, vals):
flags)/sum(flags)
self.vals[8][3] = np.dot([item[3] for item in self.vals][0:8],
flags)/sum(flags)
# In order to add a column of device index including the 'average' I am
# converting the data type to string and self.vals to array:
self.vals = np.array(self.vals, dtype=str)
self.vals = np.insert(self.vals, [0],
[['1'], ['2'], ['3'], ['4'], ['5'], ['6'],
['7'], ['8'], ['Average']],
axis=1)

'''
Second option for the same calculation (currently commented out:

# Way # 2:
# First creating zero values for the average. Without this step after
# each click and un-click of the "include/exlude" button and export,
# the new everage will incorporate not only charts with flag=1,
# but also the previous average value:

"""
self.vals[8][0] = 0
self.vals[8][1] = 0
self.vals[8][2] = 0
self.vals[8][3] = 0

for i in range(0, 8):
if flags[i] == 1:
self.vals[8][0] += self.vals[i][0]
Expand All @@ -297,7 +363,19 @@ def onClick(self, vals):
self.vals[8][1] /= sum(flags)
self.vals[8][2] /= sum(flags)
self.vals[8][3] /= sum(flags)
'''
"""

# In order to add a column of device index including the 'average' I am
# converting the data type to string and self.vals to array:
self.vals = np.array(self.vals)
self.vals = np.array(self.vals)
if self.vals.shape[1] == 4:
self.vals = np.append(self.vals,
[[1], [2], [3], [4], [5], [6],
[7], [8], [0]],
axis=1)
else:
pass

# if sum(flags) != 8:
# self.vals[8][0] *= 8
Expand All @@ -314,8 +392,13 @@ def onClick(self, vals):
# self.vals[8][1] /= sum(flags)
# self.vals[8][2] /= sum(flags)
# self.vals[8][3] /= sum(flags)
np.savetxt(filename, self.vals, delimiter=",", fmt='%s',
header='Device, PCE, Voc, Jsc, FF')
output = pd.DataFrame(self.vals,
columns=['PCE', 'Voc', 'Jsc', 'FF', 'Device'],
dtype=str)
output['Device'].iloc[8] = 'Average'
output.to_csv(filename)
# np.savetxt(filename, output, delimiter=",", fmt='%s',
# header='PCE, Voc, Jsc, FF, Device')


# Genetal class for a pop-up window:
Expand Down Expand Up @@ -479,4 +562,4 @@ def OnFiles(self, event):
app = wx.App(redirect=False)
frame = Main()
frame.Show()
app.MainLoop()
app.MainLoop()