eagleEggs

# ######################################################################### ###
# ###########                 NETWORK CONTROLLER                ########### ###
# ######################################################################### ###

class Networking(object):
    def __init__(self, server_ip, server_port, server_password,
                 server_data, object_pass):
        self.server_ip = server_ip
        self.server_password = server_password
        self.server_port = server_port

eagleEggs

Need to investigate these errors (happens rarely and usually after running threaded tests):

Traceback (most recent call last):
  File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\tkinter\__init__.py", line 329, in __del__
    if self._tk.getboolean(self._tk.call("info", "exists", self._name)):
RuntimeError: main thread is not in main loop


 File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37\lib\tkinter\__init__.py", line 1992, in wm_withdraw
    return self.tk.call('wm', 'withdraw', self._w)

eagleEggs

# REDESIGN 11/12/18

# MAIN: Three images across row
maindisplay = [[sg.T("")],[sg.Button(image_filename = "main_config.png", key = "config"), sg.Button(image_filename = "main_build.png", key = "build"), sg.Button(image_filename = "main_test.png", key = "test")],
              [sg.ReadButton('', image_filename="license.png", key = "license"), sg.T("", size=(37,1)), sg.ReadButton('', image_filename = "exit.png", key = "exit")]]

layout = [[sg.Column(maindisplay)]]

##########################
###      GUI VARS      ###

eagleEggs

Commented below:

eagleEggs

layout =  [[sg.TabGroup([[
			sg.Tab('General Settings', tab1, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Database Settings', tab2, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Custom App Settings', tab3, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Graphing', tab4, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Site Data', tab10, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Scratchboard', tab11, border_width =0, title_color = "#282923", background_color = "#282923"),
			sg.Tab('Screenshots', tab5, title_color = "#282923", background_color = "#282923"),
		  	sg.Tab('Reporting', tab6, title_color = "#282923", background_color = "#282923"),
		  	sg.Tab('Logging', tab7, title_color = "#282923", background_color = "#282923"),

eagleEggs

colm = [[sg.T("", background_color = "#282923")],[sg.T('Topanga ∩(^-^)∩ Test Anatomy', text_color = "#666463", background_color = "#282923", justification = "center"),
		sg.ReadButton("Create a Topanga", border_width=0), sg.ReadButton("Open Project Folder", border_width=0), sg.ReadButton("Load", border_width=0), sg.ReadButton("Save", border_width=0),sg.ReadButton("Quit", border_width=0)],
		[sg.T("")],
		[sg.ProgressBar(10, orientation='h', size=(65,20), key='progress')],
		[sg.ProgressBar(10, orientation='h', size=(65,10), key='progress2', bar_color=("#56D8EF", "#56D8EF"))],
		[sg.T("", key = "step_status", background_color = "#282923", text_color = "#666463")]]
    
    
LookAndFeel():

eagleEggs

for image in fnames:
	filename = os.path.join(folder, image)
	image_elem = sg.Image(data = get_img_data(filename, first = True))
  
  
col5 =  [[sg.ReadButton("Generate")],[sg.T("")],
        	[image_elem]]
          
          

eagleEggs

import PySimpleGUI as sg
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasAgg
import matplotlib.backends.tkagg as tkagg
import tkinter as Tk

"""
Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
Basic steps are:

eagleEggs

import matplotlib
matplotlib.use('TkAgg')
import matplotlib as mpl 
import matplotlib.pyplot as plt 
import pandas as pd
import pylab
import seaborn as sns
from pandas.plotting import scatter_matrix
import numpy as np
from matplotlib.ticker import NullFormatter

eagleEggs

Setting up the following will enable running a notebook from CLI and create a plotly image from the generated graph:

CLI:
sudo jupyter nbconvert --execute notebook.ipynb

Python:
At top of notebook: offline.init_notebook_mode()

After defining data and figure:
offline.iplot(fig, filename='graph', image='png')