def plot_init_dist(self):
'''
This function will plot the distribution of variable calls prior to running
the simulation. This will enable users to see whether the distributions are as they expected.
'''
self.get_distributions()
fig_list =[]
for var, values in self.simulation_dist.items():
fig = Figure(figsize = (3,3), facecolor=[240/255,240/255,237/255], tight_layout=True)
a = fig.add_subplot(111)
num_bins = 15
a.hist(values, num_bins, facecolor='blue', edgecolor='black', alpha=1.0)
a.set_title(var)
fig_list.append(fig)
if self.univar_row_num != 0:
row_num = 17
else:
row_num = 10
frame_canvas = Frame(self.current_tab)
frame_canvas.grid(row=row_num, column=1, columnspan = 3,pady=(5, 0))
frame_canvas.grid_rowconfigure(0, weight=1)
frame_canvas.grid_columnconfigure(0, weight=1)
frame_canvas.config(height = '10c', width='16c')
main_canvas = Canvas(frame_canvas)
main_canvas.grid(row=0, column=0, sticky="news")
main_canvas.config(height = '10c', width='16c')
vsb = Scrollbar(frame_canvas, orient="vertical", command=main_canvas.yview)
vsb.grid(row=0, column=2,sticky = 'ns')
main_canvas.configure(yscrollcommand=vsb.set)
figure_frame = Frame(main_canvas)
main_canvas.create_window((0, 0), window=figure_frame, anchor='nw')
figure_frame.config(height = '10c', width='16c')
row_num = 0
column = False
for figs in fig_list:
figure_canvas = FigureCanvasTkAgg(figs, master=figure_frame)
if column:
col = 4
else:
col = 1
figure_canvas.get_tk_widget().grid(
row=row_num, column=col,columnspan=2, rowspan = 5, pady = 5,padx = 8, sticky=E)
if column:
row_num += 5
column = not column
figure_frame.update_idletasks()
frame_canvas.config(width='16c', height='10c')
main_canvas.config(scrollregion=figure_frame.bbox("all"))
def plot_univ_on_GUI(self):
if not self.current_simulation:
return
if len(self.current_simulation.results) == self.last_results_plotted:
return
self.last_results_plotted = len(self.current_simulation.results)
current_var = self.current_simulation.vars_to_change[0]
if self.current_simulation.results:
results = concat(self.current_simulation.results).sort_index()
results = results[[d is not None for d in results['MFSP']]] # filter to make sure you aren't plotting None results
else:
results = DataFrame(columns=self.output_columns)
fig_list =[]
var_fig = Figure(figsize = (3,3), facecolor=[240/255,240/255,237/255], tight_layout=True)
a = var_fig.add_subplot(111)
num_bins = 15
_, bins, _ = a.hist(self.simulation_dist[current_var], num_bins, facecolor='white',edgecolor='black', alpha=1.0)
a.hist(results[current_var], bins=bins, facecolor='blue',edgecolor='black', alpha=1.0)
a.set_title(current_var)
fig_list.append(var_fig)
mfsp_fig = Figure(figsize = (3,3), facecolor=[240/255,240/255,237/255], tight_layout=True)
b = mfsp_fig.add_subplot(111)
b.hist(results['MFSP'], num_bins, facecolor='blue', edgecolor='black', alpha=1.0)
b.set_title('MFSP - ' + current_var)
fig_list.append(mfsp_fig)
figs_to_plot = self.finished_figures[:] + fig_list
if len(self.current_simulation.results) == self.current_simulation.tot_sim:
self.finished_figures += fig_list
if self.univar_row_num != 0:
row_num = 17
else:
row_num = 10
frame_canvas = Frame(self.current_tab)
frame_canvas.grid(row=row_num, column=1, columnspan = 3,pady=(5, 0))
frame_canvas.grid_rowconfigure(0, weight=1)
frame_canvas.grid_columnconfigure(0, weight=1)
frame_canvas.config(height = '10c', width='16c')
main_canvas = Canvas(frame_canvas)
main_canvas.grid(row=0, column=0, sticky="news")
main_canvas.config(height = '10c', width='16c')
vsb = Scrollbar(frame_canvas, orient="vertical", command=main_canvas.yview)
vsb.grid(row=0, column=1,sticky = 'ns')
main_canvas.configure(yscrollcommand=vsb.set)
figure_frame = Frame(main_canvas)
main_canvas.create_window((0, 0), window=figure_frame, anchor='nw')
figure_frame.config(height = '10c', width='16c')
row_num = 0
column = False
for figs in figs_to_plot:
figure_canvas = FigureCanvasTkAgg(figs, master=figure_frame)
if column:
col = 4
else:
col = 1
#figure_canvas.draw()
figure_canvas.get_tk_widget().grid(
row=row_num, column=col,columnspan=2, rowspan = 5, pady = 5,padx = 8, sticky=E)
#figure_canvas._tkcanvas.grid(row=row_num, column = 0,columnspan = 10, rowspan = 10, sticky= W+E+N+S, pady = 5,padx = 5)
if column:
row_num += 5
column = not column
figure_frame.update_idletasks()
frame_canvas.config(width='16c', height='10c')
# Set the canvas scrolling region
main_canvas.config(scrollregion=figure_frame.bbox("all"))
