class MyFrame(wx.Frame):
def __init__(self, parent, id, trial_values, outsider_points,
channel_number, trial_number, channel_mean, channel_std_der,
y_min, y_max, stdX):
wx.Frame.__init__(self,
parent,
id,
'scrollable plot',
style=wx.DEFAULT_FRAME_STYLE ^ wx.RESIZE_BORDER,
size=(800, 400))
self.panel = wx.Panel(self, -1)
self.fig = Figure((5, 4), 75)
self.canvas = FigureCanvasWxAgg(self.panel, -1, self.fig)
self.scroll_range = len(trial_values)
self.canvas.SetScrollbar(wx.HORIZONTAL, 0, 5, self.scroll_range)
sizer = wx.BoxSizer(wx.VERTICAL)
sizer.Add(self.canvas, -1, wx.EXPAND)
self.panel.SetSizer(sizer)
self.panel.Fit()
self.outsider_points = outsider_points
self.bursts_x = list(map(lambda x: x[0], self.outsider_points))
self.bursts_y = list(map(lambda x: x[1], self.outsider_points))
self.stdX = stdX
self.y_min = y_min
self.y_max = y_max
self.channel_mean = channel_mean
self.channel_std_der = channel_std_der
self.trial_values = trial_values
self.init_data()
self.init_plot(channel_number, trial_number)
self.canvas.Bind(wx.EVT_SCROLLWIN, self.OnScrollEvt)
def init_data(self):
self.x = []
for i in range(len(self.trial_values)):
self.x.append(i)
# Extents of data sequence:
self.i_min = 0
# self.i_max = len(self.t)
self.i_max = len(self.trial_values)
# Size of plot window:
self.i_window = len(self.trial_values)
# Indices of data interval to be plotted:
self.i_start = 0
self.i_end = self.i_start + self.i_window
def init_plot(self, channel_number, trial_number):
self.axes = self.fig.add_subplot(111)
self.plot_data = \
self.axes.plot(self.x[self.i_start:self.i_end],
self.trial_values[self.i_start:self.i_end])[0]
self.axes.set_ylim(min(self.y_min, -self.stdX * self.channel_std_der),
self.y_max)
self.axes.axhline(y=self.channel_mean, linewidth=0.3, color='r')
self.axes.axhline(y=self.stdX * self.channel_std_der,
linewidth=0.3,
color='g',
linestyle='--')
self.axes.axhline(y=-self.stdX * self.channel_std_der,
linewidth=0.3,
color='g',
linestyle='--')
self.axes.set_ylabel('Amplitudes')
self.axes.set_xlabel('Relative Timestamp')
self.axes.set_title('Channel ' + str(channel_number) + ' Trial ' +
str(trial_number) + ' Snapshot')
def draw_plot(self):
# Update data in plot:
self.plot_data.set_xdata(self.x[self.i_start:self.i_end])
self.plot_data.set_ydata(self.trial_values[self.i_start:self.i_end])
# Adjust plot limits:
self.axes.set_xlim((min(self.x[self.i_start:self.i_end]),
max(self.x[self.i_start:self.i_end])))
self.axes.set_ylim(min(self.y_min, -self.stdX * self.channel_std_der),
self.y_max)
self.axes.axhline(y=self.channel_mean, linewidth=0.3, color='r')
self.axes.axhline(y=self.stdX * self.channel_std_der,
linewidth=0.3,
color='g',
linestyle='--')
self.axes.axhline(y=-self.stdX * self.channel_std_der,
linewidth=0.3,
color='g',
linestyle='--')
# self.axes.scatter(self.bursts_x, self.bursts_y, c='black')
for i in range(0, len(self.bursts_x), 2):
point1 = [self.bursts_x[i], self.bursts_y[i]]
point2 = [self.bursts_x[i + 1], self.bursts_y[i + 1]]
x_values = [point1[0], point2[0]]
y_values = [point1[1], point2[1]]
if (all(i > self.channel_mean for i in y_values)):
y_values = [
self.stdX * self.channel_std_der,
self.stdX * self.channel_std_der
]
else:
y_values = [
-self.stdX * self.channel_std_der,
-self.stdX * self.channel_std_der
]
self.axes.plot(x_values, y_values, color='black')
self.axes.scatter(x_values, y_values, c='black')
# Redraw:
self.canvas.draw()
def update_scrollpos(self, new_pos):
self.i_start = self.i_min + new_pos
self.i_end = self.i_min + self.i_window + new_pos
self.canvas.SetScrollPos(wx.HORIZONTAL, new_pos)
self.draw_plot()
def OnScrollEvt(self, event):
evtype = event.GetEventType()
if evtype == wx.EVT_SCROLLWIN_THUMBTRACK.typeId:
pos = event.GetPosition()
self.update_scrollpos(pos)
elif evtype == wx.EVT_SCROLLWIN_LINEDOWN.typeId:
pos = self.canvas.GetScrollPos(wx.HORIZONTAL)
self.update_scrollpos(pos + 1)
elif evtype == wx.EVT_SCROLLWIN_LINEUP.typeId:
pos = self.canvas.GetScrollPos(wx.HORIZONTAL)
self.update_scrollpos(pos - 1)
elif evtype == wx.EVT_SCROLLWIN_PAGEUP.typeId:
pos = self.canvas.GetScrollPos(wx.HORIZONTAL)
self.update_scrollpos(pos - 10)
elif evtype == wx.EVT_SCROLLWIN_PAGEDOWN.typeId:
pos = self.canvas.GetScrollPos(wx.HORIZONTAL)
self.update_scrollpos(pos + 10)
else:
print("unhandled scroll event, type id:", evtype)
class MyFrame(wx.Frame):
"""
Creates a GUI class that displays data for an 8x8 set of electrodes
with the corners missing.
Main View: Scrollable data for each electrode is displayed according
to the placement of electrodes in the 8x8 arrangement
Zoom in View: Scrollable data for a single electrode is displayed
with MatPlotLib options such as saving data
"""
def __init__(self, parent, id, data, time, samprate, resolution):
#Specify electrode numbers and electrodes that are missed
#In this specific implementation we have
#8x8 set of electrodes, with corners missing (0,7,56,63)
self.empty=[0,7,56,63]
self.electrodeX=8
self.electrodeY=8
if len(data)!=(self.electrodeX*self.electrodeY-len(self.empty)):
print "You do not have enough data for electrodes."
print "There should be data for 64 electrodes"
raise ValueError
#Data Variables
self.data=data
self.time=time
self.samprate=samprate
self.resolution = resolution
self.stepsize = self.samprate / resolution
#Adjust Display Size
tmp = wx.DisplaySize()
tmp2=(tmp[0],tmp[1]-100)
wx.Frame.__init__(self,parent, id, 'LSCE - Overall Plot',(0,0),
tmp2)
self.panel = wx.Panel(self, -1)
self.dimensions = self.GetSize()
self.xoffset = 50
self.yoffset = 100
self.labelwidth = 140
#canvas, graphs, scrollbar
self.fig = Figure((5, 4), 75)
self.canvas = FigureCanvasWxAgg(self.panel, -1, self.fig)
self.scroll_range = len(data[0])-time*samprate + 1
print self.scroll_range
self.canvas.SetScrollbar(wx.HORIZONTAL, 0, max(1,self.scroll_range/20),
self.scroll_range)
self.graphs = []
sizer = wx.BoxSizer(wx.VERTICAL)
sizer.Add(self.canvas, -1, wx.EXPAND)
self.panel.SetSizer(sizer)
self.panel.Fit()
self.lastupdate=datetime.datetime.utcnow()
self.init_data()
self.init_plot()
self.Layout()
#Bind Events, Scrollbar & Button Press
self.canvas.Bind(wx.EVT_SCROLLWIN_THUMBTRACK, self.OnScrollEvt)
self.canvas.Bind(wx.EVT_SCROLLWIN_THUMBRELEASE, self.OnScrollStop)
self.canvas.Bind(wx.EVT_SCROLLWIN_LINEDOWN, self.OnScrollLeft_small)
self.canvas.Bind(wx.EVT_SCROLLWIN_LINEUP, self.OnScrollRight_small)
self.canvas.Bind(wx.EVT_SCROLLWIN_PAGEDOWN, self.OnScrollLeft_large)
self.canvas.Bind(wx.EVT_SCROLLWIN_PAGEUP, self.OnScrollRight_large)
self.canvas.mpl_connect('button_press_event',self.onclick)
def init_data(self):
"""
Parses data to be fed into visualization.
"""
# Generate x axis limits and data intervals:
self.dt = 1.0/self.samprate
self.t = arange(0,float(len(self.data[0]))/self.samprate,self.dt)
# Extents of data sequence:
self.i_min = 0
self.i_max = len(self.t)
# Size of plot window:
self.i_window = self.time*self.samprate
# Indices of data interval to be plotted:
self.i_start = 0
self.i_end = self.i_start + self.i_window
def init_plot(self):
"""
Creates 8x8 Data Plots
"""
#Start Time End Time Label Positioning
self.label1x=self.xoffset
self.labely=self.dimensions[1]-self.yoffset
self.label2x=self.dimensions[0]-self.xoffset-self.labelwidth
#Start Time End Time Labels
self.startTime = wx.TextCtrl(self.panel, value="Start Time: "+
(float(self.i_start)/self.samprate).__repr__()+"s", pos=(self.label1x, self.labely), size=(self.labelwidth,-1))
self.endTime = wx.TextCtrl(self.panel, value="End Time: "+
(float(self.i_end)/self.samprate).__repr__()+"s", pos=(self.label2x, self.labely), size=(self.labelwidth,-1))
#creating each sub plot
self.axes=[]
self.graphs = []
arrayoffset=0
for j in range (self.electrodeX * self.electrodeY):
if j not in self.empty:
self.axes.append(self.fig.add_subplot(self.electrodeX,self.electrodeY,j+1))
self.axes[j].yaxis.set_major_locator(matplotlib.ticker.NullLocator())
self.axes[j].xaxis.set_major_locator(matplotlib.ticker.NullLocator())
self.graphs.append(
self.axes[j].plot(self.t[self.i_start:self.i_end:max(1,self.stepsize)],
self.data[j-arrayoffset][self.i_start:self.i_end:max(1,self.stepsize)])[0])
else:
self.axes.append(0)
self.graphs.append(0)
arrayoffset=arrayoffset+1
self.canvas.draw()
def draw_plot(self, resAdj = 1.0):
"""
Updates the section of data displayed according to scrolling event
resAdj: gives the fraction of the designated resolution to display at. ie 1 being the original resolution and 0.5 being half the resolution
"""
# print self.stepsize
temp = self.stepsize
self.stepsize = int(self.stepsize/resAdj)
# Adjust plot limits:
arrayoffset=0
for i in range (self.electrodeX*self.electrodeY):
if i not in self.empty:
# Update data in plot:
self.graphs[i].set_xdata(self.t[self.i_start:self.i_end:max(1,self.stepsize)])
self.graphs[i].set_ydata(self.data[i-arrayoffset][self.i_start:self.i_end:max(1,self.stepsize)])
self.axes[i].set_xlim(self.t[self.i_start], self.t[self.i_end])
self.axes[i].set_ylim((min(self.data[i-arrayoffset][self.i_start:self.i_end:max(1,self.stepsize)]),
max(self.data[i-arrayoffset][self.i_start:self.i_end:max(1,self.stepsize)])))
else:
arrayoffset+=1
self.stepsize = temp
# Redraw:
self.canvas.draw()
self.startTime.Refresh()
self.endTime.Refresh()
def ScrollPlots(self):
#Update the label values and set the plot ranges.
self.i_start = self.i_min + self.canvas.GetScrollPos(wx.HORIZONTAL)
self.i_end = self.i_min + self.i_window + self.canvas.GetScrollPos(wx.HORIZONTAL)
self.startTime.ChangeValue("Start Time: " + (float(self.i_start)/self.samprate).__repr__()+"s")
self.endTime.ChangeValue("End Time: " + (float(self.i_end)/self.samprate).__repr__()+"s")
def OnScrollRight_small(self, event):
self.canvas.SetScrollPos(wx.HORIZONTAL, self.canvas.GetScrollPos(wx.HORIZONTAL)-self.i_window/4, True)
self.ScrollPlots()
self.draw_plot()
def OnScrollLeft_small(self, event):
self.canvas.SetScrollPos(wx.HORIZONTAL, self.canvas.GetScrollPos(wx.HORIZONTAL)+self.i_window/4, True)
self.ScrollPlots()
self.draw_plot()
def OnScrollRight_large(self, event):
self.canvas.SetScrollPos(wx.HORIZONTAL, self.canvas.GetScrollPos(wx.HORIZONTAL)-self.i_window, True)
self.ScrollPlots()
self.draw_plot()
def OnScrollLeft_large(self, event):
self.canvas.SetScrollPos(wx.HORIZONTAL, self.canvas.GetScrollPos(wx.HORIZONTAL)+self.i_window, True)
self.ScrollPlots()
self.draw_plot()
def OnScrollEvt(self, event):
"""
Handles Graph Scrolling
"""
if((datetime.datetime.utcnow()-self.lastupdate).microseconds>750000):
self.draw_plot(0.1)
self.lastupdate = datetime.datetime.utcnow()
#Set new scroll position
self.canvas.SetScrollPos(wx.HORIZONTAL, event.GetPosition(), True)
#Update the indicies of the plots:
self.ScrollPlots()
def OnScrollStop(self, event):
"""
Handles Graph Scrolling
"""
self.draw_plot()
def onclick(self, event):
"""
When a graph is clicked on, handles the creation of a zoomed in
view of that graph (Zoom in View)
"""
#loop through all plots to check which one was clicked
i=0
arrayoffset=0
while i < self.electrodeX*self.electrodeY:
if i not in self.empty:
if event.inaxes == self.axes[i]:
fig2 = plt.figure()
ax_single = fig2.add_subplot(111)
#input in data and graph section/ limits
ax_single.plot(self.t, self.data[i-arrayoffset], 'b-')
ax_single.set_xlim([self.i_start/self.samprate,self.i_end/self.samprate])
ax_single.set_autoscale_on(False)
ax_single.set_ylabel('Millivolts')
ax_single.set_xlabel('Time in Seconds')
#Plot Naming According to Electrode Position
if (i+1)%self.electrodeX != 0 :
rowno = ((i+1)/self.electrodeX)+1
else:
rowno=(i+1)/self.electrodeX
if (i+1)%self.electrodeX ==0 :
colno=self.electrodeX
else:
colno= (i+1)%self.electrodeX
fig2.canvas.set_window_title('Plot '+ rowno.__repr__() +
" x "+colno.__repr__())
fig2.show()
break
else:
arrayoffset+=1
i+=1
