def __init__(self, parent):
tk.Frame.__init__(self, parent)
# simulation_figure = plt.figure(figsize=(7, 7))
# membrane_axis = simulation_figure.add_subplot(311)
figure, (self.membrane_axis, self.conductance_axis, self.gate_axis) = \
plt.subplots(3, 1, gridspec_kw={'height_ratios': [3, 2, 2]}, figsize=(7, 11))
self.membrane_axis.set_ylabel("Membrane potential (mV)",
fontsize=AXIS_LABEL_SIZE)
self.membrane_axis.set_ylim([-30, 120])
self.current_axis = self.membrane_axis.twinx()
self.current_axis.set_ylabel("Input current (uA/cm2)")
self.current_axis.set_ylim([-20, 100])
# conductance_axis = simulation_figure.add_subplot(312)
self.conductance_axis.set_ylabel("Conductance (mS/cm\u00b2)",
fontsize=AXIS_LABEL_SIZE)
# gate_axis = simulation_figure.add_subplot(313)
self.gate_axis.set_ylabel("fraction of channels",
fontsize=AXIS_LABEL_SIZE)
self.gate_axis.legend(("m gate", "h gate", "n gate"),
loc="lower right",
prop=font_gate_legend,
frameon=False,
borderpad=0,
handletextpad=0,
labelspacing=0)
self.canvas = FigureCanvasTkAgg(figure, master=self)
print(figure)
print(self)
toolbar = NavToolbar(self.canvas, self)
toolbar.pack(side=tk.BOTTOM)
self.canvas.draw()
self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=1)
figure.tight_layout()
self.plot_first = False
self.lines = [None, None, None, None, None, None, None, None]
class GraphFrame(tk.Frame):
def __init__(self, master_frame, data: sensor_node_data.SensorHubData,
type):
tk.Frame.__init__(self, master=master_frame)
self.config(bg='white')
self.plotted_lines = [
] # type: list # to hold lines to update with new data
self.data = data
self.figure_bed = plt.figure(figsize=FIGURE_SIZE)
self.axis = plt.subplot(111)
x_format = mdates.DateFormatter("%H:%M")
# self.figure_bed.autofmt_xdate()
self.axis.xaxis.set_major_formatter(x_format)
self.axis.format_coord = lambda x, y: "" # remove the coordinates in the toolbox
# set the limits of the frame
start_time = datetime.now()
self.axis.set_xlim([
start_time - timedelta(minutes=15),
start_time + timedelta(minutes=5)
])
if type == 'Temperature':
self.axis.set_ylim([15, 100])
self.axis.set_xlabel("Time", fontsize=12)
self.axis.set_ylabel(type, fontsize=12)
self.canvas = FigureCanvasTkAgg(self.figure_bed, master=self)
self.canvas._tkcanvas.config(highlightthickness=0)
toolbox_frame = tk.Frame(self)
toolbox_frame.pack(side=tk.BOTTOM)
self.toolbar = NavToolbar(self.canvas, toolbox_frame)
self.toolbar.pack(side=tk.BOTTOM)
self.canvas.draw()
self.canvas.get_tk_widget().pack(side='left', fill=tk.BOTH, expand=1)
self.lines = [None, None, None]
def update(self):
# print('lines: ', self.lines)
# print('num_data points = ', self.data.sensors[0].plot_index)
for i, line in enumerate(self.lines):
data_end = self.data.sensors[i].plot_index
time_series = self.data.sensors[i].time_series[:data_end]
color_series = self.data.sensors[i].color_index[:data_end]
# print("color series: ", i, color_series)
if self.lines[i]:
# print('setind data: ', time_series)
line.set_ydata(color_series)
line.set_xdata(time_series)
# print('set data: ', color_series)
# print(time_series)
else:
new_line, = self.axis.plot(time_series, color_series)
self.lines[i] = new_line # TODO: does line = new_line work
self.axis.relim()
self.axis.autoscale_view(True, True, True)
now = datetime.now()
self.axis.set_xlim(
[now - timedelta(minutes=15), now + timedelta(minutes=5)])
# self.axis.set_ylim([np.amin(color_series), now + timedelta(minutes=5)])
if color_series.any():
print('y min:', np.amin(color_series))
print('y max:', np.amax(color_series))
self.canvas.draw()
def update_old(self):
print("update")
if self.data.sensors[0].current_index == 0:
return # no data
data_end0 = self.data.sensors[0].current_index - 1
data_end1 = self.data.sensors[1].current_index - 1
print('indexes: ', data_end0, data_end1)
t_series1 = self.data.sensors[0].raw_color_data['time'][:data_end0]
t_series2 = self.data.sensors[1].raw_color_data['time'][:data_end1]
# t_series3 = self.data.sensors[2].raw_color_data['time']
color_series1 = self.data.sensors[0].color_index[:data_end0]
color_series2 = self.data.sensors[1].color_index[:data_end1]
# color_series3 = self.data.sensors[2].color_index
print('time1: ', t_series1)
print('data1: ', color_series1)
if self.line1:
self.line1.set_ydata(color_series1)
self.line1.set_xdata(t_series1)
else:
self.line1, = self.axis.plot(t_series1, color_series1)
if self.line2:
self.line2.set_ydata(color_series1)
self.line2.set_xdata(t_series1)
else:
self.line2, = self.axis.plot(t_series1, color_series1)
print(self.line1)
self.axis.relim()
self.axis.autoscale_view(True, True, True)
self.canvas.draw()
