I have written a piece of code where I have a simple GUI with an canvas. On this canvas I draw a Matplot. The Matplot is updated every second with data from an SQ Lite DB which I fill with some fake Sensor information (just for testing at the moment).
My Problem was that the redrawing of the canvas causes my window/gui to lag every second. I even tried to update the plot in another thread. But even there I get an lag.
With my newest Code i got most of my things working. Threading helps to prevent my GUI/Window from freezing while the Canvas is updated.
The last thing I miss is to make it Thread safe.
This is the message I get:
RuntimeError: main thread is not in main loop
Here is my newest working code with threading:
from tkinter import *
import random
from random import randint
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import time
import threading
from datetime import datetime
continuePlotting = False
def change_state():
global continuePlotting
if continuePlotting == True:
continuePlotting = False
else:
continuePlotting = True
def data_points():
yList = []
for x in range (0, 20):
yList.append(random.randint(0, 100))
return yList
def app():
# initialise a window and creating the GUI
root = Tk()
root.config(background='white')
root.geometry("1000x700")
lab = Label(root, text="Live Plotting", bg = 'white').pack()
fig = Figure()
ax = fig.add_subplot(111)
ax.set_ylim(0,100)
ax.set_xlim(1,30)
ax.grid()
graph = FigureCanvasTkAgg(fig, master=root)
graph.get_tk_widget().pack(side="top",fill='both',expand=True)
# Updated the Canvas
def plotter():
while continuePlotting:
ax.cla()
ax.grid()
ax.set_ylim(0,100)
ax.set_xlim(1,20)
dpts = data_points()
ax.plot(range(20), dpts, marker='o', color='orange')
graph.draw()
time.sleep(1)
def gui_handler():
change_state()
threading.Thread(target=plotter).start()
b = Button(root, text="Start/Stop", command=gui_handler, bg="red", fg="white")
b.pack()
root.mainloop()
if __name__ == '__main__':
app()
Here the idea without a thread:
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import tkinter as tk
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import sqlite3
from datetime import datetime
from random import randint
class MainApplication(tk.Frame):
def __init__(self, parent, *args, **kwargs):
tk.Frame.__init__(self, parent, *args, **kwargs)
self.parent = parent
root.update_idletasks()
f = Figure(figsize=(5,5), dpi=100)
x=1
ax = f.add_subplot(111)
line = ax.plot(x, np.sin(x))
def animate(i):
# Open Database
conn = sqlite3.connect('Sensor_Data.db')
c = conn.cursor()
# Create some fake Sensor Data
NowIs = datetime.now()
Temperature = randint(0, 100)
Humidity = randint(0, 100)
# Add Data to the Database
c = conn.cursor()
# Insert a row of data
c.execute("insert into Sensor_Stream_1 (Date, Temperature, Humidity) values (?, ?, ?)",
(NowIs, Temperature, Humidity))
# Save (commit) the changes
conn.commit()
# Select Data from the Database
c.execute("SELECT Temperature FROM Sensor_Stream_1 LIMIT 10 OFFSET (SELECT COUNT(*) FROM Sensor_Stream_1)-10")
# Gives a list of all temperature values
x = 1
Temperatures = []
for record in c.fetchall():
Temperatures.append(str(x)+','+str(record[0]))
x+=1
# Setting up the Plot with X and Y Values
xList = []
yList = []
for eachLine in Temperatures:
if len(eachLine) > 1:
x, y = eachLine.split(',')
xList.append(int(x))
yList.append(int(y))
ax.clear()
ax.plot(xList, yList)
ax.set_ylim(0,100)
ax.set_xlim(1,10)
ax.grid(b=None, which='major', axis='both', **kwargs)
label = tk.Label(root,text="Temperature / Humidity").pack(side="top", fill="both", expand=True)
canvas = FigureCanvasTkAgg(f, master=root)
canvas.get_tk_widget().pack(side="left", fill="both", expand=True)
root.ani = animation.FuncAnimation(f, animate, interval=1000)
if __name__ == "__main__":
root = tk.Tk()
MainApplication(root).pack(side="top", fill="both", expand=True)
root.mainloop()
Here is my DB Schema:
CREATE TABLE `Sensor_Stream_1` (
`Date` TEXT,
`Temperature` INTEGER,
`Humidity` INTEGER
);
Your GUI process must not run in any thread. only the dataacquisition must be threaded.
When needed , the data acquired are transfered to the gui process (or the gui process notified from new data available) . I may need to use a mutex to share data resource between acquisition thread and gui (when copying)
the mainloop will look like :
running = True
while running:
root.update()
if data_available:
copydata_to_gui()
root.quit()
I had the same problem with tkinter and using pypubsub events was my solution. As comments above suggested, you have to run your calculation in another thread, then send it to the gui thread.
import time
import tkinter as tk
import threading
from pubsub import pub
lock = threading.Lock()
class MainApplication(tk.Frame):
def __init__(self, parent, *args, **kwargs):
tk.Frame.__init__(self, parent, *args, **kwargs)
self.parent = parent
self.label = tk.Label(root, text="Temperature / Humidity")
self.label.pack(side="top", fill="both", expand=True)
def listener(self, plot_data):
with lock:
"""do your plot drawing things here"""
self.label.configure(text=plot_data)
class WorkerThread(threading.Thread):
def __init__(self):
super(WorkerThread, self).__init__()
self.daemon = True # do not keep thread after app exit
self._stop = False
def run(self):
"""calculate your plot data here"""
for i in range(100):
if self._stop:
break
time.sleep(1)
pub.sendMessage('listener', text=str(i))
if __name__ == "__main__":
root = tk.Tk()
root.wm_geometry("320x240+100+100")
main = MainApplication(root)
main.pack(side="top", fill="both", expand=True)
pub.subscribe(main.listener, 'listener')
wt = WorkerThread()
wt.start()
root.mainloop()
This function is called every second, and it is outside the normal refresh.
def start(self,parent):
self.close=False
self.Refresh(parent)
def Refresh(self,parent):
'''your code'''
if(self.close == False):
frame.after( UpdateDelay*1000, self.Refresh, parent)
The function is called alone, and everything that happens inside it does not block the normal operation of the interface.
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