I have created this plot in pyplot which has a slider to view a certain range of the data.
import random
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.25)
y_values = [random.randrange(20, 40, 1) for _ in range(40)]
x_values = [i for i in range(40)]
l, = plt.plot(x_values, y_values)
plt.axis([0, 9, 20, 40])
ax_time = plt.axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, 30, valinit=0)
def update(val):
pos = s_time.val
ax.axis([pos, pos+10, 20, 40])
fig.canvas.draw_idle()
s_time.on_changed(update)
#plt.show()
matplotlib.use('TkAgg')
root = Tk.Tk()
root.wm_title("Embedding in TK")
canvas = FigureCanvasTkAgg(fig, master=root)
canvas.show()
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
Tk.mainloop()
The problem is, it seems unresponsive when embedded in a tkinter window, although when I show it with plt.show() (meaning the code after this, is commented) works correctly. What is the right way to do this?
I figured this one out. The figure needs to be added to the canvas before creating the plot.
import random
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
matplotlib.use('TkAgg')
root = Tk.Tk()
root.wm_title("Embedding in TK")
fig = plt.Figure()
canvas = FigureCanvasTkAgg(fig, root)
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
ax=fig.add_subplot(111)
fig.subplots_adjust(bottom=0.25)
y_values = [random.randrange(20, 40, 1) for _ in range(40)]
x_values = [i for i in range(40)]
ax.axis([0, 9, 20, 40])
ax.plot(x_values, y_values)
ax_time = fig.add_axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, 30, valinit=0)
def update(val):
pos = s_time.val
ax.axis([pos, pos+10, 20, 40])
fig.canvas.draw_idle()
s_time.on_changed(update)
Tk.mainloop()
Related
I have a tkinter GUI where I'm plotting live data from a sensor using the matplotlib animation. When enough data are collected, a fitting ellipse is calculated. And this ellipse should then be plotted in the same figure as the recorded sensor data.
The original code is a bit lengthy, so here is a piece of working code that shows the problem. Currently the ellipse is drawn in a new window when the animation is stopped by button. Can someone explain me how to add this ellipse to the live plot figure in tkinter GUI?
import tkinter
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib import pyplot as plt, animation
from matplotlib.patches import Ellipse
import numpy as np
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
root = tkinter.Tk()
root.wm_title("Embedding in Tk")
fig = plt.Figure(dpi=100)
ax = fig.add_subplot(xlim=(0, 2), ylim=(-1, 1))
line, = ax.plot([], [], lw=2)
canvas = FigureCanvasTkAgg(fig, master=root)
canvas.draw()
def StopAnimation():
anim.pause()
plotEllipse()
def StartAnimation():
anim.resume()
buttonStop = tkinter.Button(master=root, text="Stop Animation", command=StopAnimation)
buttonStop.pack(side=tkinter.BOTTOM)
buttonStart = tkinter.Button(master=root, text="Start Animation", command=StartAnimation)
buttonStart.pack(side=tkinter.BOTTOM)
canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=1)
def plotEllipse():
ell= Ellipse((1,0), 1, 0.75, angle=45, edgecolor = 'red', facecolor='none', lw = 2)
fig1, ax1 = plt.subplots(1, 1, figsize=(10, 6))
ax1.add_artist(ell)
ax1.set_xlim(0, 2)
ax1.set_ylim(-1, 1)
plt.show()
def init():
line.set_data([], [])
return line,
def animate(i):
x = np.linspace(0, 2, 1000)
y = np.sin(2 * np.pi * (x - 0.01 * i))
line.set_data(x, y)
return line,
anim = animation.FuncAnimation(fig, animate, init_func=init,frames=200, interval=20, blit=True)
tkinter.mainloop()
i would have expected to plot into the tkinter gui figure with ax.add_artist(ell)
I am trying to create a interactive 3d plot that can be rotated, I was able to do this using the following, however I am unable to reset the orientation when I click on the home button. I tried all the answers posted before me none seem to work.
matplolib version - 3.2.2
import tkinter as tk
from tkinter import ttk
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
import numpy as np
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
np.random.seed(1968001)
def randrange(n, vmin, vmax):
'''
Helper function to make an array of random numbers having shape (n, )
with each number distributed Uniform(vmin, vmax).
'''
return (vmax - vmin) * np.random.rand(n) + vmin
fig = Figure()
# Unable to have rotation otherwise so defined this function
def func():
ax = fig.add_subplot(111, projection='3d')
n = 100
# For each set of style and range settings, plot n random points in the box
# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].
for m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:
xs = randrange(n, 23, 32)
ys = randrange(n, 0, 100)
zs = randrange(n, zlow, zhigh)
ax.scatter(xs, ys, zs, marker=m)
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
top = tk.Tk()
top_frame = ttk.Frame(top)
top_frame.pack()
canv = FigureCanvasTkAgg(fig, master=top_frame)
canv.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
func()
canv.draw()
toolbar = NavigationToolbar2Tk(canv, top_frame)
toolbar.update()
top.mainloop()
By home button this is what I mean
click here
Edit 1: I've changed the plt.figure to figure.Figure as pointed out by Henry Yik, but still, it's not working
I would like to make an equivalent of the function FuncAnimation from matplotlib.animation, in which I could control the current plotted data using the scrollbar.
Say you have a data array which contains data points to be plotted at each time i. When using FuncAnimation, you first need to define a function ( here animate(i) ) which will be called for each time i = 1 to len(data[:,0]) :
def animate(i):
ax.plot(data[i,:])
anim = FuncAnimation(fig, animate, interval=100, frames=len(data[:,0]))
plt.draw()
plt.show()
but you cannot control the time i, like with a play/stop functionality. What I would like to do is to call the function animate(i), with i being the position of the scrollbar.
I found this example ( using the events from matplotlib:
https://matplotlib.org/3.2.1/users/event_handling.html )
but the mpl_connect doesn't have a "scrollbar_event".
import tkinter
from random import randint
import matplotlib as plt
import numpy as np
from matplotlib.backends.backend_tkagg import (
FigureCanvasTkAgg, NavigationToolbar2Tk)
# Implement the default Matplotlib key bindings.
from matplotlib.backend_bases import key_press_handler
from matplotlib.figure import Figure
root = tkinter.Tk()
root.wm_title("Embedding in Tk")
#create figure
fig = Figure(figsize=(5, 4), dpi=100)
ax = fig.add_axes([0,0,1,1])
ax.imshow(np.array([[0,10],[23,40]]))
#create canvas with figure
canvas = FigureCanvasTkAgg(fig, master=root) # A tk.DrawingArea.
canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=1)
def on_key_press(event):
ax.clear()
ax.imshow(np.array([[randint(0,30),randint(0,30)],[randint(0,30),randint(0,30)]]))
canvas.draw_idle()
key_press_handler(event, canvas)
print("you pressed {}".format(event.key))
#connect canvas to event function
canvas.mpl_connect("key_press_event", on_key_press)
def _quit():
root.quit() # stops mainloop
root.destroy() # this is necessary on Windows to prevent
# Fatal Python Error: PyEval_RestoreThread: NULL tstate
button = tkinter.Button(master=root, text="Quit", command=_quit)
button.pack(side=tkinter.BOTTOM)
tkinter.mainloop()
Actually the scroll functionality is given by matplotlib widgets !!
The example below works fine :
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from myPytHeader import *
matplotlib.use('TkAgg')
root = Tk.Tk()
root.wm_title("Embedding in TK")
fig = plt.Figure(figsize=(8, 6))
canvas = FigureCanvasTkAgg(fig, root)
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
nDt = nbLines("grid.dat")
nDx = nbGridPoints("grid.dat")
grid = np.zeros( (nDt,nDx) ) ; loadData("grid.dat", grid)
valu = np.zeros( (nDt,nDx) ) ; loadData("valu.dat", valu)
ax=fig.add_subplot(111)
fig.subplots_adjust(bottom=0.25)
ax_time = fig.add_axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, nDt, valinit=0, valstep=1)
def update(val):
frame = int(s_time.val)
ax.clear()
ax.set(xlim=(-0.05, 1.05), ylim=(-0.05, 1.25))
ax.grid()
ax.scatter(grid[frame,:], valu[frame,:], color='b', marker='.')
fig.canvas.draw_idle()
s_time.on_changed(update)
Tk.mainloop()
After all these years I've found solutions to my problems here, I am in debt !!!
Here is the final solution I came with.
I hope it can be useful to someone someday somehow !!
import matplotlib
import numpy as np
import tkinter as tk
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
# load data
nDt = 1000
nDx = 400
grd = np.zeros( (nDt,nDx) )
val = np.zeros( (nDt,nDx) )
for t in np.arange(nDt):
for x in np.arange(nDx):
grd[t,x] = x / nDx
val[t,x] = (x / nDx) * (t/nDt) * np.sin(10 * 2*np.pi * (t-x)/nDt)
matplotlib.use('TkAgg')
root = tk.Tk()
root.wm_title("Embedding in TK")
fig = plt.Figure(figsize=(8, 6))
canvas = FigureCanvasTkAgg(fig, root)
canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
ax=fig.add_subplot(111)
fig.subplots_adjust(bottom=0.25)
ax.set(xlim=(-0.05, 1.05), ylim=(-1.05, 1.05))
ax.grid()
scat = ax.scatter(grd[0,:], val[0,:], color='b', marker='.')
ax_time = fig.add_axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, nDt, valinit=0, valstep=1)
i_anim = 0
i_relative = 0
i_current = 0
def updateGraph(i):
y_i = val[i,:]
scat.set_offsets(np.c_[grd[i,:], y_i])
def updateFromAnim(i):
global i_anim
global i_current
global i_relative
i_anim = i
i_current = i + i_relative
s_time.set_val(i_current)
updateGraph(i_current)
def updateFromScroll(val):
global i_anim
global i_current
global i_relative
i_relative = int(s_time.val) - i_anim
i_current = int(s_time.val)
updateGraph(i_current)
def onClick():
global anim_running
if anim_running:
anim.event_source.stop()
anim_running = False
else:
anim.event_source.start()
anim_running = True
start_button = tk.Button(root, text="START/STOP", command=onClick)
start_button.pack()
anim_running = True
anim = FuncAnimation(fig, updateFromAnim, interval=100, frames=nDt)
s_time.on_changed(updateFromScroll)
tk.mainloop()
Need help with matplotlib in tkinter, can't seem to get the entry to then show of the correct graph.
I would like to type in 'x**2' and show the graph for this function but it doesn't seem to work.
If anyone could help me out, I would appreciate it. Thanks in advance.
import tkinter as tk
from tkinter import *
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import numpy as np
import matplotlib
from matplotlib.figure import Figure
matplotlib.use('TkAgg')
screen = tk.Tk()
screen.title('Function Graph')
screen.geometry('350x200')
function = Entry(screen, width = 20)
function.place(x=123, y=92)
f_label = Label(screen, text='Plot Function: ')
f_label.place(x=145, y= 70)
def plot_g():
x = np.linspace(-3,3,100)
y = function.get()
new_w = tk.Toplevel(screen)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('zero')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
plt.grid()
plt.plot(x,y)
canvas = FigureCanvasTkAgg(fig, master=new_w)
canvas.draw()
canvas.get_tk_widget().pack(side = 'bottom', fill= BOTH, expand=True)
toolbar = NavigationToolbar2Tk(canvas, new_w)
toolbar.update()
f_button = Button(screen, text= 'Enter', command = plot_g)
f_button.place(x=160, y=120)
screen.mainloop()
I wanted to add some comments outside the plots. The code and figures are d below. The problem is that fig2 essentially the same but with the "text1" and "text2" cut off. Can anybody explain why or provide a better solution of adding texts outside the plot? Thanks a lot!
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import numpy as np
import Tkinter as Tk
root = Tk.Tk()
x = np.arange(0, 10, 1)
y = np.arange(0, 10, 1)
fig1 = plt.figure()
ax = fig1.add_subplot(111)
ax.plot(x,y)
textx = ax.get_xlim()[0]
texty = ax.get_ylim()[0]
ydist = ax.get_yticks()[1] - ax.get_yticks()[0]
ax.text(textx, texty-2*ydist, "text1")
ax.text(textx, texty-3*ydist, "text2")
fig1.show()
fig2 = plt.Figure()
ax2 = fig2.add_subplot(111)
ax2.plot(x,y)
textx = ax2.get_xlim()[0]
texty = ax2.get_ylim()[0]
ydist = ax2.get_yticks()[1] - ax2.get_yticks()[0]
ax2.text(textx, texty-2*ydist, "text1")
ax2.text(textx, texty-3*ydist, "text2")
canvas = FigureCanvasTkAgg(fig2, master=root)
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1.0)
canvas.show()
canvas.draw()
Tk.mainloop()