Develop Reference

plot figure with different colors

I am trying to plot a figure that has many lines where each line represents a specifc temperature!
An example of what I want is here:
However, I bulit the following code:
x=pd.DataFrame(df1, columns =[0])
J = set(x.iloc[:,0])
print ('Length Temperature',len(J))
O = len(J)
M = len(df1.index)
print('Indexxxxx: ',df1.iloc[0:12+0,5])
for i in range(0,M,O):
figure3 = plt.Figure(figsize=(8, 6), dpi=80)
ax1 = figure3.add_subplot(111)
ax1.scatter(df1.iloc[i+1:M+i,5],df1.iloc[i+1:M+i,6], label = "Temperature " + str((df1.iloc[i, 0])))
scatter1 = FigureCanvasTkAgg(figure3, GraphWindow)
scatter1.get_tk_widget().pack(side=tk.LEFT, fill=tk.BOTH)
ax1.set_xlabel('Reduced Frequency [Hz]')
ax1.set_ylabel('Complex Shear Modulus G*')
ax1.set_yscale('log')
ax1.set_xscale('log')
ax1.set_title('MasterCurve ')
ax1.set_facecolor('whitesmoke')
figure3.patch.set_facecolor('whitesmoke')
ax1.spines['bottom'].set_color('black')
ax1.spines['top'].set_color('black')
ax1.spines['left'].set_color('black')
ax1.spines['right'].set_color('black')
toobar = NavigationToolbar2Tk(scatter1, GraphWindow)
ax1.legend(['(Temperature)' + str((df1.iloc[i, 0]))])
hold(True)
Everything is fine in this code but I am obtaining the lines in blue and the legend is the same for all of them.. This is what I obtained:
My question is, how can I change the color of each line and add new legend in each iteration in the above for loop.
Thanks in advance!

You want a single Figure, a single Axes and a single Canvas, and plot the different curves inside of them. In other words, you do too much inside the cycle…
import tkinter
from matplotlib.backends.backend_tkagg import (
FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.backend_bases import key_press_handler
from matplotlib.figure import Figure
import numpy as np
# frequencies and a poor man's dataframe
freq = np.logspace(-1.5, 1.5, 12)
G = {'ABCDE'[n-1]:np.logspace(n-4, n-2-n/4, 12) for n in range(1, 6)}
root = tkinter.Tk()
root.wm_title("Embedding in Tk")
fig = Figure(figsize=(6, 4), dpi=100, layout='constrained')
ax = fig.add_subplot()
# this is our loop on the different curves
lines = [ax.plot(freq, G[letter], '-o', label=letter)[0] for letter in G]
# titles, log axes, legend
ax.set_xlabel('Reduced Frequency [Hz]')
ax.set_ylabel('Complex Shear Modulus G*')
ax.set_yscale('log')
ax.set_xscale('log')
ax.set_title('MasterCurve ')
ax.set_facecolor('whitesmoke')
ax.legend()
connect the figure to a tkinter Canvas --- once
canvas = FigureCanvasTkAgg(fig, master=root) # A tk.DrawingArea.
canvas.draw()
# boilerplate
toolbar = NavigationToolbar2Tk(canvas, root, pack_toolbar=False)
toolbar.update()
canvas.mpl_connect("key_press_event", key_press_handler)
button_quit = tkinter.Button(master=root, text="Quit", command=root.destroy)
button_quit.pack(side=tkinter.BOTTOM)
toolbar.pack(side=tkinter.BOTTOM, fill=tkinter.X)
canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=True)
# let's show our curves
tkinter.mainloop()

Confusion over plt and plot to get a plot to display on canvas on a frame in Tkinter

I have been working on a gui to display a graph of values by two indices. That works fine as a standalone py file. I have made a gui that will successfully plot and clear a plot on a frame on canvas. I cannot figure out how to merge the two. The issue is in my plotData function (I have added and commented out a version of it that works very well with a simpler graph). I know my problem is in these lines below because I am using both plt and plot1, but now I don't know anymore what either of them do.
#fig1=plt.figure(1)
if len(blob0)>0:
plt.plot(blob0_et, blob0_acc, "s", color="blue", markersize=10, label = '0')
if len(blob1)>0:
plt.plot(blob1_et, blob1_acc, "s", color="red", markersize=10, label = '1')
if len(blob2)>0:
plt.plot(blob2_et, blob2_acc, "s", color="green", markersize=10, label = '2')
plot1 = fig.add_subplot(111) # adding the subplot
plot1.plot(y) # plotting the graph
plot1.set_title ("Circle Calibration, Accumulator vs Edge Threshold", fontsize=12)
plot1.set_ylabel("Accumulator", fontsize=14)
plot1.set_xlabel("Edge Threshold", fontsize=14)
Full Code
import tkinter.filedialog
import os
import tkinter as tk
from tkinter import ttk
import matplotlib
matplotlib.use("TkAgg") # this is the backend of matplotlib
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure import Figure
import matplotlib.animation as animation
from matplotlib import style
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import easygui
from matplotlib.legend_handler import HandlerLine2D
import simple_data
import ETvACCUM3
root = tk.Tk()
root.title("Tab Widget")
root.geometry("500x350")
tabControl = ttk.Notebook(root)
tab1 = ttk.Frame(tabControl)
tab2 = ttk.Frame(tabControl)
tab3 = ttk.Frame(tabControl)
tab4 = ttk.Frame(tabControl)
tabControl.add(tab1, text ='Tab 1')
tabControl.add(tab2, text ='Tab 2')
tabControl.add(tab3, text ='Tab 3')
tabControl.add(tab4, text ='Tab 4')
tk.Grid.rowconfigure(root, 0, weight=1)
tk.Grid.columnconfigure(root, 0, weight=1)
tabControl.grid(column=0, row=0, sticky=tk.E+tk.W+tk.N+tk.S)
#=====================================================================
# TAB 2
#=====================================================================
#=====================================================================
# my_frame_1 and its contents
#=====================================================================
# creating a frame (my_frame_1)
my_frame_1 = tk.Frame(tab2, bd=2, relief=tk.GROOVE)
my_frame_1.pack(side=tk.LEFT, anchor=tk.N, fill=tk.BOTH, expand=True)
#---------------------------------------------------------------------
# the figure that will contain the plot
fig = Figure(figsize = (5, 5), dpi = 100)
#=====================================================================
# frame2 and widgets it contains.
#=====================================================================
def plotData():
fig.clear()
file = easygui.fileopenbox(msg=None, title=None, default="/Users/.../Desktop/tk_gui_grid/", filetypes = None, multiple = False)
print('\n', "This is the selected file:", file, '\n')
# load data as a pandas dataframe
df = pd.read_csv(file, sep='\t', lineterminator='\n')
# make a smaller array by using the loc
df = df.loc[:,['Accum', 'EdgeThr','NumberOfBlobs']]
blob0 = []
blob1 = []
blob2 = []
blob0 = df[df['NumberOfBlobs'] == 0][['Accum', 'EdgeThr']]
blob1 = df[df['NumberOfBlobs'] == 1][['Accum', 'EdgeThr']]
blob2 = df[df['NumberOfBlobs'] == 2][['Accum', 'EdgeThr']]
blob0 = blob0.values.tolist()
blob1 = blob1.values.tolist()
blob2 = blob2.values.tolist()
print('blob2: ',blob2, '\n'*3)
fontTitle = {'family': 'arial',
'color': 'darkred',
'weight': 'normal',
'size': 16,
}
fontAxisLabels = {'family': 'helvetica',
'color': 'darkblue',
'weight': 'normal',
'size': 16,
}
if len(blob0)>0:
blob0_acc, blob0_et = map(list, zip(*blob0))
if len(blob1)>0:
blob1_acc, blob1_et = map(list, zip(*blob1))
if len(blob2)>0:
blob2_acc, blob2_et = map(list, zip(*blob2))
#fig1=plt.figure(1)
if len(blob0)>0:
plt.plot(blob0_et, blob0_acc, "s", color="blue", markersize=10, label = '0')
if len(blob1)>0:
plt.plot(blob1_et, blob1_acc, "s", color="red", markersize=10, label = '1')
if len(blob2)>0:
plt.plot(blob2_et, blob2_acc, "s", color="green", markersize=10, label = '2')
plot1 = fig.add_subplot(111) # adding the subplot
plot1.plot(y) # plotting the graph
plot1.set_title ("Circle Calibration, Acc vs ET", fontsize=12)
plot1.set_ylabel("Acc", fontsize=14)
plot1.set_xlabel("ET", fontsize=14)
toolbar = NavigationToolbar2Tk(my_canvas, my_frame_1)
toolbar.update()
my_canvas.get_tk_widget().pack(side = tkinter.TOP, fill = tkinter.BOTH, expand = 1)
my_canvas.draw_idle()
plt.axis([0,250,0,50])
plt.xlabel('Edge Threshold', fontdict = fontAxisLabels, fontsize = 12)
plt.ylabel('Accumulator', fontdict = fontAxisLabels, fontsize = 12)
plt.title('Accum vs Edge threshold', fontname='arial', color=('black'),fontdict = fontTitle,fontsize = 10)
plt.legend(loc = "upper right")
def getDataFile():
file = easygui.fileopenbox(msg=None, title=None, default="/Users/.../Desktop/tk_gui_grid/", filetypes = None, multiple = False)
print('\n', "This is the selected file:", file, '\n')
# load data as a pandas dataframe
df = pd.read_csv(file, sep='\t', lineterminator='\n')
print(df)
return df
"""
# this function successfully placed a simple plot onto the canvas when the button was pressed
def plotData():
fig.clear()
y = simple_data.some_yVals() #imported from a function in another module
plot1 = fig.add_subplot(111) # adding the subplot
plot1.plot(y) # plotting the graph
plot1.set_title ("Circle Calibration, Accumulator vs Edge Threshold", fontsize=12)
plot1.set_ylabel("Accumulator", fontsize=14)
plot1.set_xlabel("Edge Threshold", fontsize=14)
toolbar = NavigationToolbar2Tk(my_canvas, my_frame_1)
toolbar.update()
my_canvas.get_tk_widget().pack(side = tkinter.TOP, fill = tkinter.BOTH, expand = 1)
my_canvas.draw_idle()
"""
def clearPlot():
fig.clear()
my_canvas.draw_idle()
my_canvas = FigureCanvasTkAgg(fig, master = my_frame_1) # creating the Tkinter canvas containing the Matplotlib figure
my_canvas.get_tk_widget().pack() # placing the canvas on the Tkinter window
my_canvas.draw()
#create another frame(my_frame_2)
my_frame_2 = tk.Frame(tab2, bd=2, relief=tk.GROOVE)
my_frame_2.pack(side=tk.RIGHT)
#---------------------------------------------------------------------
button1 = tk.Button(my_frame_2, text = "Browse \nfiles", command = getDataFile, relief = tk.GROOVE, bg = "red", padx =20,pady =20 )
button1.pack(side="top", fill="x")
button2 = tk.Button(my_frame_2, text = "Plot \nData", command = plotData, relief = tk.GROOVE, bg = "red", padx =20,pady =20 )
button2.pack(side="top", fill="x" )
button3 = tk.Button(my_frame_2, text = "Clear \nPlot", command = clearPlot, relief = tk.GROOVE, bg = "red", padx =20,pady =20 )
button3.pack(side="top", fill="x")
button4 = tk.Button(my_frame_2, text = "Doggy", relief = tk.GROOVE, bg = "red", padx =20,pady =20 )
button4.pack(side="top", fill="x")
root.mainloop()
print('\n'*4)
*** Desired output ***
Any knowledge that helps me understand how to get the plots onto the canvas and to understand the difference between plt.plot and plot1.plot

You should read about the difference between the matplotlib object-oriented interface and the pyplot interface.
In your case you have mixed the two:
pyplot interface
when you call plt.plot, matplotlib will create an Axes instance if one does not already exist, or if one does, it will plot on the current Axes.
Object-oriented interface:
You create an Axes instance called plot1 using plot1 = plt.subplots(111), and then call the function plot from that instance: plot1.plot(). Anything you call from an Axes instance will be displayed on that Axes.
This issue likely comes because an Axes instance is created from your first plt.plot, but then you call plt.subplots and possibly create a different Axes instance which is used for everything afterwards.
In my opinion, it is usually better to use the object-oriented approach, since that way you always know where things you plot are going to end up. Its almost always a bad idea to mix the two approaches, as things end up getting confused somewhere.
Note that in the documentation and in many examples you will see around the web, the Axes instance is often called ax or ax1, rather than plot1 which you have here. Both will work just fine, but that might help to keep in mind when looking at examples elsewhere.
Its hard to tell exactly, and you don't say quite what your desired outcome is, but I think you probably want something like this. Create the plot1 Axes instance before you plot blob0, blob1 or blob2, then call plot1.plot for those three plotting functions too. That should ensure it all turns up on the same Axes.
plot1 = fig.add_subplot(111) # adding the subplot
if len(blob0)>0:
plot1.plot(blob0_et, blob0_acc, "s", color="blue", markersize=10, label = '0')
if len(blob1)>0:
plot1.plot(blob1_et, blob1_acc, "s", color="red", markersize=10, label = '1')
if len(blob2)>0:
plot1.plot(blob2_et, blob2_acc, "s", color="green", markersize=10, label = '2')
plot1.plot(y) # plotting the graph
plot1.set_title ("Circle Calibration, Acc vs ET", fontsize=12)
plot1.set_ylabel("Acc", fontsize=14)
plot1.set_xlabel("ET", fontsize=14)
Its probably not required, but if you are changing to the object-oriented interface, you might as well go the whole way and change it everywhere. For example, these lines:
plt.axis([0,250,0,50])
plt.xlabel('Edge Threshold', fontdict = fontAxisLabels, fontsize = 12)
plt.ylabel('Accumulator', fontdict = fontAxisLabels, fontsize = 12)
plt.title('Accum vs Edge threshold', fontname='arial', color=('black'),fontdict = fontTitle,fontsize = 10)
plt.legend(loc = "upper right")
should become:
plot1.axis([0,250,0,50])
plot1.set_xlabel('Edge Threshold', fontdict = fontAxisLabels, fontsize = 12)
plot1.set_ylabel('Accumulator', fontdict = fontAxisLabels, fontsize = 12)
plot1.set_title('Accum vs Edge threshold', fontname='arial', color=('black'),fontdict = fontTitle,fontsize = 10)
plot1.legend(loc = "upper right")

How to combine two subplots in one tkinter window?

I would like to display two matplotlib plots below each other in one tkinter window. I have needed two different codes so far. How can I combine the codes in one? I have created the desired result with powerpoint below. I have already tried it with subplot, unfortunately without success: plt.subplots(2,1, figsize=(20,10)) and plt.subplots(1,1, figsize=(20,10))
My first code:
# ___________________________________________________________________________
# Library
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import tkinter as tk
import numpy as np
# ___________________________________________________________________________
# Carwash Array
Carwash_km = np.array([1,4,500,1500,2800,2960,2700,5,2000,2000,3100,4000,4150,4150])
Carwash_cost = np.array([5,1000,1000,2100,3000,3150,3150,20,50,600,3500,3800,3960,3700])
# Fuel Array
Fuel_km = np.array([2,5,600,2600,3900,3970,3800,6,3000,3000,4200,5000,5260,5260])
Fuel_cost = np.array([6,2000,2000,3200,4000,4260,4260,30,60,700,4600,4900,4070,4800])
# Maintenance Array
Maintenance_km = np.array([0,3,400,400,1700,1850,1600,4,1000,1000,2000,3000,3040,3040])
Maintenance_cost = np.array([4,500,500,1000,2000,2040,2040,10,40,500,2400,2700,2850,2600])
# ___________________________________________________________________________
# Main
Vis = tk.Tk()
Vis.title("Main") # titel
# ___________________________________________________________________________
# Plot
fig, ax = plt.subplots(1, 1, figsize=(20,5), facecolor = "white")
Plot_Carwash_cost = plt.bar(Carwash_km, Carwash_cost,
bottom=0,
color="#BDD7EE",
ec="black",
width=100,
label="Carwash_cost")
Plot_Carwash_cost2 = plt.bar(Maintenance_km, -Maintenance_cost,
bottom=-0,
color="#C5E0B4",
ec="black",
width=100,
label="Maintenance_cost")
Plot_Fuel = plt.scatter(Fuel_km, Fuel_cost,
marker="^",
s=150,
color="#C00000",
edgecolors="black",
zorder=3,
label="Fuel_cost")
ax.spines["bottom"].set_position("zero")
ax.spines["top"].set_color("none")
ax.spines["right"].set_color("none")
ax.spines["left"].set_color("none")
ax.tick_params(axis="x", length=20)
_, xmax = ax.get_xlim()
ymin, ymax = ax.get_ylim()
ax.set_xlim(-15, xmax)
ax.set_ylim(ymin, ymax+10) # legend
ax.text(xmax, -5, "km", ha="right", va="top", size=14)
plt.legend(ncol=5, loc="upper left")
plt.tight_layout()
# ___________________________________________________________________________
# Canvas, Toolbar
canvas = FigureCanvasTkAgg(fig, master=Vis)
canvas.draw() # TK-Drawingarea
canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=True)
canvas._tkcanvas.pack(side = tk.TOP, fill = tk.BOTH, expand = True)
toolbar = NavigationToolbar2Tk(canvas, Vis)
toolbar.update()
Vis.mainloop()
My second code:
# ___________________________________________________________________________
# Library
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import tkinter as tk
import numpy as np
# ___________________________________________________________________________
# 1 Array
Beg1 = np.array([1,4,500,1500,2800,2960,2700,5,2000,2000,3100,4000,4150,4150])
End1 = np.array([2,5,600,2600,3900,3970,3800,6,3000,3000,4200,5000,5260,5260])
# 2 Array
Beg2 = np.array([5,1000,1000,2100,3000,3150,3150,20,50,600,3500,3800,3960,3700])
End2 = np.array([6,2000,2000,3200,4000,4260,4260,30,60,700,4600,4900,4070,4800])
# 3 Array
Beg3 = np.array([0,3,400,400,1700,1850,1600,4,1000,1000,2000,3000,3040,3040])
End3 = np.array([4,500,500,1000,2000,2040,2040,10,40,500,2400,2700,2850,2600])
# ___________________________________________________________________________
# detail
Vis2 = tk.Tk()
Vis2.title("detail") # titel
# ___________________________________________________________________________
# Plot
fig, ax = plt.subplots(2, 1, figsize=(20,10), facecolor = "white")
Plot_1 = plt.barh(len(Beg1)+np.arange(len(Beg2)), End2-Beg2+500,
left=Beg2,
height=0.9,
color='red',
alpha=0.5)
Plot_2 = plt.barh(range(len(Beg1)), End1-Beg1,
left=Beg1,
height=0.9,
color='#BDD7EE')
Plot_3 = plt.barh(len(Beg1)+len(Beg2)+np.arange(len(Beg3)), End3-Beg3+500,
left=Beg3,
height=0.9,
color="#C5E0B4")
plt.tight_layout()
# ___________________________________________________________________________
# Canvas, Toolbar
canvas = FigureCanvasTkAgg(fig, master = Vis2)
canvas.draw()
canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=True)
canvas._tkcanvas.pack(side = tk.TOP, fill = tk.BOTH, expand = True)
toolbar = NavigationToolbar2Tk(canvas, Vis2)
toolbar.update()
Vis2.mainloop()

The short answer is to create two Frame widget, and have your FigureCanvasTkAgg master set to each Frame.
...
frame1 = tk.Frame(Vis)
frame2 = tk.Frame(Vis)
frame1.pack()
frame2.pack()
...
canvas = FigureCanvasTkAgg(fig, master = frame1)
...
canvas2 = FigureCanvasTkAgg(fig, master = frame2)
...
Vis.mainloop()
A better way is to create a class which inherits from Frame and handles the creation of Figure and NavigationToolBar. Depending on your need, it could be something like this:
from matplotlib.figure import Figure #use Figure instead of pyplot if you are embedding into tkinter
class GraphFrame(tk.Frame):
def __init__(self, master=None, **kwargs):
super().__init__(master, **kwargs)
self.fig = Figure()
self.ax = self.fig.add_subplot(111)
self.canvas = FigureCanvasTkAgg(self.fig, master=self)
self.canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=True)
self.toolbar = NavigationToolbar2Tk(self.canvas, self)
self.toolbar.update()
Then you can easily create new plotting areas under the same root window Vis:
Vis = tk.Tk()
graph1 = GraphFrame(Vis)
graph1.pack()
graph1.ax.bar(Carwash_km, Carwash_cost, ...)
graph1.ax.bar(Maintenance_km, -Maintenance_cost, ...)
graph1.ax.scatter(Fuel_km, Fuel_cost, ...)
graph2 = GraphFrame(Vis)
graph2.pack()
graph2.ax.barh(...)
graph2.ax.barh(...)
graph2.ax.barh(...)
Vis.mainloop()

#excuse me
#in
class GraphFrame(tk.Frame):
def __init__(self, master=None, **kwargs):
super().__init__(master, **kwargs)
self.fig = Figure()
I think the correct sintax is :
class GraphFrame(tk.Frame):
def __init__(self, master=None, **kwargs):
super().__init__(master, **kwargs)
self.fig = plt.figure()
Am I right?

Using Matplotlib with Tkinter

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()

Python: plot shown differently in pyplot than in tkinter?

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()