How to switch between diagrams with a button in Matplotlib
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0
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Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.
import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
x_values = [5, 4, 3, 2, 1]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
I know there are examples for this problem out there, but I simply can't get it to work...
Here is the link, where they show how to do it, but I don't understand how to do it...
Link: https://matplotlib.org/gallery/widgets/buttons.html
python matplotlib button diagram
add a comment |
up vote
0
down vote
favorite
Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.
import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
x_values = [5, 4, 3, 2, 1]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
I know there are examples for this problem out there, but I simply can't get it to work...
Here is the link, where they show how to do it, but I don't understand how to do it...
Link: https://matplotlib.org/gallery/widgets/buttons.html
python matplotlib button diagram
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.
import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
x_values = [5, 4, 3, 2, 1]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
I know there are examples for this problem out there, but I simply can't get it to work...
Here is the link, where they show how to do it, but I don't understand how to do it...
Link: https://matplotlib.org/gallery/widgets/buttons.html
python matplotlib button diagram
Is there an easy way, to switch between two or more diagrams with a button? I would like, for example be able to switch between these two diagrams with a button instead of showing them one after the other.
import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
x_values = [5, 4, 3, 2, 1]
y_values = [1, 4, 9, 16, 25]
plt.bar(x_values, y_values)
plt.show()
I know there are examples for this problem out there, but I simply can't get it to work...
Here is the link, where they show how to do it, but I don't understand how to do it...
Link: https://matplotlib.org/gallery/widgets/buttons.html
python matplotlib button diagram
python matplotlib button diagram
asked Nov 10 at 17:47
Mysterious Challenger
125
125
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
accepted
Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
x1_values = [1, 2, 3, 4, 5]
y1_values = [1, 4, 9, 16, 25]
l, = plt.plot(x1_values, y1_values)
class Index(object):
def __init__(self):
self.current = 1
self.x1 = [5, 4, 3, 2, 1]
self.y1 = [1, 4, 9, 16, 25]
self.x2 = [1, 2, 3, 4, 5]
self.y2 = [1, 4, 9, 16, 25]
def plot(self, x):
self.current += 1
if self.current%2:
self.values1()
else:
self.values2()
def values1(self):
l.set_xdata(self.x1)
l.set_ydata(self.y1)
plt.draw()
def values2(self):
l.set_xdata(self.x2)
l.set_ydata(self.y2)
plt.draw()
callback = Index()
axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
bprev = Button(axnext, 'Switch')
bprev.on_clicked(callback.plot)
plt.show()
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
x1_values = [1, 2, 3, 4, 5]
y1_values = [1, 4, 9, 16, 25]
l, = plt.plot(x1_values, y1_values)
class Index(object):
def __init__(self):
self.current = 1
self.x1 = [5, 4, 3, 2, 1]
self.y1 = [1, 4, 9, 16, 25]
self.x2 = [1, 2, 3, 4, 5]
self.y2 = [1, 4, 9, 16, 25]
def plot(self, x):
self.current += 1
if self.current%2:
self.values1()
else:
self.values2()
def values1(self):
l.set_xdata(self.x1)
l.set_ydata(self.y1)
plt.draw()
def values2(self):
l.set_xdata(self.x2)
l.set_ydata(self.y2)
plt.draw()
callback = Index()
axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
bprev = Button(axnext, 'Switch')
bprev.on_clicked(callback.plot)
plt.show()
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
add a comment |
up vote
0
down vote
accepted
Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
x1_values = [1, 2, 3, 4, 5]
y1_values = [1, 4, 9, 16, 25]
l, = plt.plot(x1_values, y1_values)
class Index(object):
def __init__(self):
self.current = 1
self.x1 = [5, 4, 3, 2, 1]
self.y1 = [1, 4, 9, 16, 25]
self.x2 = [1, 2, 3, 4, 5]
self.y2 = [1, 4, 9, 16, 25]
def plot(self, x):
self.current += 1
if self.current%2:
self.values1()
else:
self.values2()
def values1(self):
l.set_xdata(self.x1)
l.set_ydata(self.y1)
plt.draw()
def values2(self):
l.set_xdata(self.x2)
l.set_ydata(self.y2)
plt.draw()
callback = Index()
axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
bprev = Button(axnext, 'Switch')
bprev.on_clicked(callback.plot)
plt.show()
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
x1_values = [1, 2, 3, 4, 5]
y1_values = [1, 4, 9, 16, 25]
l, = plt.plot(x1_values, y1_values)
class Index(object):
def __init__(self):
self.current = 1
self.x1 = [5, 4, 3, 2, 1]
self.y1 = [1, 4, 9, 16, 25]
self.x2 = [1, 2, 3, 4, 5]
self.y2 = [1, 4, 9, 16, 25]
def plot(self, x):
self.current += 1
if self.current%2:
self.values1()
else:
self.values2()
def values1(self):
l.set_xdata(self.x1)
l.set_ydata(self.y1)
plt.draw()
def values2(self):
l.set_xdata(self.x2)
l.set_ydata(self.y2)
plt.draw()
callback = Index()
axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
bprev = Button(axnext, 'Switch')
bprev.on_clicked(callback.plot)
plt.show()
Here I modified code from the link you supplied so that it uses different sets of values depending on what values are currently plotted.
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
x1_values = [1, 2, 3, 4, 5]
y1_values = [1, 4, 9, 16, 25]
l, = plt.plot(x1_values, y1_values)
class Index(object):
def __init__(self):
self.current = 1
self.x1 = [5, 4, 3, 2, 1]
self.y1 = [1, 4, 9, 16, 25]
self.x2 = [1, 2, 3, 4, 5]
self.y2 = [1, 4, 9, 16, 25]
def plot(self, x):
self.current += 1
if self.current%2:
self.values1()
else:
self.values2()
def values1(self):
l.set_xdata(self.x1)
l.set_ydata(self.y1)
plt.draw()
def values2(self):
l.set_xdata(self.x2)
l.set_ydata(self.y2)
plt.draw()
callback = Index()
axnext = plt.axes([0.81, 0.05, 0.1, 0.075])
bprev = Button(axnext, 'Switch')
bprev.on_clicked(callback.plot)
plt.show()
edited Nov 10 at 19:06
Mysterious Challenger
125
125
answered Nov 10 at 18:02
Filip Młynarski
1625
1625
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
add a comment |
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
Many thanks, much better to understand and to experiment with!
– Mysterious Challenger
Nov 10 at 18:11
add a comment |
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