Reset an argument when varying another argument using interact
I was wondering if ipywidgets supports resetting one of the arguments to a default value whenever you manipulate/vary/slide/change one of the other interactive arguments. Taking a basic example from their documentation
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
interactive_plot
What I would be looking for is a way to reset argument b to some default value whenever I change m. Is this supported, and if not, would someone be able to think of a clever way to do it anyway? I personally can't.
python ipywidgets
asked Nov 19 '18 at 17:17
user129412user129412
4671416
add a comment |
I was wondering if ipywidgets supports resetting one of the arguments to a default value whenever you manipulate/vary/slide/change one of the other interactive arguments. Taking a basic example from their documentation
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
interactive_plot
What I would be looking for is a way to reset argument b to some default value whenever I change m. Is this supported, and if not, would someone be able to think of a clever way to do it anyway? I personally can't.
python ipywidgets
asked Nov 19 '18 at 17:17
user129412user129412
4671416
add a comment |
I was wondering if ipywidgets supports resetting one of the arguments to a default value whenever you manipulate/vary/slide/change one of the other interactive arguments. Taking a basic example from their documentation
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
interactive_plot
What I would be looking for is a way to reset argument b to some default value whenever I change m. Is this supported, and if not, would someone be able to think of a clever way to do it anyway? I personally can't.
python ipywidgets
asked Nov 19 '18 at 17:17
user129412user129412
4671416
I was wondering if ipywidgets supports resetting one of the arguments to a default value whenever you manipulate/vary/slide/change one of the other interactive arguments. Taking a basic example from their documentation
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
interactive_plot
What I would be looking for is a way to reset argument b to some default value whenever I change m. Is this supported, and if not, would someone be able to think of a clever way to do it anyway? I personally can't.
python ipywidgets
python ipywidgets
asked Nov 19 '18 at 17:17
user129412user129412
4671416
asked Nov 19 '18 at 17:17
user129412user129412
4671416
asked Nov 19 '18 at 17:17
user129412user129412
4671416
asked Nov 19 '18 at 17:17
user129412user129412
4671416
asked Nov 19 '18 at 17:17
user129412user129412
4671416
4671416
add a comment |
add a comment |
1 Answer
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This is a rather simplified example, but you can define a default_value as a normal instance variable for b, and then reassign it whenever m changes through a normal observe command.
In this case where you have two or more widgets interacting, it might be easier to manage as a class where the two inputs are instance variables, especially if you want to use this combination of widgets in multiple places in the same module/notebook.
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
m = interactive_plot.children[0]
b = interactive_plot.children[1]
b.default_value = 0
def set_b_default(button):
b.value = b.default_value
m.observe(set_default)
interactive_plot
answered Jan 8 at 8:07
ac24ac24
53019
add a comment |
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1 Answer
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1 Answer
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active
oldest
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This is a rather simplified example, but you can define a default_value as a normal instance variable for b, and then reassign it whenever m changes through a normal observe command.
In this case where you have two or more widgets interacting, it might be easier to manage as a class where the two inputs are instance variables, especially if you want to use this combination of widgets in multiple places in the same module/notebook.
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
m = interactive_plot.children[0]
b = interactive_plot.children[1]
b.default_value = 0
def set_b_default(button):
b.value = b.default_value
m.observe(set_default)
interactive_plot
answered Jan 8 at 8:07
ac24ac24
53019
add a comment |
This is a rather simplified example, but you can define a default_value as a normal instance variable for b, and then reassign it whenever m changes through a normal observe command.
In this case where you have two or more widgets interacting, it might be easier to manage as a class where the two inputs are instance variables, especially if you want to use this combination of widgets in multiple places in the same module/notebook.
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
m = interactive_plot.children[0]
b = interactive_plot.children[1]
b.default_value = 0
def set_b_default(button):
b.value = b.default_value
m.observe(set_default)
interactive_plot
answered Jan 8 at 8:07
ac24ac24
53019
add a comment |
This is a rather simplified example, but you can define a default_value as a normal instance variable for b, and then reassign it whenever m changes through a normal observe command.
In this case where you have two or more widgets interacting, it might be easier to manage as a class where the two inputs are instance variables, especially if you want to use this combination of widgets in multiple places in the same module/notebook.
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
m = interactive_plot.children[0]
b = interactive_plot.children[1]
b.default_value = 0
def set_b_default(button):
b.value = b.default_value
m.observe(set_default)
interactive_plot
answered Jan 8 at 8:07
ac24ac24
53019
This is a rather simplified example, but you can define a default_value as a normal instance variable for b, and then reassign it whenever m changes through a normal observe command.
In this case where you have two or more widgets interacting, it might be easier to manage as a class where the two inputs are instance variables, especially if you want to use this combination of widgets in multiple places in the same module/notebook.
%matplotlib inline
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np
def f(m, b):
plt.figure(2)
x = np.linspace(-10, 10, num=1000)
plt.plot(x, m * x + b)
plt.ylim(-5, 5)
plt.show()
interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
output = interactive_plot.children[-1]
output.layout.height = '350px'
m = interactive_plot.children[0]
b = interactive_plot.children[1]
b.default_value = 0
def set_b_default(button):
b.value = b.default_value
m.observe(set_default)
interactive_plot
answered Jan 8 at 8:07
ac24ac24
53019
answered Jan 8 at 8:07
ac24ac24
53019
answered Jan 8 at 8:07
ac24ac24
53019
answered Jan 8 at 8:07
ac24ac24
53019
53019
add a comment |
add a comment |
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