widget for function input is not shown in nbviewer
I've written a python module and would like to make some of the functions available via a jupyter notebook. For this I would like to visualise (plot) the functions. The notebook should be interactive, i.e. the user can change inputs and gets the corresponding result / plot back.
I've tried to make a use case work as I've never used jupyter before. I followed this. Here is the code from their site:
%matplotlib inline
from ipywidgets import interact
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
locally everything is working fine. As soon as I upload it to github and want to show it on nbviewer (can be found here) the interactive sliders don't work. What am I doing wrong?
Is there a restriction for this on the python version?
python jupyter-notebook
asked Nov 21 '18 at 11:40
math
520923
add a comment |
I've written a python module and would like to make some of the functions available via a jupyter notebook. For this I would like to visualise (plot) the functions. The notebook should be interactive, i.e. the user can change inputs and gets the corresponding result / plot back.
I've tried to make a use case work as I've never used jupyter before. I followed this. Here is the code from their site:
%matplotlib inline
from ipywidgets import interact
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
locally everything is working fine. As soon as I upload it to github and want to show it on nbviewer (can be found here) the interactive sliders don't work. What am I doing wrong?
Is there a restriction for this on the python version?
python jupyter-notebook
asked Nov 21 '18 at 11:40
math
520923
add a comment |
I've written a python module and would like to make some of the functions available via a jupyter notebook. For this I would like to visualise (plot) the functions. The notebook should be interactive, i.e. the user can change inputs and gets the corresponding result / plot back.
I've tried to make a use case work as I've never used jupyter before. I followed this. Here is the code from their site:
%matplotlib inline
from ipywidgets import interact
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
locally everything is working fine. As soon as I upload it to github and want to show it on nbviewer (can be found here) the interactive sliders don't work. What am I doing wrong?
Is there a restriction for this on the python version?
python jupyter-notebook
asked Nov 21 '18 at 11:40
math
520923
I've written a python module and would like to make some of the functions available via a jupyter notebook. For this I would like to visualise (plot) the functions. The notebook should be interactive, i.e. the user can change inputs and gets the corresponding result / plot back.
I've tried to make a use case work as I've never used jupyter before. I followed this. Here is the code from their site:
%matplotlib inline
from ipywidgets import interact
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
locally everything is working fine. As soon as I upload it to github and want to show it on nbviewer (can be found here) the interactive sliders don't work. What am I doing wrong?
Is there a restriction for this on the python version?
python jupyter-notebook
python jupyter-notebook
asked Nov 21 '18 at 11:40
math
520923
asked Nov 21 '18 at 11:40
math
520923
asked Nov 21 '18 at 11:40
math
520923
asked Nov 21 '18 at 11:40
math
520923
asked Nov 21 '18 at 11:40
math
520923
520923
add a comment |
add a comment |
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