Results - Publishing a content rich paper with interactive elements

Below we have some interactive content to display the results of our analysis.

import numpy as np
import matplotlib.pyplot as plt
from ipywidgets import interact
import ipywidgets as widgets

N = 50
x = np.linspace(0,100,N)
y = 2*x + np.random.normal(0,10,N)

def update_plot(a):

    y_test = a*x

    plt.clf()
    plt.plot(x,y,'k.')
    plt.plot(x,y_test,'r--')
    plt.show()

interact(update_plot,a=widgets.FloatSlider(min=-4, max=4, step=0.1, value=1))

Or, another plot without interactive stuff:

import numpy as np
import matplotlib.pyplot as plt


N = 50
a = 2
x = np.linspace(0,100,N)
y = 2*x + np.random.normal(0,10,N)
y_test = a*x

plt.figure()
plt.plot(x,y,'k.')
plt.plot(x,y_test,'r--')
plt.show()

Or an output which is shown but the code is not.

import numpy as np
import matplotlib.pyplot as plt
N = 50
x = np.linspace(0,100,N)
y = 2*x**2 + np.random.normal(0,10,N)


plt.figure()
plt.plot(x,y,'k.')
plt.show()