A "Getting Started" section of the documentation would be helpful. about scikit-tda HOT 3 CLOSED

import tadasets
import matplotlib.pyplot as plt
data_clean = tadasets.dsphere(d=1, n=100, noise=0.0)
data_noisy = tadasets.dsphere(d=1, n=100, noise=0.1)


print(f"The shape of the data is: {data_clean.shape}")

plt.scatter(data_clean[:,0], data_clean[:,1], label="clean data")
plt.scatter(data_noisy[:,0], data_noisy[:,1], label="noisy data")
plt.axis('equal')
plt.legend()
plt.show()


# Let's calculate the diagram 
import ripser
from persim import plot_diagrams

dgm_clean = ripser.ripser(data_clean)['dgms'][1]
dgm_noisy = ripser.ripser(data_noisy)['dgms'][1]

plot_diagrams([dgm_clean, dgm_noisy] , labels=['Clean $H_1$', 'Noisy $H_1$'], show=True)