# Import Lasso
from sklearn.linear_model import Lasso
# Instantiate a lasso regressor: lasso
lasso = Lasso(alpha=0.4, normalize=True)
# Fit the regressor to the data
lasso.fit(X, y)
# Compute and print the coefficients
lasso_coef = lasso.coef_
print(lasso_coef)
# Plot the coefficients
plt.plot(range(len(df_columns)), lasso_coef)
plt.xticks(range(len(df_columns)), df_columns.values, rotation=60)
plt.margins(0.02)
plt.show()