linregress

linregress(x, y, full=False, **kwargs)

Simple linear regression returning the line of best fit and R value. Similar to scipy.stats.linregress`() but simpler.

Parameters:

• x (array) – the x coordinates

• y (array) – the y coordinates

• full (bool) – whether to return a full data structure

• kwargs (dict) – passed to numpy.polyfit()

Examples:

x = range(10)
y = sorted(2*np.random.rand(10) + 1)
m,b = sc.linregress(x, y) # Simple usage
out = sc.linregress(x, y, full=True) # Has out.m, out.b, out.x, out.y, out.corr, etc.
pl.scatter(x, y)
pl.plot(x, m*x+b)
pl.bar(x, out.residuals)
pl.title(f'R² = {out.r2}')