SciStack

Sign in Create account

numpy.corrcoef

Python. Called in 3 tutorials; each line below leads to its place in the tutorial.

ToolPythonIntermediate

MCMC with emcee: the half-life and background of a counting experiment

r = np.corrcoef(flat.T)

ConceptPythonIntermediate

The condition number: how many digits a linear solve can lose

print(f"mass and length: correlation {np.corrcoef(length, mass)[0, 1]:.2f}, κ = {np.linalg.cond(X):.0f}")

ToolPythonBeginner

curve_fit from the ground up: the Michaelis-Menten constants of an enzyme

print(f"correlation of the refits r = {np.corrcoef(refits.T)[0, 1]:.2f}")