SciStack

Sign in Create account

numpy.interp

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

ConceptPythonIntermediate

Finite volumes: why a conservation law is solved by bookkeeping the fluxes

xi = np.interp(np.interp(x, x_fine, tau) - t, tau, x_fine, left=-1.0)
t_throat = [np.interp(xb, x_fine, tau) - np.interp(x0, x_fine, tau) for xb in (0.80, 1.20)]
x_center = np.interp(np.interp(x0, x_fine, tau) + t_end, tau, x_fine) # where the exact pulse is at t_end

ToolPythonIntermediate

Ray tracing a black hole with solve_ivp: the shadow of M87*

ToolPythonBeginner

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

Km0 = np.interp(Vmax0 / 2, v, S) # needs rates that rise with S