trackpy.motion

Functions

compute_drift(traj[, smoothing, pos_columns])	Return the ensemble drift, xy(t).
diagonal_size(single_trajectory[, ...])	Measure the diagonal size of a trajectory.
direction_corr(t, frame1, frame2)	Compute the cosine between every pair of particles' displacements.
emsd(traj, mpp, fps[, max_lagtime, detail, ...])	Compute the ensemble mean squared displacements of many particles.
imsd(traj, mpp, fps[, max_lagtime, ...])	Compute the mean squared displacement of each particle.
is_diffusive(traj[, threshold])
is_localized(traj[, threshold])
is_typical(msds, frame[, lower, upper])	Identify which paritcles' MSDs are in the central quantile.
min_rolling_theta_entropy(pos[, window, bins])	Compute the minimum Shannon entropy in any window.
msd(traj, mpp, fps[, max_lagtime, detail, ...])	Compute the mean displacement and mean squared displacement of one trajectory over a range of time intervals.
proximity(*args, **kwargs)	Deprecated
relate_frames(t, frame1, frame2[, pos_columns])	Find the displacement vector of all particles between two frames.
shannon_entropy(x, bins)	Compute the Shannon entropy of the distribution of x.
subtract_drift(traj[, drift, inplace])	Return a copy of particle trajectories with the overall drift subtracted out.
theta_entropy(pos[, bins, plot])	Plot the distribution of directions and return its Shannon entropy.
vanhove(pos, lagtime[, mpp, ensemble, bins])	Compute the van Hove correlation (histogram of displacements).
velocity_corr(t, frame1, frame2)	Compute the velocity correlation between every pair of particles' displacements.