sarkas.tools.observables.VelocityDistribution.normality_tests#

VelocityDistribution.normality_tests(time, vel_data)[source]#

Calculate the Shapiro-Wilks test for each timestep from the raw velocity data and store it into a dataframe.

Returns

  • time (numpy.ndarray) – One dimensional array with time data.

  • vel_data (numpy.ndarray) – See Returns of sarkas.tools.observables.Observable.grab_sim_data() Array with shape (sarkas.tools.observables.Observable.no_dumps,

  • sarkas.tools.observables.Observable.self.dim, sarkas.tools.observables.Observable.runs *

  • sarkas.tools.observables.Observable.inv_dim * sarkas.tools.observables.Observable.total_num_ptcls).

  • .dim = 1 if sarkas.tools.observables.Observable.dimensional_average = True otherwise equals the number

  • of dimensions, (e.g. 3D (3) .runs is the number of runs to be averaged over. Default = 1. .inv_dim is)

  • the else option of dim. If dim = 1 then .inv_dim = .dimensions and viceversa.