sarkas.tools.observables.PressureTensor

class sarkas.tools.observables.PressureTensor

Pressure Tensor.

Methods

PressureTensor.__init__()
PressureTensor.calc_k_data()	Calculate and save Fourier space data.
PressureTensor.calc_kt_data([nkt_flag, vkt_flag])	Calculate Time dependent Fourier space quantities.
PressureTensor.compute()	Calculate the observable (and its autocorrelation function).
PressureTensor.create_dirs_filenames()
PressureTensor.df_column_names()
PressureTensor.from_dict(input_dict)	Update attributes from input dictionary.
PressureTensor.grab_sim_data([pva])	Read in particles data
PressureTensor.parse()	Grab the pandas dataframe from the saved csv file.
PressureTensor.parse_k_data()	Read in the precomputed Fourier space data.
PressureTensor.parse_kt_data([nkt_flag, ...])	Read in the precomputed time dependent Fourier space data.
PressureTensor.plot([scaling, acf, figname, ...])	Plot the observable by calling the pandas.DataFrame.plot() function and save the figure.
PressureTensor.pretty_print()	Print observable parameters for help in choice of simulation parameters.
PressureTensor.read_pickle()	Read the observable's info from the pickle file.
PressureTensor.save_hdf()
PressureTensor.save_pickle()	Save the observable's info into a pickle file.
PressureTensor.setup(params[, phase, no_slices])	Assign attributes from simulation's parameters.
PressureTensor.setup_init(params[, phase, ...])	Assign Observables attributes and copy the simulation's parameters.
PressureTensor.setup_multirun_dirs()	Set the attributes postprocessing_dir and dump_dirs_list.
PressureTensor.sum_rule(beta, rdf, potential)	Calculate the sum rule integrals from the rdf.
PressureTensor.time_stamp(message, timing)	Print to screen the elapsed time of the calculation.
PressureTensor.update_args(**kwargs)	Update observable specific attributes and call update_finish() to save info.
PressureTensor.update_finish()	Update the slice_steps, CCF's and DSF's attributes, and save pickle file with observable's info.