sarkas.tools.observables.VelocityAutoCorrelationFunction#

class sarkas.tools.observables.VelocityAutoCorrelationFunction[source]#

Velocity Auto-correlation function.

Methods

`VelocityAutoCorrelationFunction.__init__`()
`VelocityAutoCorrelationFunction.average_slices_data`()	Average the data from all the slices and add it to the dataframe.
`VelocityAutoCorrelationFunction.calc_k_data`()	Calculate and save Fourier space data.
`VelocityAutoCorrelationFunction.calc_kt_data`([...])	Calculate Time dependent Fourier space quantities.
`VelocityAutoCorrelationFunction.calc_slices_data`()	Calculate the vacf for each slice and add the data to the acf_slices dataframe.
`VelocityAutoCorrelationFunction.compute`()	Calculate the observable (and its autocorrelation function).
`VelocityAutoCorrelationFunction.create_dirs_filenames`()
`VelocityAutoCorrelationFunction.from_dict`(...)	Update attributes from input dictionary.
`VelocityAutoCorrelationFunction.grab_sim_data`([pva])	Read in particles data
`VelocityAutoCorrelationFunction.parse`()	Grab the pandas dataframe from the saved csv file.
`VelocityAutoCorrelationFunction.parse_k_data`()	Read in the precomputed Fourier space data.
`VelocityAutoCorrelationFunction.parse_kt_data`([...])	Read in the precomputed time dependent Fourier space data.
`VelocityAutoCorrelationFunction.plot`([...])	Plot the observable by calling the pandas.DataFrame.plot() function and save the figure.
`VelocityAutoCorrelationFunction.pretty_print`()	Print observable parameters for help in choice of simulation parameters.
`VelocityAutoCorrelationFunction.read_pickle`()	Read the observable's info from the pickle file.
`VelocityAutoCorrelationFunction.save_hdf`()
`VelocityAutoCorrelationFunction.save_pickle`()	Save the observable's info into a pickle file.
`VelocityAutoCorrelationFunction.setup`(params)	Assign attributes from simulation's parameters.
`VelocityAutoCorrelationFunction.setup_init`(params)	Assign Observables attributes and copy the simulation's parameters.
`VelocityAutoCorrelationFunction.setup_multirun_dirs`()	Set the attributes postprocessing_dir and dump_dirs_list.
`VelocityAutoCorrelationFunction.time_stamp`(...)	Print to screen the elapsed time of the calculation.
`VelocityAutoCorrelationFunction.update_args`(...)	Update observable specific attributes and call `update_finish()` to save info.
`VelocityAutoCorrelationFunction.update_finish`()	Update the `slice_steps`, CCF's and DSF's attributes, and save pickle file with observable's info.