setup_reduction#

class ansys.fluent.core.generated.solver.tui_252.main_menu.report.dpm_histogram.setup_reduction(service, version, mode, path)#

Set up the sample data reduction by specifying all relevant options and setting parameters as desired.

Methods:

__init__(service, version, mode, path)

__init__ method of TUIMenu class.

Classes:

`all_variables_number_of_bins`(service, ...)	Set the number of bins to be used for ALL variables in the data reduction.
`list_settings`(service, version, mode, path)	List all user inputs for the sample picked for data reduction.
`logarithmic`(service, version, mode, path)	Switch on or off logarithmic scaling to be used for a specific variable in the data reduction.
`make_steady_from_unsteady_file`(service, ...)	Specify whether the unsteady sample is to be reduced into a steady-state injection file.
`maximum`(service, version, mode, path)	Set the maximum value of the range to be considered for a specific variable in the data reduction.
`minimum`(service, version, mode, path)	Set the minimum value of the range to be considered for a specific variable in the data reduction.
`number_of_bins`(service, version, mode, path)	Set the number of bins to be used for a specific variable in the data reduction.
`reset_min_and_max`(service, version, mode, path)	Reset the min and max values of the range to be considered for a specific variable in the data reduction.
`use_weighting`(service, version, mode, path)	Specify whether to use any weighting in the averaging that is done in each bin in the data reduction.
`weighting_variable`(service, version, mode, path)	Choose the weighting variable for the averaging in each bin in the data reduction.

__init__(service, version, mode, path)#: __init__ method of TUIMenu class.

class all_variables_number_of_bins(service, version, mode, path)#

Set the number of bins to be used for ALL variables in the data reduction.

class list_settings(service, version, mode, path)#

List all user inputs for the sample picked for data reduction.

class logarithmic(service, version, mode, path)#

Switch on or off logarithmic scaling to be used for a specific variable in the data reduction.

class make_steady_from_unsteady_file(service, version, mode, path)#

Specify whether the unsteady sample is to be reduced into a steady-state injection file.

class maximum(service, version, mode, path)#

Set the maximum value of the range to be considered for a specific variable in the data reduction.

class minimum(service, version, mode, path)#

Set the minimum value of the range to be considered for a specific variable in the data reduction.

class number_of_bins(service, version, mode, path)#

Set the number of bins to be used for a specific variable in the data reduction.

class reset_min_and_max(service, version, mode, path)#

Reset the min and max values of the range to be considered for a specific variable in the data reduction.

class use_weighting(service, version, mode, path)#

Specify whether to use any weighting in the averaging that is done in each bin in the data reduction.

class weighting_variable(service, version, mode, path)#

Choose the weighting variable for the averaging in each bin in the data reduction.