setup_reduction#

class ansys.fluent.core.solver.tui_241.main_menu.report.dpm_histogram.setup_reduction(service, version, mode, path)#

Bases: TUIMenu

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

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

Bases: TUIMethod

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

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

Bases: TUIMethod

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

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

Bases: TUIMethod

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)#

Bases: TUIMethod

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

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

Bases: TUIMethod

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

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

Bases: TUIMethod

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)#

Bases: TUIMethod

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)#

Bases: TUIMethod

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)#

Bases: TUIMethod

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)#

Bases: TUIMethod

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