is there any way to substitute the value and using contour.display to show the figure

[alwaysbyx]

Hi according to api reference,
(1) we can use session.field_data.get_scalar_field_data to get the raw value of the surface.
(2) we can use session.results.graphics.contour[object].display() to display the contour image.

I wonder is there any way to substitute the value of that object's scalar data and display the resulted image

[prmukherj]

Hi @alwaysbyx,
If we understand your query correctly, you want to display your custom data in fluent interface using PyFluent. For this, we have a separate solution variables interface. Below is a sample script which can be used to achieve it:

import ansys.fluent.core as pf
s = pf.launch_fluent(ui_mode="gui")

from ansys.fluent.core import examples
import_file_name = examples.download_file("mixing_elbow.cas.h5", "pyfluent/mixing_elbow")
examples.download_file("mixing_elbow.dat.h5", "pyfluent/mixing_elbow")

solution_variable_data = s.fields.solution_variable_data

s.file.read_case_data(file_name=import_file_name)

Create and display the original temperature data:

s.results.graphics.contour["c1"] = {}
c1 = s.results.graphics.contour["c1"]
c1.field = "temperature"
c1.surfaces_list = ["wall-elbow"]
c1.display()

Create a dummy temperature data:

wall_temp_array = solution_variable_data.create_empty_array("SV_T", "wall-elbow", "mixture")
wall_temp_array[:] = 500

Update the data in Fluent:

solution_variable_data.set_data(
solution_variable_name="SV_T",
zone_names_to_solution_variable_data={"wall-elbow": wall_temp_array},
domain_name="mixture",
)

Send a signal to Fluent that the data has been updated:

s.scheme_eval.scheme_eval("(update-data-id)")

Again display the updated temperature data:

c1.display()

We have a detailed documentation on using the solution-variable (https://fluent.docs.pyansys.com/version/stable/user_guide/fields/solution_data.html) services in PyFluent which you can refer for further information. An alternative to displaying in Fluent window is to use the pyfluent-visualization (https://github.com/ansys/pyfluent-visualization) as well.

Thanks @ajain-work for your advice.
cc. @seanpearsonuk

Please let us know if this was helpful,
Thank you.

[prmukherj]

Hi @alwaysbyx,
We are converting this issue to discussion. Please let us know if the above solution works for you.
Thank you.