Analyzing Your Results

PyFluent postprocessing supports graphics and plotting.

Rendering Graphics Objects

The visualization package library is used for rendering graphics objects. The following graphics operations are supported.

Displaying Mesh Objects

The following example demonstrates how you can display the mesh object:

import ansys.fluent.core as pyfluent
from ansys.fluent.core import examples
from ansys.fluent.visualization import set_config
from ansys.fluent.visualization.matplotlib import Plots
from ansys.fluent.visualization.pyvista import Graphics

set_config(blocking=True, set_view_on_display="isometric")

import_case = examples.download_file(
    filename="exhaust_system.cas.h5", directory="pyfluent/exhaust_system"
)

import_data = examples.download_file(
    filename="exhaust_system.dat.h5", directory="pyfluent/exhaust_system"
)

session = pyfluent.launch_fluent(precision="double", processor_count=2)

session.solver.tui.file.read_case(case_file_name=import_case)
session.solver.tui.file.read_data(case_file_name=import_data)

graphics = Graphics(session=session)
mesh1 = graphics.Meshes["mesh-1"]
mesh1.show_edges = True
mesh1.surfaces_list = [
    "in1",
    "in2",
    "in3",
    "out1",
    "solid_up:1",
    "solid_up:1:830",
    "solid_up:1:830-shadow",
]
mesh1.display("window-1")

Displaying Iso-Surfaces

The following example demonstrates how you can display the iso-surface:

surf_outlet_plane = graphics.Surfaces["outlet-plane"]
surf_outlet_plane.surface.type = "iso-surface"
iso_surf1 = surf_outlet_plane.surface.iso_surface
iso_surf1.field = "y-coordinate"
iso_surf1.iso_value = -0.125017
surf_outlet_plane.display("window-2")

Displaying Contours

The following example demonstrates how you can display the contour object:

temperature_contour_manifold = graphics.Contours["contour-temperature-manifold"]
temperature_contour_manifold.field = "temperature"
temperature_contour_manifold.surfaces_list = [
    "in1",
    "in2",
    "in3",
    "out1",
    "solid_up:1",
    "solid_up:1:830",
]
temperature_contour_manifold.display("window-3")

Displaying Vectors

The following example demonstrates how you can display the vector object:

velocity_vector = graphics.Vectors["velocity-vector"]
velocity_vector.surfaces_list = ["outlet-plane"]
velocity_vector.scale = 1
velocity_vector.display("window-4")

Plotting Your Data

The following plotting operations are supported.

Displaying XY Plots

The following example demonstrates how you can display the xy plot:

plots_session_1 = Plots(session)
xy_plot = plots_session_1.XYPlots["xy-plot"]
xy_plot.surfaces_list = ["outlet"]
xy_plot.y_axis_function = "temperature"
xy_plot.plot("window-5")

Plotting Residual

The following example demonstrates how you can plot solution residual:

matplotlib_plots1 = Plots(session)
residual = matplotlib_plots1.Monitors["residual"]
residual.monitor_set_name = "residual"
residual.plot("window-6")

Plotting Solution Minitors

The following example demonstrates how you can plot solution monitors:

session.solver.tui.solve.initialize.hyb_initialization()
session.solver.tui.solve.set.number_of_iterations(50)
session.solver.tui.solve.iterate()
session.monitors_manager.get_monitor_set_names()
matplotlib_plots1 = Plots(session)
mass_bal_rplot = matplotlib_plots1.Monitors["mass-bal-rplot"]
mass_bal_rplot.monitor_set_name = "mass-bal-rplot"
mass_bal_rplot.plot("window-7")