Note
Go to the end to download the full example code.
Export data contained in a DataFrame to a new format#
In this script a static simulation is used as an example to show how to export data from a DataFrame to another format.
Perform required imports#
Perform required imports. # This example uses a supplied file that you can
get by importing the DPF examples
package.
from ansys.dpf import post
from ansys.dpf.post import examples
Get Simulation
object#
Get the Simulation
object that allows access to the result. The Simulation
object must be instantiated with the path for the result file. For example,
"C:/Users/user/my_result.rst"
on Windows or "/home/user/my_result.rst"
on Linux.
example_path = examples.download_crankshaft()
# to automatically detect the simulation type, use:
simulation = post.load_simulation(example_path)
# to enable auto-completion, use the equivalent:
simulation = post.StaticMechanicalSimulation(example_path)
# print the simulation to get an overview of what's available
print(simulation)
Static Mechanical Simulation.
Data Sources
------------------------------
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/ansys/dpf/core/examples/result_files/crankshaft/crankshaft.rst
DPF Model
------------------------------
Static analysis
Unit system: MKS: m, kg, N, s, V, A, degC
Physics Type: Mechanical
Available results:
- displacement: Nodal Displacement
- velocity: Nodal Velocity
- acceleration: Nodal Acceleration
- reaction_force: Nodal Force
- stress: ElementalNodal Stress
- elemental_volume: Elemental Volume
- stiffness_matrix_energy: Elemental Energy-stiffness matrix
- artificial_hourglass_energy: Elemental Hourglass Energy
- thermal_dissipation_energy: Elemental thermal dissipation energy
- kinetic_energy: Elemental Kinetic Energy
- co_energy: Elemental co-energy
- incremental_energy: Elemental incremental energy
- elastic_strain: ElementalNodal Strain
- element_euler_angles: ElementalNodal Element Euler Angles
- structural_temperature: ElementalNodal Structural temperature
------------------------------
DPF Meshed Region:
69762 nodes
39315 elements
Unit: m
With solid (3D) elements
------------------------------
DPF Time/Freq Support:
Number of sets: 3
Cumulative Time (s) LoadStep Substep
1 1.000000 1 1
2 2.000000 1 2
3 3.000000 1 3
Extract elemental nodal stress#
stress = simulation.stress_nodal(all_sets=True)
print(stress)
results S (Pa)
set_ids 1 2 3
node_ids components
4872 XX 1.8630e+05 -2.6097e+05 -1.4740e+06
YY 8.2844e+06 2.8386e+07 5.9846e+07
ZZ -1.3700e+07 -7.9701e+06 1.7550e+07
XY 5.9991e+05 6.6079e+05 -7.5702e+05
YZ -1.9344e+08 -3.8683e+08 -5.7889e+08
XZ -6.2727e+06 -2.8690e+06 1.0085e+07
... ... ... ... ...
Export to a numpy.ndarray#
# To export to a numpy.ndarray, the DataFrame must contain data only for a single combination
# of values for column labels.
# select one step as our dataframe contains data for several
stress_1 = stress.select(set_ids=1)
print(stress_1)
# export it as a numpy.ndarray
stress_1_array = stress_1.array
print(stress_1_array)
results S (Pa)
set_ids 1
node_ids components
4872 XX 1.8630e+05
YY 8.2844e+06
ZZ -1.3700e+07
XY 5.9991e+05
YZ -1.9344e+08
XZ -6.2727e+06
... ... ...
[[ 1.86304666e+05 8.28436396e+06 -1.37003496e+07 5.99907420e+05
-1.93439042e+08 -6.27268473e+06]
[-4.26076223e+05 4.27353118e+06 3.61489620e+05 1.27870163e+07
-1.64836014e+08 3.78081724e+05]
[ 4.36222667e+06 2.02005176e+07 3.49514000e+07 5.31671006e+07
-1.69700130e+08 4.16285682e+06]
...
[ 2.43008628e+06 3.45306104e+05 -6.96869804e+07 -1.88974926e+06
1.78308703e+08 3.70653393e+07]
[-3.15639127e+06 -4.87652891e+07 -1.52290762e+08 3.59354599e+07
1.97891422e+08 2.65947999e+07]
[ 6.32054643e+05 -3.24065639e+07 -1.18464495e+08 4.38019212e+07
2.00763823e+08 2.51322083e+07]]
Total running time of the script: (0 minutes 0.389 seconds)