Get reduced matrices and make export

This example shows how to get reduced matrices and export them to hdf5 and csv format.

Import dpf module and its examples files, and create a temporary directory

from ansys.dpf import core as dpf
from ansys.dpf.core import examples
from ansys.dpf.core import operators as ops

import os
import tempfile
tmpdir = tempfile.mkdtemp()

Create the operator and connect dataSources

ds = dpf.DataSources(examples.download_sub_file())

matrices_provider = ops.result.cms_matrices_provider()
matrices_provider.inputs.data_sources.connect(ds)

Get result fields container that contains the reduced matrices

fields = matrices_provider.outputs.fields_container()

len(fields)

fields[0].data

Out:

array([[ 5.53476768e+11, -2.29728435e+10,  2.29728435e+10, ...,
         0.00000000e+00,  0.00000000e+00,  2.91225427e+05]])

Export the result fields container in hdf5 format

h5_op = ops.serialization.serialize_to_hdf5()
h5_op.inputs.data1.connect(matrices_provider.outputs)
h5_op.inputs.file_path.connect(os.path.join(tmpdir, 'matrices.h5'))
h5_op.run()

Export the result fields container in csv format

csv_op = ops.serialization.field_to_csv()
csv_op.inputs.field_or_fields_container.connect(matrices_provider.outputs)
csv_op.inputs.file_path.connect(os.path.join(tmpdir, 'matrices.csv'))
csv_op.run()

Hdf5 export and compare precision Contributing