This module defines an UFF class to manipulate with the UFF (Universal File Format) files.
Read from and write of data-set types 15, 55, 58, 58b, 82, 151, 164, 2411, 2412, 2414, 2420 are supported.
Check out the documentation.
To install the package, run:
pip install pyuffTo analyse UFF file we first load the uff module and example file:
import pyuff
uff_file = pyuff.UFF('data/beam.uff')To check which datasets are written in the file use:
uff_file.get_set_types()To load all datasets from the UFF file to data object use:
data = uff_file.read_sets()The first dataset 58 contains following keys:
data[4].keys()Most important keys are x: x-axis and data: y-axis that define the stored response:
plt.semilogy(data[4]['x'], np.abs(data[4]['data']))
plt.xlabel('Frequency [Hz]')
plt.ylabel('FRF Magnitude [dB m/N]')
plt.xlim([0,1000])
plt.show()Loading the accelerance data:
measurement_point_1 = np.genfromtxt('data/meas_point_1.txt', dtype=complex)
measurement_point_2 = np.genfromtxt('data/meas_point_2.txt', dtype=complex)
measurement_point_3 = np.genfromtxt('data/meas_point_3.txt', dtype=complex)measurement_point_1[0] = np.nan*(1+1.j)measurement = [measurement_point_1, measurement_point_2, measurement_point_3]Creating the UFF file where we add dataset 58 for measurement consisting of the dictionary-like keys containing the measurement data and the information about the measurement:
for i in range(3):
print('Adding point {:}'.format(i + 1))
response_node = 1
response_direction = 1
reference_node = i + 1
reference_direction = 1
acceleration_complex = measurement[i]
frequency = np.arange(0, 1001)
name = 'TestCase'
data = {'type':58,
'func_type': 4,
'rsp_node': response_node,
'rsp_dir': response_direction,
'ref_dir': reference_direction,
'ref_node': reference_node,
'data': acceleration_complex,
'x': frequency,
'id1': 'id1',
'rsp_ent_name': name,
'ref_ent_name': name,
'abscissa_spacing':1,
'abscissa_spec_data_type':18,
'ordinate_spec_data_type':12,
'orddenom_spec_data_type':13}
uffwrite = pyuff.UFF('./data/measurement.uff')
uffwrite.write_set(data,'add')Or we can use support function prepare_58 to prepare the dictionary for creating the UFF file. Functions for other datasets can be found in supported datasets.
for i in range(3):
print('Adding point {:}'.format(i + 1))
response_node = 1
response_direction = 1
reference_node = i + 1
reference_direction = 1
acceleration_complex = measurement[i]
frequency = np.arange(0, 1001)
name = 'TestCase'
pyuff.prepare_58(func_type=4,
rsp_node=response_node,
rsp_dir=response_direction,
ref_dir=reference_direction,
ref_node=reference_node,
data=acceleration_complex,
x=frequency,
id1='id1',
rsp_ent_name=name,
ref_ent_name=name,
abscissa_spacing=1,
abscissa_spec_data_type=18,
ordinate_spec_data_type=12,
orddenom_spec_data_type=13)
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