Import and Export¶

Guide for importing and exporting data in various formats.

Export to Matlab¶

# Export entire dataset
dvma.export_to_matlab(dataset)

# This creates a .mat file with all data structures

The Matlab file contains: - Time data - Frequency data - Transfer function data - Settings and metadata

Export to CSV¶

# Export time data
dvma.export_to_csv(dataset.time_data_list)

# Export frequency data
dvma.export_to_csv(dataset.freq_data_list)

# Export transfer function data
dvma.export_to_csv(dataset.tf_data_list)

Import from Matlab¶

# Import data from JW Logger format
dataset = dvma.import_from_matlab_jwlogger()

Save and Load a DataSet (native format)¶

# Save dataset — opens a file-save dialog if filename is omitted
dvma.save_data(dataset, filename='dataset.npy')

# Load dataset — opens a file-open dialog if filename is omitted
dataset = dvma.load_data(filename='dataset.npy')

Internally this uses numpy.save / numpy.load on a one-element object array wrapping the DataSet, so a saved file is a .npy. The helpers handle overwrite prompts and dialog fallback; prefer them over a raw pickle.

Export Plots¶

import matplotlib.pyplot as plt

# After creating a plot
plt.savefig('figure.png', dpi=300, bbox_inches='tight')
plt.savefig('figure.pdf', bbox_inches='tight')