Plot visualisation when using hp.process_segmentwise

[FrancoisCosta]

Hi Paul,

When using the hp.process_segmentwise() function I have not been able to figure out how to plot separate graphs for each segment (other than separating the data beforehand). Is there a way to do this?

Cheers!

[paulvangentcom]

How would you expect this functionality to behave?

I like the idea but I'm having some trouble seeing exactly what a good implementation would be. For example. if there are 100 segments, you wouldn't want 100 plots puked across the screen.

Let me know if you have ideas.

• Paul

[FrancoisCosta]

Hi Paul,

Good point! Perhaps the graphs could be saved to a new folder within the directory rather than being displayed? With each graph being named using something like:

for i in range(len(working_data_segment['segment_indices'])): plt.savefig('folder_name/graph_title_(%d).png' % i, bbox_inches='tight')

A useful feature would be to be able to input a range of segments that you would like to be saved (and potentially the step)

def save_segment_graphs (..., start=20, end= 40, step=2)

Would give the graphs for segments (20, 22, 24 ... 38, 40)

Let me know what you think :)

Francois

[paulvangentcom]

Alright that is a good idea for the functionality. Let me see what I can implement

[paulvangentcom]

Please pull latest version and see the docs for full documentation here.

Example with data-file from repo:

import heartpy as hp

data = hp.get_data('data3.csv', column_name='hr')
data = hp.filtersignal(data, cutoff=[0.5, 3.5], sample_rate=100.0, order=3, filtertype='bandpass')
data = hp.scale_data(data)

#process it
wd, m = hp.process_segmentwise(data, 100.0, segment_width=60, segment_overlap=0.5, high_precision=True)

#use new function
hp.segment_plotter(wd, m, path='resulting_plots')

[paulvangentcom]

Above code results in this by the way: