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Do you have any examples where a 1.) step is to open a demo cvs file, and parse the necessary data to be able to apply your package to the data?
I'm needing help starting from square one.
Android-Go01_MetaWear-01_2022-03-26T11.14.56.138_F5EC5C968CB3_Accelerometer_1.3.6.csv
The text was updated successfully, but these errors were encountered:
you could import your data into a pandas data frame and then do something like this:
import pandas as pd import sensormotion as sm df = pd.read_csv('file.csv') b, a = sm.signal.build_filter(frequency=10, sample_rate=100, filter_type='low', filter_order=4) x_filtered = sm.signal.filter_signal(b, a, signal=df['x-axis (g)']) peak_times, peak_values = sm.peak.find_peaks(time=df['epoch (ms)'], signal=x_filtered, peak_type='valley', min_val=0.6, min_dist=30, plot=True)
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Do you have any examples where a 1.) step is to open a demo cvs file, and parse the necessary data to be able to apply your package to the data?
I'm needing help starting from square one.
Android-Go01_MetaWear-01_2022-03-26T11.14.56.138_F5EC5C968CB3_Accelerometer_1.3.6.csv
The text was updated successfully, but these errors were encountered: