import pyActigraphy
from pytest import approx
sampling_period = 60
frequency = pd.Timedelta(sampling_period, unit='s')
start_time = '01/01/2018 08:00:00'
N = 20160
period = pd.Timedelta(N * sampling_period, unit='s')
gaussian_noise = generate_series(generate_gaussian_noise(N=N),
start=start_time,
sampling_period=sampling_period)
square_wave = generate_series(generate_squarewave(N=N),
start=start_time,
sampling_period=sampling_period)
sine_wave = generate_series(generate_sinewave(N=N),
start=start_time,
sampling_period=sampling_period)
raw_gaussian = pyActigraphy.io.BaseRaw(name='raw_gaussian',
uuid='XXXXXXXX',
format='CUSTOM',
axial_mode=None,
start_time=pd.to_datetime(start_time),
period=period,
frequency=frequency,
data=gaussian_noise,
light=None)
raw_squarewave = pyActigraphy.io.BaseRaw(name='raw_square',
uuid='XXXXXXXX',
format='CUSTOM',
sampling_period = 60
frequency = pd.Timedelta(sampling_period, unit='s')
start_time = '01/01/2000 08:00:00'
N = 10080
period = pd.Timedelta(N * sampling_period, unit='s')
# Set seed for reproducibility
np.random.seed(0)
sine_wave = generate_series(
generate_sinewave(
N=N, # number of samples
T=1440 * 60, # period in sec: 24*60*60
Ts=60, # sampling rate (sec.)
A=100, # oscillation amplitude
add_noise=True, # add gaussian noise
noise_power=100,
offset=True # offset oscillations between 0 and +2A
),
start=start_time,
sampling_period=sampling_period)
raw_sinewave = pyActigraphy.io.BaseRaw(name='raw_sinewave',
uuid='XXXXXXXX',
format='CUSTOM',
axial_mode=None,
start_time=pd.to_datetime(start_time),
period=period,
frequency=frequency,
data=sine_wave,
# from generate_dataset import generate_gaussian_noise
from generate_dataset import generate_series
# from generate_dataset import generate_squarewave
from generate_dataset import generate_sinewave
import pandas as pd
import pyActigraphy
from pytest import approx
sampling_period = 60
frequency = pd.Timedelta(sampling_period, unit='s')
start_time = '01/01/2018 08:00:00'
N = 20160
period = pd.Timedelta(N * sampling_period, unit='s')
sine_wave_mask = generate_series(generate_sinewave(N=N, offset=True),
start=start_time,
sampling_period=sampling_period)
sine_wave_mask.loc['2018-01-03 06:00:00':'2018-01-03 14:00:00'] = 0
raw_sinewave_mask = pyActigraphy.io.BaseRaw(
name='raw_sinewave',
uuid='XXXXXXXX',
format='CUSTOM',
axial_mode=None,
start_time=pd.to_datetime(start_time),
period=period,
frequency=frequency,
data=sine_wave_mask,
light=None)
from generate_dataset import generate_series
from generate_dataset import generate_sinewave
import pandas as pd
import pyActigraphy
from pytest import approx
sampling_period = 60
frequency = pd.Timedelta(sampling_period, unit='s')
start_time = '01/01/2018 08:00:00'
N = 20800 * sampling_period
period = pd.Timedelta(N, unit='s')
sine_wave = generate_series(generate_sinewave(A=100, offset=True, N=N - 1),
start=start_time,
sampling_period=sampling_period)
raw_sinewave = pyActigraphy.io.BaseRaw(name='raw_sinewave',
uuid='XXXXXXXX',
format='CUSTOM',
axial_mode=None,
start_time=pd.to_datetime(start_time),
period=period,
frequency=frequency,
data=sine_wave,
light=None)
def test_sri_sinewave():
assert raw_sinewave.SleepRegularityIndex(freq='5min',