Lines Matching full:numpy
3 import numpy
13 numpy.random.seed(0)
24 noise = numpy.random.standard_normal(samples) * 0.005
25 x = numpy.linspace(0.0, (samples - 1) * 1.0 / rate, samples)
26 y = (coeff_1 * numpy.sin(freq_1 * 2.0 * numpy.pi * x) +
27 coeff_2 * numpy.sin(freq_2 * 2.0 * numpy.pi * x)) + noise
64 noise = numpy.random.standard_normal(samples) * noise_amplitude
79 expected = numpy.array([0.1, 0.2, 0.3, 0.4, 0.5])
88 numpy.random.seed(0)
95 x = numpy.linspace(
97 self.y = numpy.sin(self.freq * 2.0 * numpy.pi * x)
103 noise = numpy.random.standard_normal(len(self.y)) * noise_amplitude
115 self.y = numpy.insert(self.y, int(self.anomaly_start_secs * self.rate),
126 self.y = numpy.append(self.y[:anomaly_start_index], self.y[anomaly_append_index:])
