Lines Matching full:numpy
3 import numpy
14 numpy.random.seed(0)
75 array = numpy.random.uniform(0, 1, 1000000)
93 noise = numpy.random.standard_normal(samples) * 0.005
94 x = numpy.linspace(0.0, (samples - 1) * 1.0 / rate, samples)
95 y = (coeff_1 * numpy.sin(freq_1 * 2.0 * numpy.pi * x) +
96 coeff_2 * numpy.sin(freq_2 * 2.0 * numpy.pi * x)) + noise
135 noise = numpy.random.standard_normal(samples) * noise_amplitude
150 expected = numpy.array([0.1, 0.2, 0.3, 0.4, 0.5])
159 numpy.random.seed(0)
166 x = numpy.linspace(
168 self.y = numpy.sin(self.freq * 2.0 * numpy.pi * x)
174 noise = numpy.random.standard_normal(len(self.y)) * noise_amplitude
186 self.y = numpy.insert(self.y, int(self.anomaly_start_secs * self.rate),
197 self.y = numpy.append(self.y[:anomaly_start_index], self.y[anomaly_append_index:])
