ys = np.linspace(-1, 1, 50) X, Y = np.meshgrid(xs, ys) vals = np.linspace(0, 180.0 / np.pi, 100) phi = np.ones((len(vals), 50, 50), dtype=np.float64) for i, val in enumerate(vals): phi[i] *= val R = 1 - np.sqrt(X**2 + Y**2) samples = np.cos(2 * np.pi * X + phi) * R timestamps = np.arange(0, 2, 0.02) s_map = Signal(samples=samples, timestamps=timestamps, name="Variable Map Signal", unit="dB") s_map.plot() prod = s_float64 * s_uint8 prod.name = "Uint8_Signal * Float64_Signal" prod.unit = "*" prod.plot() pow2 = s_uint8**2 pow2.name = "Uint8_Signal ^ 2" pow2.unit = "u1^2" pow2.plot() allsum = s_uint8 + s_int32 + s_float64 allsum.name = "Uint8_Signal + Int32_Signal + Float64_Signal" allsum.unit = "+" allsum.plot()
s_float64 = Signal(samples=np.array(list(range(2000, -1000, -1000)), dtype=np.int32), timestamps=timestamps, name='Float64_Signal', unit='f8') prod = s_float64 * s_uint8 prod.name = 'Uint8_Signal * Float64_Signal' prod.unit = '*' prod.plot() pow2 = s_uint8**2 pow2.name = 'Uint8_Signal ^ 2' pow2.unit = 'u1^2' pow2.plot() allsum = s_uint8 + s_int32 + s_float64 allsum.name = 'Uint8_Signal + Int32_Signal + Float64_Signal' allsum.unit = '+' allsum.plot() # inplace operations pow2 *= -1 pow2.name = '- Uint8_Signal ^ 2' pow2.plot() # cut signal s_int32.plot() cut_signal = s_int32.cut(start=0.2, stop=0.35) cut_signal.plot()