| 131,7 → 131,7 |
|---|
| |
| |
| def plot_results(block, measurements, flt_idx, flt_meas, cp0, np0, cp1, np1, sensor_ref): |
| """Plot calibration results.""" |
| """Plot calibration results in 2D graphs.""" |
| plt.subplot(3, 1, 1) |
| plt.plot(measurements[:, 0]) |
| plt.plot(measurements[:, 1]) |
| 139,8 → 139,8 |
|---|
| plt.plot(flt_idx, flt_meas[:, 0], 'ro') |
| plt.plot(flt_idx, flt_meas[:, 1], 'ro') |
| plt.plot(flt_idx, flt_meas[:, 2], 'ro') |
| plt.xlabel('time (s)') |
| plt.ylabel('ADC') |
| plt.xlabel('sample number') |
| plt.ylabel('miligauss') |
| plt.title('Raw sensors') |
| |
| plt.subplot(3, 2, 3) |
| 149,10 → 149,16 |
|---|
| plt.plot(cp0[:, 2]) |
| plt.plot(-sensor_ref*np.ones(len(flt_meas))) |
| plt.plot(sensor_ref*np.ones(len(flt_meas))) |
| plt.xlabel('sample number') |
| plt.ylabel('-') |
| plt.title('First approximation') |
| |
| plt.subplot(3, 2, 4) |
| plt.plot(np0) |
| plt.plot(sensor_ref*np.ones(len(flt_meas))) |
| plt.xlabel('sample number') |
| plt.ylabel('-') |
| plt.title('magnitude') |
| |
| plt.subplot(3, 2, 5) |
| plt.plot(cp1[:, 0]) |
| 160,10 → 166,16 |
|---|
| plt.plot(cp1[:, 2]) |
| plt.plot(-sensor_ref*np.ones(len(flt_meas))) |
| plt.plot(sensor_ref*np.ones(len(flt_meas))) |
| plt.xlabel('sample number') |
| plt.ylabel('-') |
| plt.title('separate axes') |
| |
| plt.subplot(3, 2, 6) |
| plt.plot(np1) |
| plt.plot(sensor_ref*np.ones(len(flt_meas))) |
| plt.xlabel('sample number') |
| plt.ylabel('-') |
| plt.title('magnitude') |
| |
| # if we want to have another plot we only draw the figure (non-blocking) |
| # also in matplotlib before 1.0.0 there is only one call to show possible |