|
| 1 | +""" |
| 2 | +Count pixel used |
| 3 | +====================== |
| 4 | +
|
| 5 | +""" |
| 6 | + |
| 7 | +from matplotlib import pyplot as plt |
| 8 | +from py_eddy_tracker.observations.tracking import TrackEddiesObservations |
| 9 | +import py_eddy_tracker_sample |
| 10 | + |
| 11 | + |
| 12 | +a = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Anticyclonic.zarr")) |
| 13 | +c = TrackEddiesObservations.load_file(py_eddy_tracker_sample.get_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")) |
| 14 | + |
| 15 | +# Plot |
| 16 | +fig = plt.figure(figsize=(15, 20)) |
| 17 | +ax_a = fig.add_subplot(311) |
| 18 | +ax_a.set_title('Anticyclonic frequency') |
| 19 | +ax_c = fig.add_subplot(312) |
| 20 | +ax_c.set_title('Cyclonic frequency') |
| 21 | +ax_all = fig.add_subplot(313) |
| 22 | +ax_all.set_title('All eddies frequency') |
| 23 | + |
| 24 | +step = 0.1 |
| 25 | +kwargs_pcolormesh = dict(cmap='terrain_r', vmin=0, vmax=.75) |
| 26 | +g_a = a.grid_count(((-5, 37, step), (30, 46, step)), intern=True) |
| 27 | +t0, t1 = a.period |
| 28 | +g_a.vars["count"] = g_a.vars["count"] / (t1 - t0) |
| 29 | +m = g_a.display(ax_a, name="count", **kwargs_pcolormesh) |
| 30 | + |
| 31 | +g_c = c.grid_count(((-5, 37, step), (30, 46, step)), intern=True) |
| 32 | +t0, t1 = c.period |
| 33 | +g_c.vars["count"] = g_c.vars["count"] / (t1 - t0) |
| 34 | +m = g_c.display(ax_c, name="count", **kwargs_pcolormesh) |
| 35 | + |
| 36 | +m_c = g_c.vars["count"].mask |
| 37 | +m = m_c & g_a.vars["count"].mask |
| 38 | +g_c.vars["count"][m_c] = 0 |
| 39 | +g_c.vars["count"] += g_a.vars["count"] |
| 40 | +g_c.vars["count"].mask = m |
| 41 | + |
| 42 | +m = g_c.display(ax_all, name="count", **kwargs_pcolormesh) |
| 43 | + |
| 44 | +for ax in (ax_a, ax_c, ax_all): |
| 45 | + ax.set_aspect("equal") |
| 46 | + ax.set_xlim(-5, 37) |
| 47 | + ax.set_ylim(30, 46) |
| 48 | + ax.grid() |
| 49 | + |
| 50 | +plt.colorbar(m, cax=fig.add_axes([0.95, 0.05, 0.01, 0.9])) |
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