Parameter Histogram

from matplotlib import pyplot as plt
from numpy import arange
import py_eddy_tracker_sample

from py_eddy_tracker.observations.tracking import TrackEddiesObservations

Load an experimental med atlas over a period of 26 years (1993-2019)

a = TrackEddiesObservations.load_file(
    py_eddy_tracker_sample.get_demo_path(
        "eddies_med_adt_allsat_dt2018/Anticyclonic.zarr"
    )
)
c = TrackEddiesObservations.load_file(
    py_eddy_tracker_sample.get_demo_path("eddies_med_adt_allsat_dt2018/Cyclonic.zarr")
)
kwargs_a = dict(label="Anticyclonic", color="r", histtype="step", density=True)
kwargs_c = dict(label="Cyclonic", color="b", histtype="step", density=True)

Plot

fig = plt.figure(figsize=(12, 7))

for x0, name, title, xmax, factor, bins in zip(
    (0.4, 0.72, 0.08),
    ("speed_radius", "speed_average", "amplitude"),
    ("Speed radius (km)", "Speed average (cm/s)", "Amplitude (cm)"),
    (100, 50, 20),
    (0.001, 100, 100),
    (arange(0, 2000, 1), arange(0, 1000, 0.5), arange(0.0005, 1000, 0.2)),
):
    ax_hist = fig.add_axes((x0, 0.24, 0.27, 0.35))
    nb_a, _, _ = ax_hist.hist(a[name] * factor, bins=bins, **kwargs_a)
    nb_c, _, _ = ax_hist.hist(c[name] * factor, bins=bins, **kwargs_c)
    ax_hist.set_xticklabels([])
    ax_hist.set_xlim(0, xmax)
    ax_hist.grid()

    ax_cum = fig.add_axes((x0, 0.62, 0.27, 0.35))
    ax_cum.hist(a[name] * factor, bins=bins, cumulative=-1, **kwargs_a)
    ax_cum.hist(c[name] * factor, bins=bins, cumulative=-1, **kwargs_c)
    ax_cum.set_xticklabels([])
    ax_cum.set_title(title)
    ax_cum.set_xlim(0, xmax)
    ax_cum.set_ylim(0, 1)
    ax_cum.grid()

    ax_ratio = fig.add_axes((x0, 0.06, 0.27, 0.15))
    ax_ratio.set_xlim(0, xmax)
    ax_ratio.set_ylim(0, 2)
    ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)
    ax_ratio.axhline(1, color="k")
    ax_ratio.grid()
    ax_ratio.set_xlabel(title)

ax_cum.set_ylabel("Cumulative\npercent distribution")
ax_hist.set_ylabel("Percent of observations")
ax_ratio.set_ylabel("Ratio percent\nCyc/Acyc")
ax_cum.legend()

/home/docs/checkouts/readthedocs.org/user_builds/py-eddy-tracker/checkouts/latest/examples/10_tracking_diagnostics/pet_histo.py:56: RuntimeWarning: divide by zero encountered in divide
  ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)
/home/docs/checkouts/readthedocs.org/user_builds/py-eddy-tracker/checkouts/latest/examples/10_tracking_diagnostics/pet_histo.py:56: RuntimeWarning: invalid value encountered in divide
  ax_ratio.plot((bins[1:] + bins[:-1]) / 2, nb_c / nb_a)

<matplotlib.legend.Legend object at 0x7f2518724310>