Skip to content
Snippets Groups Projects
plotting.py 2.71 KiB
Newer Older
from matplotlib import pyplot as plt
import numpy as np
import matplotlib
import matplotlib.patches as patches
import cartopy.crs as ccrs
import cartopy.feature as cfeature
# plots the wave state (all wavetroughs given specific timestep in a set) ts: pb2.Timestep
def plot_wavetroughs(ts, fig_name, cv=None):
    fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(8, 4), subplot_kw=dict(projection=ccrs.PlateCarree()))

    x_ticks = [-100, -95, -85, -75, -65, -55, -45, -35, -25, -15, -5, 5, 15, 25, 35]
    y_ticks = [0, 10, 20, 30]
    extent = [-100, -45, -35, 35]

    if cv is not None:
        levelfc = np.asarray([0, 0.5, 1, 2, 3]) * 1e-5
        cv.plot.contourf(levels=levelfc, vmin=0, extend='max', cmap='Blues')

    # generate plot per pressure level, per time step

    # colors per time step
    # min_time = wave_thr_list[0].time.astype('float64')
    # max_time = wave_thr_list[-1].time.astype('float64')
    # cmap = matplotlib.cm.get_cmap('rainbow')
    # color_wgts = np.linspace(0.0, 1.0, len(wave_thr_list))
    # colors = ['red', 'yellow', 'green', 'blue', 'purple']

    vt = ts.valid_time
    for obj_idx, obj in enumerate(ts.objects):
        # time64 = wave.time.astype('float64')
        # time_weight = (time64 - min_time) / (max_time - min_time) if max_time > min_time else 1.0

        line_pts = obj.properties.line_pts
        line = patches.Path([[p.lon, p.lat] for p in line_pts])
        patch = patches.PathPatch(line, linewidth=2, facecolor='none', edgecolor='red') # cmap(time_weight)
        ax.add_patch(patch)

    ax.coastlines()
    ax.add_feature(cfeature.BORDERS.with_scale('50m'))
    ax.set_extent(extent, crs=ccrs.PlateCarree())
    yt1 = ax.set_yticks(y_ticks, crs=ccrs.PlateCarree())
    xt1 = ax.set_xticks(x_ticks, crs=ccrs.PlateCarree())

    figure_name = fig_name.replace(':', '_') + '_aew_troughs.png'
    plt.savefig(figure_name, format='png')

    plt.figure().clear()
    plt.close()
    plt.cla()
    plt.clf()

    return figure_name


def plot_timesteps_from_desc(object_desc, cv=None):
    # plot for each set for each timestep everything detected.
    from enstools.feature.util.data_utils import get_subset_by_description

    for set_idx, od_set in enumerate(object_desc.sets):
        fn = "set_" + str(set_idx)  # TODO better to_string

        cv_set = get_subset_by_description(cv, od_set)

        for ts in od_set.timesteps:
            cv_st = cv_set.sel(time=ts.valid_time).cv
            fnt = fn + "_" + ts.valid_time
            print(fnt)
            # ts.validTime / .objects
            fout_name = plot_wavetroughs(ts, fnt, cv=cv_st)
            print(fout_name)

    return None

def plot_waves_from_desc(object_desc, cv=None):
    # TODO get "waves"
    # for each wave: plot.

    pass