def create_simple_legend(self, skip_duplicates=True):
'''
Wrapper around Pycane's legend creation function
that uses configured legend position and alpha settings
'''
pycane_bling.create_simple_legend(skip_duplicates=skip_duplicates,
alpha=self.cfg.legend_alpha,
position=self.cfg.legend_position)
tcv_plot_helper.plot_tcv_metric_vs_fhr(
forecast_track,
metric,
y_label=yLabel,
time_axis_parameter="epoch_zeta",
label=label,
color=colors[i])
#plt.legend()
#plt.figure("maxwind_value")
#plt.plot(maxwinds, color=colors[i], lw=line_width, label=label)
#plt.legend()
plt.figure("tracks")
bling.decorate_map(m)
# options worth testing: water_color='#99ffff',lake_color='#99ffff',
#continent_color='#cc9966'
# plot legend. The skip_duplicates arg must be True since the plot_track()
# function actually plots multiple lines for each track in order to vary
# the intensity of the color based on the max wind value
bling.create_simple_legend(skip_duplicates=True, position='upper right')
plt.savefig('tracks.png')
plt.figure("mslp_value")
plt.legend(loc='best')
plt.savefig("mslp.png")
plt.figure("maxwind_value")
plt.legend(loc='best')
plt.savefig("maxwind.png")
m = track_plotter.plot_track(lats, lons, windspeeds=maxwinds, indicator_freq=day_idc,
line_color='black', ns_gridline_freq=10, we_gridline_freq=10,
flagged_idc=flagged_idc,
label = 'gfdl')
# nolan (converted to diapost format)
forecast_track = trkutils.get_diapost_track_data(hnr1_nolan_diapost)
lons = [entry.lon for entry in forecast_track.tracker_entries]
lats = [entry.lat for entry in forecast_track.tracker_entries]
fhrs = [entry.fhr for entry in forecast_track.tracker_entries]
maxwinds = [entry.maxwind_value for entry in forecast_track.tracker_entries]
flagged = [entry.flagged for entry in forecast_track.tracker_entries]
flagged_idc = [ i for i,v in enumerate(flagged) if v is True ]
day_idc = [ idx for idx,val in enumerate(fhrs) if val%TIME_MARKER_INTERVAL == 0 ]
track_plotter.plot_track(lats, lons, windspeeds=maxwinds, indicator_freq=day_idc,
line_color='red', ns_gridline_freq=10, we_gridline_freq=10,
line_style='--',
flagged_idc=flagged_idc,
basemap = m,
label = 'nolan')
bling.decorate_map(m)
# options worth testing: water_color='#99ffff',lake_color='#99ffff',
#continent_color='#cc9966'
# plot legend. The skip_duplicates arg must be True since the plot_track()
# function actually plots multiple lines for each track in order to vary
# the intensity of the color based on the max wind value
bling.create_simple_legend(skip_duplicates=True)
plt.savefig('hnr1_tracks.png')