if grid == region:
gridregion = grid
else:
gridregion = grid + region
if interp[0:2] == 'WV':
fcst_var_name = fcst_var_name + "_" + interp
start_date_formatted = datetime.datetime.strptime(
start_date_YYYYmmdd, "%Y%m%d").strftime('%d%b%Y')
end_date_formatted = datetime.datetime.strptime(
end_date_YYYYmmdd, "%Y%m%d").strftime('%d%b%Y')
var_info_title = plot_title.get_var_info_title(fcst_var_name,
fcst_var_level,
fcst_var_extra, 'all')
region_title = plot_title.get_region_title(region)
date_info_title = plot_title.get_date_info_title(
plot_time, valid_time_info, init_time_info, start_date_formatted,
end_date_formatted, verif_case)
forecast_lead_title = plot_title.get_lead_title(lead)
full_title = (stat_plot_name + "\n" + var_info_title + ", " +
region_title + "\n" + date_info_title + ", " +
forecast_lead_title)
ax1.set_title(full_title, loc=title_loc)
fig.figimage(noaa_logo_img_array,
noaa_logo_xpixel_loc,
noaa_logo_ypixel_loc,
zorder=1,
alpha=noaa_logo_alpha)
fig.figimage(nws_logo_img_array,
nws_logo_xpixel_loc,
nws_logo_ypixel_loc,
zorder=1,
# Build formal plot title
if grid == region:
gridregion = grid
else:
gridregion = grid+region
if interp[0:2] == 'WV':
fcst_var_name = fcst_var_name+"_"+interp
var_info_title = plot_title.get_var_info_title(
fcst_var_name, fcst_var_level, fcst_var_extra, fcst_var_thresh
)
region_title = plot_title.get_region_title(region)
date_info_title = plot_title.get_date_info_title(
plot_time, valid_time_info, init_time_info,
str(datetime.date.fromordinal(int(
plot_time_dates[0])
).strftime('%d%b%Y')),
str(datetime.date.fromordinal(int(
plot_time_dates[-1])
).strftime('%d%b%Y')),
verif_case
)
forecast_lead_title = plot_title.get_lead_title(lead)
full_title = (
stat_plot_name+"\n"
+var_info_title+", "+region_title+"\n"
+date_info_title+", "+forecast_lead_title
)
ax.set_title(full_title, loc=title_loc)
fig.figimage(noaa_logo_img_array,
noaa_logo_xpixel_loc, noaa_logo_ypixel_loc,
zorder=1, alpha=noaa_logo_alpha)
fig.figimage(nws_logo_img_array,