def Plot_Station_Mean():
lons = load('%s/lons_good_stations' % workspace)
lats = load('%s/lats_good_stations' % workspace)
avg = load('%s/6var_avg_good_station' % (workspace))
vars = ['Pan', 'Tair', 'Rn', 'Wind', 'Humidity', 'VPD']
units = ['(mm)', r'($^oC$)', '(MJ/m2/d)', '(m/s)', '(hpa)', '(hpa)']
for i in xrange(0, 6):
Plotting.Mapshow(avg[:, i], lons, lats, 30, 0.7, None, None, 'jet',
vars[i], None, units[i], None, None)
savefig('%s/map_%s_avg_good_station.tif' % (figdir, vars[i]), dpi=200)
plt.clf()
return
def Plot_Selected_Station_Locations(j):
lons = load('%s/lons%s' %(workspace, station_list_names[j]))
lats = load('%s/lats%s' %(workspace, station_list_names[j]))
Plotting.Mapshow(cols[j], lons, lats, 45, 0.5, None, None, None, 'Qualified pan evaporation met stations (%s)' %len(lons), 'Met Stations', '', figdir, '%s_stations_scattermap.png' %fignames[j])
return
