def main():
basemap = polar_stereographic.basemap
xs = polar_stereographic.xs
ys = polar_stereographic.ys
basin_patches = get_features_from_shape(basemap,linewidth = 0.5)
cache_file = 'cache_high_dates.bin'
if os.path.isfile(cache_file):
data = pickle.load(open(cache_file))
to_plot_current = data[0]
to_plot_future = data[1]
else:
db = OccurrencesDB()
current_days = db.get_mean_dates_of_maximum_annual_flow(current = True)
print 'got current dates'
future_days = db.get_mean_dates_of_maximum_annual_flow(current = False)
print 'got future dates'
print 'got data, plotting ...'
to_plot_current = np.ma.masked_all(xs.shape)
to_plot_future = np.ma.masked_all(xs.shape)
for i, j, c_day, f_day in zip(db.i_indices, db.j_indices, current_days, future_days):
to_plot_current[i, j] = c_day
to_plot_future[i, j] = f_day
data = [to_plot_current, to_plot_future]
pickle.dump(data, open(cache_file, 'wb'))
plt.figure()
plt.subplot(1, 2, 1)
basemap.pcolormesh(xs, ys, to_plot_current, vmin=1, vmax=300, cmap=mpl.cm.get_cmap('jet', 10))
basemap.drawcoastlines(linewidth=0.3)
# plot_basin_boundaries_from_shape(basemap, plotter = plt, linewidth = 0.5)
plot_patches(plt, get_copies(basin_patches))
zoom_to_qc()
cb = plt.colorbar(ticks = MaxNLocator(nbins = 10))
plt.title('current mean')
plt.subplot(1, 2, 2)
basemap.pcolormesh(xs, ys, to_plot_future, vmin=1, vmax=300, cmap=mpl.cm.get_cmap('jet', 10))
basemap.drawcoastlines(linewidth=0.3)
zoom_to_qc()
plot_patches(plt, get_copies(basin_patches))
# plot_basin_boundaries_from_shape(basemap, plotter = plt)
plt.title('future mean')
plt.colorbar(ticks = MaxNLocator(nbins = 10))
plt.savefig('high_dates.png')
def main():
db = OccurrencesDB()
#define animation period
current_start_date = datetime(1996,3,1,0,0,0)
current_end_date = datetime(1999,8,1,0,0,0)
future_start_date = datetime(2067,3,1,0,0,0)
future_end_date = datetime(2070,8,1,0,0,0)
simulation_step = timedelta(days = 5)
#domain properties
xs = polar_stereographic.xs
ys = polar_stereographic.ys
basemap = polar_stereographic.basemap
positions = db.get_all_positions()
i_indices = db.i_indices
j_indices = db.j_indices
index_zip = zip(i_indices, j_indices, positions)
basin_patches = get_features_from_shape(basemap,linewidth = 0.5)
#plot plots
i = 0
current_time = current_start_date
future_time = future_start_date
while current_time < current_end_date:
to_plot_current = np.ma.masked_all(xs.shape)
to_plot_future = np.ma.masked_all(xs.shape)
for x, y, position in index_zip:
current_year_pos = YearPositionObject(current_time.year, position)
future_year_pos = YearPositionObject(future_time.year, position)
to_plot_current[x, y] = \
db.get_measure_of_distance_to_high_event(current_year_pos, current_time, current = True)
to_plot_future[x, y] = \
db.get_measure_of_distance_to_high_event(future_year_pos, future_time, current = False)
#actual plotting
plt.figure()
plt.subplot(1,2,1)
basemap.pcolormesh(xs, ys, to_plot_current, vmin = 0, vmax = 1, cmap = 'Blues')
basemap.drawcoastlines(linewidth = 0.3)
# plot_basin_boundaries_from_shape(basemap, plotter = plt, linewidth = 0.5)
plot_patches(plt, get_copies(basin_patches))
zoom_to_qc()
plt.title(current_time.strftime('current: %Y-%m-%d'))
plt.subplot(1,2,2)
basemap.pcolormesh(xs, ys, to_plot_future, vmin = 0, vmax = 1, cmap = 'Blues', linewidth = 0.5)
basemap.drawcoastlines(linewidth = 0.3)
zoom_to_qc()
plot_patches(plt, get_copies(basin_patches))
# plot_basin_boundaries_from_shape(basemap, plotter = plt)
plt.title(future_time.strftime('future: %Y-%m-%d'))
plt.savefig('frame_%010d.png' % i)
i += 1
current_time += simulation_step
future_time += simulation_step
if current_time.month > current_end_date.month:
current_time = datetime(current_time.year + 1, current_start_date.month, current_start_date.day)
future_time = datetime(future_time.year + 1, future_start_date.month, future_start_date.day)
pass
