def compare_means(member_id = 'aex' ,data_folder1 = '', label1 = '', data_folder2 = '', label2 = ''):
basin_path = 'data/infocell/amno180x172_basins.nc'
basin_indices = lowflow.read_basin_indices(basin_path)
for f in os.listdir(data_folder1):
if f.lower().startswith(member_id):
path1 = os.path.join(data_folder1, f)
for f in os.listdir(data_folder2):
if f.lower().startswith(member_id):
path2 = os.path.join(data_folder2, f)
discharge_1, times1, i_list, j_list = data_select.get_data_from_file(path1, 'water_discharge')
discharge_2, times2, i_list, j_list = data_select.get_data_from_file(path2, 'water_discharge')
discharge_values_1 = []
discharge_values_2 = []
for pos in range(discharge_1.shape[1]):
dates, discharge_tmp = pe.average_for_each_day_of_year(times1, discharge_1[:, pos], year = 2000)
discharge_values_1.append(np.array(discharge_tmp))
dates, discharge_tmp = pe.average_for_each_day_of_year(times2, discharge_2[:, pos], year = 2000)
discharge_values_2.append(np.array(discharge_tmp))
basin_to_discharge_1 = {}
basin_to_discharge_2 = {}
the_zip = zip(i_list, j_list, discharge_values_1, discharge_values_2)
for basin in basin_indices:
for i, j, d_1, d_2 in the_zip:
if basin.mask[i, j] == 1:
if basin_to_discharge_1.has_key(basin):
basin_to_discharge_1[basin] += d_1
basin_to_discharge_2[basin] += d_2
else:
basin_to_discharge_1[basin] = d_1
basin_to_discharge_2[basin] = d_2
for basin in basin_to_discharge_1.keys():
n = float(basin.get_number_of_cells())
basin_to_discharge_1[basin] /= n
basin_to_discharge_2[basin] /= n
plt.figure()
n = 1
for basin, d in basin_to_discharge_1.iteritems():
plt.subplot(7, 3, n)
plt.title(basin.name)
dicharge_line_1 = plt.plot(dates, d, linewidth = 2, color = 'b')
discharge_line_2 = plt.plot(dates, basin_to_discharge_2[basin],
linewidth = 2, color = 'r')
#runoff_line = plt.plot(dates, basin_to_runoff[basin])
ax = plt.gca()
ax.xaxis.set_major_locator(
mpl.dates.MonthLocator(bymonth = range(2,13,2))
)
ax.xaxis.set_major_formatter(
mpl.dates.DateFormatter('%b')
)
n += 1
plt.figlegend([dicharge_line_1, discharge_line_2], [label1, label2], 'upper right')
plt.savefig('{0}_hydrographs.png'.format(member_id), bbox_inches = 'tight')
pass
def plot_basin_mean_hydrograph(current_id = 'aex', future_id = None,
data_folder = 'data/streamflows/hydrosheds_euler7',
current_start_date = None, current_end_date = None,
future_start_date = None, future_end_date = None):
basin_path = 'data/infocell/amno180x172_basins.nc'
basin_indices = lowflow.read_basin_indices(basin_path)
for f in os.listdir(data_folder):
if f.lower().startswith(current_id):
path_current = os.path.join(data_folder, f)
if f.lower().startswith(future_id):
path_future = os.path.join(data_folder, f)
discharge_current, times_current, i_list, j_list = data_select.get_data_from_file(path_current, 'water_discharge')
discharge_future, times_future, i_list, j_list = data_select.get_data_from_file(path_future, 'water_discharge')
discharge_values_current = []
discharge_values_future = []
for pos in range(discharge_current.shape[1]):
dates, discharge1 = pe.average_for_each_day_of_year(times_current, discharge_current[:, pos],
start_date = current_start_date,
end_date = current_end_date, year = 2000)
discharge_values_current.append(np.array(discharge1))
dates, discharge1 = pe.average_for_each_day_of_year(times_future, discharge_future[:, pos],
start_date = future_start_date,
end_date = future_end_date, year = 2000)
discharge_values_future.append(np.array(discharge1))
basin_to_discharge_current = {}
basin_to_discharge_future = {}
the_zip = zip(i_list, j_list, discharge_values_current, discharge_values_future)
for basin in basin_indices:
for i, j, d_current, d_future in the_zip:
if basin.mask[i, j] == 1:
if basin_to_discharge_current.has_key(basin):
basin_to_discharge_current[basin] += d_current
basin_to_discharge_future[basin] += d_future
else:
basin_to_discharge_current[basin] = d_current
basin_to_discharge_future[basin] = d_future
for basin in basin_to_discharge_current.keys():
n = float(basin.get_number_of_cells())
basin_to_discharge_current[basin] /= n
basin_to_discharge_future[basin] /= n
plt.figure()
n = 1
plt.subplots_adjust(hspace = 0.5)
for basin, d in basin_to_discharge_current.iteritems():
plt.subplot(7, 3, n)
plt.title(basin.name)
dicharge_line_current = plt.plot(dates, d, linewidth = 2, color = 'b')
discharge_line_future = plt.plot(dates, basin_to_discharge_future[basin], linewidth = 2,
color = 'r')
plt.ylabel('${\\rm m^3/s}$')
#runoff_line = plt.plot(dates, basin_to_runoff[basin])
ax = plt.gca()
ax.xaxis.set_major_locator(
mpl.dates.MonthLocator(bymonth = range(2,13,2))
)
ax.xaxis.set_major_formatter(
mpl.dates.DateFormatter('%b')
)
n += 1
plt.figlegend([dicharge_line_current, discharge_line_future], ['current', 'future'], 'upper right')
plt.savefig('{0}_{1}_hydrographs.png'.format(current_id, future_id), bbox_inches = 'tight')
pass
