def create_map(start, end, ar_obs, ar_instr, sp_obs, sp_instr):
# setting active regions
data = DataAccess(start, end, 'AR', ar_obs, ar_instr)
chain_encoded = prep.decode_and_split(data.get_chain_code())
ar_carr_synthesis, ar_pix_synthesis = ar.get_shapes(chain_encoded, data.get_pixel_start_x(),
data.get_pixel_start_y(), data.get_filename(),
data.get_noaa_number(), data.get_ar_id(), data.get_date())
# setting sunspots
sp_data = DataAccess(start, end, 'SP', sp_obs, sp_instr)
sp_chain_encoded = prep.decode_and_split(sp_data.get_chain_code())
sp_carr, sp_pix = sp.get_shapes(sp_chain_encoded, sp_data.get_pixel_start_x(), sp_data.get_pixel_start_y(),
sp_data.get_filename(), sp_data.get_sp_id(), sp_data.get_date())
sp_synthesis = sp.make_sp_synthesis(ar_contour=ar_carr_synthesis, sp_carr=sp_carr)
prep.display_object(ar_carr_synthesis, sp_synthesis)
return sunspots
if __name__ == '__main__':
# Active region + Sunspot testing
from DataAccess import DataAccess
import ActiveRegion as ar
# setting active regions
data = DataAccess('2003-10-21T00:00:00', '2003-10-24T00:00:00', 'AR',
'SOHO', 'MDI')
chain_encoded = prep.decode_and_split(data.get_chain_code())
ar_carr_synthesis, ar_pix_synthesis = ar.get_shapes(
chain_encoded, data.get_pixel_start_x(), data.get_pixel_start_y(),
data.get_filename(), data.get_noaa_number(), data.get_ar_id(),
data.get_date())
# setting sunspots
sp_data = DataAccess('2003-10-21T00:00:00', '2003-10-24T00:00:00', 'SP',
'SOHO', 'MDI')
sp_chain_encoded = prep.decode_and_split(sp_data.get_chain_code())
sp_carr, sp_pix = get_shapes(sp_chain_encoded, sp_data.get_pixel_start_x(),
sp_data.get_pixel_start_y(),
sp_data.get_filename(), sp_data.get_sp_id(),
sp_data.get_date())
sp_synthesis = make_sp_synthesis(ar_contour=ar_carr_synthesis,
sp_carr=sp_carr)
all_contours_carr.append(synthesis)
all_contours_pix.append(pixel_coord)
return all_contours_carr, all_contours_pix
# Calculates average instensity of active regions
# ar_intensities - array with ar intensities
def calculate_average_ar_intensity(ar_intensities):
sum = 0
# go through array of pixel values and add them
for x in ar_intensities:
sum += x
average = sum / len(ar_intensities) # calculate average
return average
if __name__ == '__main__':
# ActiveRegion + ObjectPreparation test
from DataAccess import DataAccess
ar_data = DataAccess('2003-10-21T00:00:00', '2003-10-24T00:00:00', 'AR', 'SOHO', 'MDI')
ar_chain_encoded = prep.decode_and_split(ar_data.get_chain_code())
ar_carr_synthesis, ar_pix_synthesis = get_shapes(ar_chain_encoded, ar_data.get_pixel_start_x(),
ar_data.get_pixel_start_y(), ar_data.get_filename(),
ar_data.get_noaa_number(), ar_data.get_ar_id(), ar_data.get_date())
prep.display_object(ar_carr_synthesis, [])
