Variables
string	help_message

tuple	date_min = datetime.datetime(2019,7,1)

	date_max = module_common.utc_today

	tmp = date_min

string	axis_name_y = 'Latitude'

string	axis_name_x = 'Carrington Longitude'

int	axis_size = 10

string	axis_color = 'k'

int	dphi = 40

list	xtick_loc = [ i*dphi for i in range(0,int(360./dphi)+1) ]

list	xtick_label = [ str(int(xtick_loc[i])) for i in range(0,len(xtick_loc)) ]

list	ytick_loc = [ -90,-80,-60,-40,-20,0,20,40,60,80,90 ]

list	ytick_label = [ str(int(ytick_loc[i])) for i in range(0,len(ytick_loc)) ]

tuple	folder_test = os.path.join('dir.test','TEST')

tuple	fig_size = (12,6)

int	fig_resolution = 100

	delta = date_max-date_min

	ndays = delta.days

list	dates = [ date_min + i*datetime.timedelta(days=1) for i in range(0,ndays+1) ]

tuple	date_in = module_timespace.Time()

tuple	fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution)

string	map2D_type = 'NSO'
	NSO Read the file. More...

string	mag_table = 'OBS_MAPS_NSO'

tuple	mag_db = database_map2D.time2map(mag_table,date_in)

tuple	magmap_path = os.path.join(mag_db['dirname'],mag_db['filename'])

tuple	magmap_data = interface_read_map2D.read(mag_table,magmap_path)

tuple	sub = plt.subplot(221)

tuple	img = plot_common.map2D(sub,mag_table,magmap_data,mag_db['vmin'],mag_db['vmax'],1)

tuple	eq = plot_common.equator(sub,'black')

tuple	min_value = np.nanmin(magmap_data.data)

tuple	max_value = np.nanmax(magmap_data.data)

tuple	mean_value = np.nanmean(magmap_data.data)

string	command = 'eog %s/test_*.png'

Variable Documentation

string test_read_adapt_gong_date.axis_color = 'k'

string test_read_adapt_gong_date.axis_name_x = 'Carrington Longitude'

string test_read_adapt_gong_date.axis_name_y = 'Latitude'

int test_read_adapt_gong_date.axis_size = 10

string test_read_adapt_gong_date.command = 'eog %s/test_*.png'

tuple test_read_adapt_gong_date.date_in = module_timespace.Time()

list test_read_adapt_gong_date.date_max = module_common.utc_today

tuple test_read_adapt_gong_date.date_min = datetime.datetime(2019,7,1)

list test_read_adapt_gong_date.dates = [ date_min + i*datetime.timedelta(days=1) for i in range(0,ndays+1) ]

test_read_adapt_gong_date.delta = date_max-date_min

int test_read_adapt_gong_date.dphi = 40

tuple test_read_adapt_gong_date.eq = plot_common.equator(sub,'black')

tuple test_read_adapt_gong_date.fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution)

int test_read_adapt_gong_date.fig_resolution = 100

tuple test_read_adapt_gong_date.fig_size = (12,6)

tuple test_read_adapt_gong_date.folder_test = os.path.join('dir.test','TEST')

string test_read_adapt_gong_date.help_message

Initial value:

 = """
 Usage :\n
 ./test_read_adapt_gong_date.py
 [-h]         : brief help
 [d1 d2]      : from date d1 to d2 with format YYYYMMDD
 """

tuple test_read_adapt_gong_date.img = plot_common.map2D(sub,mag_table,magmap_data,mag_db['vmin'],mag_db['vmax'],1)

tuple test_read_adapt_gong_date.mag_db = database_map2D.time2map(mag_table,date_in)

string test_read_adapt_gong_date.mag_table = 'OBS_MAPS_NSO'

tuple test_read_adapt_gong_date.magmap_data = interface_read_map2D.read(mag_table,magmap_path)

tuple test_read_adapt_gong_date.magmap_path = os.path.join(mag_db['dirname'],mag_db['filename'])

string test_read_adapt_gong_date.map2D_type = 'NSO'

NSO Read the file.

ADAPT Read the file.

tuple test_read_adapt_gong_date.max_value = np.nanmax(magmap_data.data)

tuple test_read_adapt_gong_date.mean_value = np.nanmean(magmap_data.data)

tuple test_read_adapt_gong_date.min_value = np.nanmin(magmap_data.data)

test_read_adapt_gong_date.ndays = delta.days

tuple test_read_adapt_gong_date.sub = plt.subplot(221)

test_read_adapt_gong_date.tmp = date_min

list test_read_adapt_gong_date.xtick_label = [ str(int(xtick_loc[i])) for i in range(0,len(xtick_loc)) ]

list test_read_adapt_gong_date.xtick_loc = [ i*dphi for i in range(0,int(360./dphi)+1) ]

list test_read_adapt_gong_date.ytick_label = [ str(int(ytick_loc[i])) for i in range(0,len(ytick_loc)) ]

list test_read_adapt_gong_date.ytick_loc = [ -90,-80,-60,-40,-20,0,20,40,60,80,90 ]

Variables