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test_chole Namespace Reference

Variables

tuple test_mode = module_prompt.prompt_inlist(['Random','Today','User defined date'])
 
tuple delay = datetime.datetime.today()
 
tuple random_delay = random.uniform(0,delay.total_seconds())
 
tuple date_in = datetime.datetime(2019,6,28)
 
tuple time_in = module_timespace.Time()
 
string table_chole = 'OBS_CORONA_SOLARMONITOR_CHIMERA'
 
string table_map2D = 'OBS_MAPS_EUV2CARMAP_SDOSTA_193'
 
tuple db_chole = database_chole.datetime2file(table_chole,time_in.datetime,h_accuracy=3)
 
tuple db_map2D = database_map2D.time2map(table_map2D,time_in)
 
tuple path_chole = os.path.join(db_chole['dirname'],db_chole['filename'])
 
tuple contours_hgc = interface_read_chole.read(table_chole,path_chole)
 
tuple path_map2D = os.path.join(db_map2D['dirname'],db_map2D['filename'])
 
tuple map2D_data = interface_read_map2D.read(table_map2D,path_map2D)
 
tuple fig_size = (12,6)
 
int fig_resolution = 100
 
string axis_name_y = 'Latitude'
 
string axis_name_x = 'Carrington Longitude'
 
int axis_size = 10
 
string axis_color = 'k'
 
int dphi = 20
 
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 chole_plot = plot_common.chole(sub,contours_hgc)
 
tuple map2D_plot = plot_common.map2D(sub,table_map2D,map2D_data,db_map2D['vmin'],db_map2D['vmax'],0)
 

Variable Documentation

string test_chole.axis_color = 'k'
string test_chole.axis_name_x = 'Carrington Longitude'
string test_chole.axis_name_y = 'Latitude'
int test_chole.axis_size = 10
tuple test_chole.chole_plot = plot_common.chole(sub,contours_hgc)
list test_chole.contours_hgc = interface_read_chole.read(table_chole,path_chole)
tuple test_chole.date_in = datetime.datetime(2019,6,28)
tuple test_chole.db_chole = database_chole.datetime2file(table_chole,time_in.datetime,h_accuracy=3)
tuple test_chole.db_map2D = database_map2D.time2map(table_map2D,time_in)
tuple test_chole.delay = datetime.datetime.today()
int test_chole.dphi = 20
int test_chole.fig_resolution = 100
tuple test_chole.fig_size = (12,6)
tuple test_chole.map2D_data = interface_read_map2D.read(table_map2D,path_map2D)
tuple test_chole.map2D_plot = plot_common.map2D(sub,table_map2D,map2D_data,db_map2D['vmin'],db_map2D['vmax'],0)
tuple test_chole.path_chole = os.path.join(db_chole['dirname'],db_chole['filename'])
tuple test_chole.path_map2D = os.path.join(db_map2D['dirname'],db_map2D['filename'])
tuple test_chole.random_delay = random.uniform(0,delay.total_seconds())
string test_chole.table_chole = 'OBS_CORONA_SOLARMONITOR_CHIMERA'
string test_chole.table_map2D = 'OBS_MAPS_EUV2CARMAP_SDOSTA_193'
tuple test_chole.test_mode = module_prompt.prompt_inlist(['Random','Today','User defined date'])
tuple test_chole.time_in = module_timespace.Time()
list test_chole.xtick_label = [ str(int(xtick_loc[i])) for i in range(0,len(xtick_loc)) ]
list test_chole.xtick_loc = [ i*dphi for i in range(0,int(360./dphi)+1) ]
list test_chole.ytick_label = [ str(int(ytick_loc[i])) for i in range(0,len(ytick_loc)) ]
list test_chole.ytick_loc = [ -90,-80,-60,-40,-20,0,20,40,60,80,90 ]