Variables | |
tuple | log_id = module_io.open_log(__file__) |
string | help_message |
tuple | error_cmodel = module_io.check_cmodel(module_io.cmodel ) |
tuple | error_magtype = module_io.check_magtype(module_io.magtype) |
tuple | folder_test = os.path.join('dir.test','TEST') |
tuple | test_path = os.path.join(folder_test,'corona.svg') |
tuple | date_in = module_timespace.Time() |
int | nphi = 32 |
Ss position seed_points_ss = [] for i in range(0,10): lon0 = random.uniform(0,360) lat0 = random.uniform(-90,90) point0 = module_timespace.Coordinate() point0.lon = lon0 point0.lat = lat0 point0.r = 2.5 #Seed points as gaussian cloud seed_points_ss += module_connectivity.point_distribution('GAUSSIAN',10,point0) More... | |
int | nthe = 32 |
tuple | thes = np.linspace(90-0.02*180,90-0.98*180,nthe) |
tuple | phis = np.linspace(0.02*180,1.98*180,nphi) |
list | seed_points_ss = [] |
tuple | point = module_timespace.Coordinate() |
dictionary | mag_db = {} |
dictionary | error_corona_pfss = {} |
write3d = True | |
tuple | fig_size = (12,6) |
int | fig_resolution = 100 |
tuple | fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution) |
tuple | sub1 = fig.add_subplot(121, projection='polar') |
tuple | plots_fl = plot_common.fieldline2D(sub1,fieldlines,'r','Fieldline r-lat',proj='rlat') |
tuple | sub2 = fig.add_subplot(122, projection='polar') |
tuple test_corona.date_in = module_timespace.Time() |
tuple test_corona.error_cmodel = module_io.check_cmodel(module_io.cmodel ) |
tuple test_corona.error_corona_pfss = {} |
tuple test_corona.error_magtype = module_io.check_magtype(module_io.magtype) |
tuple test_corona.fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution) |
int test_corona.fig_resolution = 100 |
tuple test_corona.fig_size = (12,6) |
tuple test_corona.folder_test = os.path.join('dir.test','TEST') |
string test_corona.help_message |
tuple test_corona.log_id = module_io.open_log(__file__) |
tuple test_corona.mag_db = {} |
int test_corona.nphi = 32 |
Ss position seed_points_ss = [] for i in range(0,10): lon0 = random.uniform(0,360) lat0 = random.uniform(-90,90) point0 = module_timespace.Coordinate() point0.lon = lon0 point0.lat = lat0 point0.r = 2.5 #Seed points as gaussian cloud seed_points_ss += module_connectivity.point_distribution('GAUSSIAN',10,point0)
int test_corona.nthe = 32 |
tuple test_corona.phis = np.linspace(0.02*180,1.98*180,nphi) |
tuple test_corona.plots_fl = plot_common.fieldline2D(sub1,fieldlines,'r','Fieldline r-lat',proj='rlat') |
tuple test_corona.point = module_timespace.Coordinate() |
list test_corona.seed_points_ss = [] |
tuple test_corona.sub1 = fig.add_subplot(121, projection='polar') |
tuple test_corona.sub2 = fig.add_subplot(122, projection='polar') |
tuple test_corona.test_path = os.path.join(folder_test,'corona.svg') |
tuple test_corona.thes = np.linspace(90-0.02*180,90-0.98*180,nthe) |
test_corona.write3d = True |