Variables | |
string | help_message |
Test Cube3D reading routine. More... | |
tuple | datetime_in = datetime.datetime(2019,7,1) |
string | magtype = 'DUMFRIC' |
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 = (18,9) |
int | fig_resolution = 100 |
tuple | date_in = module_timespace.Time() |
dictionary | mag_db = {} |
mag_found = True | |
tuple | fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution) |
tuple | mag_path = os.path.join(mag_db['dirname'],mag_db['filename']) |
tuple | mag_data = interface_read_cube3D.read(mag_table,mag_path) |
tuple | bnorm = np.empty((mag_data.nlat,mag_data.nlon)) |
tuple | min_value = np.nanmin(bnorm[:,:]) |
tuple | max_value = np.nanmax(bnorm[:,:]) |
tuple | mean_value = np.nanmean(bnorm[:,:]) |
tuple | sub = plt.subplot(221) |
tuple | img = plot_common.slice2D(sub,mag_data,'br',0,k,mag_db['vmin'],mag_db['vmax'],1) |
tuple | eq = plot_common.equator(sub,'black') |
tuple | grid_axis1 = module_toolbox_num.cell2grid(mag_data.lon) |
tuple | grid_axis2 = module_toolbox_num.cell2grid(mag_data.lat) |
string | command = 'eog %s/test_*.png' |
string test_cube3D_read.axis_color = 'k' |
string test_cube3D_read.axis_name_x = 'Carrington Longitude' |
string test_cube3D_read.axis_name_y = 'Latitude' |
int test_cube3D_read.axis_size = 10 |
tuple test_cube3D_read.bnorm = np.empty((mag_data.nlat,mag_data.nlon)) |
string test_cube3D_read.command = 'eog %s/test_*.png' |
tuple test_cube3D_read.date_in = module_timespace.Time() |
tuple test_cube3D_read.datetime_in = datetime.datetime(2019,7,1) |
int test_cube3D_read.dphi = 40 |
tuple test_cube3D_read.eq = plot_common.equator(sub,'black') |
tuple test_cube3D_read.fig = plt.figure(num=1,figsize=fig_size,dpi=fig_resolution) |
int test_cube3D_read.fig_resolution = 100 |
tuple test_cube3D_read.fig_size = (18,9) |
tuple test_cube3D_read.folder_test = os.path.join('dir.test','TEST') |
tuple test_cube3D_read.grid_axis1 = module_toolbox_num.cell2grid(mag_data.lon) |
tuple test_cube3D_read.grid_axis2 = module_toolbox_num.cell2grid(mag_data.lat) |
string test_cube3D_read.help_message |
Test Cube3D reading routine.
For a given date and a given magtype, read the corresponding datacube and plot it.
tuple test_cube3D_read.img = plot_common.slice2D(sub,mag_data,'br',0,k,mag_db['vmin'],mag_db['vmax'],1) |
tuple test_cube3D_read.mag_data = interface_read_cube3D.read(mag_table,mag_path) |
dictionary test_cube3D_read.mag_db = {} |
test_cube3D_read.mag_found = True |
list test_cube3D_read.magtype = 'DUMFRIC' |
tuple test_cube3D_read.max_value = np.nanmax(bnorm[:,:]) |
tuple test_cube3D_read.mean_value = np.nanmean(bnorm[:,:]) |
tuple test_cube3D_read.min_value = np.nanmin(bnorm[:,:]) |
tuple test_cube3D_read.sub = plt.subplot(221) |
list test_cube3D_read.ytick_loc = [ -90,-80,-60,-40,-20,0,20,40,60,80,90 ] |