Variables
string	map2D_type = 'WSO'

string	help_message

list	ncar_min = interface_read_map2D.info[map2D_type]

list	ncar_max = interface_read_map2D.info[map2D_type]

	tmp = ncar_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_ref = os.path.join('dir.test','REF_WSO')

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

tuple	fig_size = (12,6)

int	fig_resolution = 100

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

tuple	magmap_path = interface_read_map2D.ncar2map(map2D_type,ncar)
	WSO DB Read the file. More...

tuple	magmap_data = interface_read_map2D.read(map2D_type,magmap_path)

tuple	min_value = np.nanmin(magmap_data.data)

tuple	max_value = np.nanmax(magmap_data.data)

tuple	mean_value = np.nanmean(magmap_data.data)

tuple	sub = plt.subplot(222)

tuple	img = plot_common.map2D(sub,map2D_type,magmap_data,1)

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

tuple	remote_path = get_wso_wso_gif(ncar)
	WSO REF Download and plot reference image. More...

tuple	imgplot = sub.imshow(img)

Function Documentation

def test_read_wso_wso_cr.get_wso_wso_gif ( ncar )

Find in NSO website the png corresponding to the Carrington rotation.
Return its complete url.

Variable Documentation

string test_read_wso_wso_cr.axis_color = 'k'

string test_read_wso_wso_cr.axis_name_x = 'Carrington Longitude'

string test_read_wso_wso_cr.axis_name_y = 'Latitude'

int test_read_wso_wso_cr.axis_size = 10

int test_read_wso_wso_cr.dphi = 40

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

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

int test_read_wso_wso_cr.fig_resolution = 100

tuple test_read_wso_wso_cr.fig_size = (12,6)

tuple test_read_wso_wso_cr.folder_ref = os.path.join('dir.test','REF_WSO')

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

string test_read_wso_wso_cr.help_message

Initial value:

 = """
 Usage :\n
 ./test_read_wso_wso_cr.py
 [-h]         : brief help
 [n1 n2]      : from Carrington rotation n1 to n2
 """

tuple test_read_wso_wso_cr.img = plot_common.map2D(sub,map2D_type,magmap_data,1)

tuple test_read_wso_wso_cr.imgplot = sub.imshow(img)

tuple test_read_wso_wso_cr.magmap_data = interface_read_map2D.read(map2D_type,magmap_path)

tuple test_read_wso_wso_cr.magmap_path = interface_read_map2D.ncar2map(map2D_type,ncar)

WSO DB Read the file.

string test_read_wso_wso_cr.map2D_type = 'WSO'

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

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

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

list test_read_wso_wso_cr.ncar_max = interface_read_map2D.info[map2D_type]

list test_read_wso_wso_cr.ncar_min = interface_read_map2D.info[map2D_type]

tuple test_read_wso_wso_cr.remote_path = get_wso_wso_gif(ncar)

WSO REF Download and plot reference image.

tuple test_read_wso_wso_cr.sub = plt.subplot(222)

test_read_wso_wso_cr.tmp = ncar_min

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

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

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

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