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stonyhurst.py
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stonyhurst.py
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# -*- coding: utf-8 -*-
"""
Created on Sat Dec 23 18:33:24 2023
@author: valer
"""
import numpy as np
import matplotlib.pyplot as plt
import cv2
import math
def draw_stonyhurst (nomrep1, nomrep2,nomfich, fich_param, graph_param):
plt.close()
nomfich_full=nomrep1+nomfich
img = cv2.imread(nomfich_full)
plt.axis('off')
plt.imshow(img, cmap='gray')
myday=fich_param['date']
Pdisp=fich_param['PDisp']
P=float(fich_param['P']) # si P=0 alors INTI a calculer l'angle P avec routine locale dans PDisp
if P!=0 :
P=0 # si P different de zéro INTI a tourner l'image donc le P devient nul
else:
P=float(fich_param['PDisp'])
P_rad=math.radians(P)
B0=fich_param['B0']
B0_rad=math.radians(B0)
xc=fich_param['xcc']
yc=fich_param['ycc']
r=fich_param['radius']
graduation_on=graph_param['gradu']
opacity=graph_param['opacity']
largeur_ligne=graph_param['lwidth']
couleur_positive=graph_param['color']
#couleur_negative=graph_param['color_inv']
t=myday+"\n"
t=t+"P : "+str(Pdisp)+"\nB0 : "+str(B0)
plt.text(10,10,t,c="yellow", fontsize=3,verticalalignment='top')
#draw circle
angle = np.linspace( 0 , 2 * np.pi , 150 )
radius = r
x_cercle = xc+radius * np.cos( angle )
y_cercle = yc+radius * np.sin( angle )
plt.plot(x_cercle, y_cercle, color=couleur_positive, linewidth=largeur_ligne)
B=np.linspace(-90, 90,39)
B_rad=[ math.radians(a) for a in B]
L=np.linspace(-180,180,37)
L_rad=[ math.radians(a) for a in L]
# L=0
itemindex=0
for ll in L_rad :
X=np.array([r*math.cos(a)*math.sin(ll) for a in B_rad])
Y=[r*math.cos(a)*math.cos(ll) for a in B_rad]
Z=[r*math.sin(a) for a in B_rad]
zz=[a*math.cos(B0_rad) for a in Z]
yy=[a*math.sin(B0_rad) for a in Y]
zz=np.array(zz)
yy=np.array(yy)
xp1= xc+(zz-yy)*math.sin(P_rad)
xp2=np.array(X)*math.cos(P_rad)
xp=np.array(xp1)+np.array(xp2)
yp1= yc- (zz-yy)*math.cos(P_rad)
yp2= np.array(X)*math.sin(P_rad)
yp=np.array(yp1)+np.array(yp2)
t=((xp-xc)**2+(yp-yc)**2)
tt=abs(t-r**2)
itemindex=np.argmin(tt)
if B0 >=0 :
xpp=xp[itemindex:]
ypp=yp[itemindex:]
else:
xpp=xp[:itemindex]
ypp=yp[:itemindex]
if itemindex ==0 or itemindex==38:
xpp=xp
ypp=yp
if (itemindex == (len(xp)-1) or itemindex==0 ) and abs(math.degrees(ll))>90:
xpp=xp[0]
ypp=yp[0]
itemindex=1000
#print(round(math.degrees(ll)), itemindex)
#plt.plot(xpp,ypp,linestyle="-", color="red", linewidth=0.1, alpha=0.2)
plt.plot(xpp,ypp,linestyle="-", color=couleur_positive, linewidth=largeur_ligne, alpha=opacity)
# Trace les tropiques
B=np.linspace(-90, 90,19)
B_rad=[ math.radians(a) for a in B]
L=np.linspace(-180,180,49)
L_rad=[ math.radians(a) for a in L]
for bb in B_rad :
Z=np.array([r*math.sin(bb) for a in L_rad])
X=np.array([r*math.sin(a)*math.cos(bb) for a in L_rad])
Y=np.array([r*math.cos(a)*math.cos(bb) for a in L_rad])
zz=np.array([a*math.cos(B0_rad) for a in Z])
yy=np.array([a*math.sin(B0_rad) for a in Y])
xp1=xc+(zz-yy)*math.sin(P_rad)
xp2=np.array(X)*math.cos(P_rad)
xp= np.array(xp1)+np.array(xp2)
yp1=yc- (zz-yy)*math.cos(P_rad)
yp2=np.array(X)*math.sin(P_rad)
yp= np.array(yp1)+np.array(yp2)
t=((xp-xc)**2+(yp-yc)**2)
tt=abs(t-r**2)
itemindex=np.argmin(tt)
if itemindex > (len(xp)-1)/2 :
itemindex=len(xp)-1-itemindex
#print(xpp)
if itemindex != 0 :
xpp=xp[itemindex:-itemindex]
ypp=yp[itemindex:-itemindex]
else:
xpp=xp
ypp=yp
#print(math.degrees(bb),itemindex)
#plt.plot(xp,yp,linestyle="-", color="red", linewidth=0.2)
plt.plot(xpp,ypp,linestyle="-", color=couleur_positive, linewidth=largeur_ligne, alpha=opacity)
if graduation_on :
if len(xpp)!=1 and abs(math.degrees(bb))!=90:
lx1=[xpp[0], xpp[0]-20*math.cos(bb)]
ly1=[ypp[0],ypp[0]-20*math.sin(bb)]
plt.plot(lx1,ly1, color='white', linestyle='-', linewidth=0.2)
plt.text(lx1[0]-50*math.cos(bb), ly1[0]-50*math.sin(bb),
str(round(math.degrees(bb))), fontsize=3, color='yellow',
horizontalalignment='center', verticalalignment='center')
lx2=[xpp[-1], xpp[-1]+20*math.cos(bb)]
ly2=[ypp[-1],ypp[-1]-20*math.sin(bb)]
plt.plot(lx2,ly2, color='white', linestyle='-', linewidth=0.2)
plt.text(lx2[0]+50*math.cos(bb), ly2[0]-50*math.sin(bb),
str(round(math.degrees(bb))), fontsize=3, color='yellow',
horizontalalignment='center', verticalalignment='center')
nomfich_grid=nomrep2+nomfich.replace('disk','grid')
plt.savefig(nomfich_grid, bbox_inches='tight',dpi=600)
"""
sg.set_options(dpi_awareness=True, scaling=2)
layout = [[sg.Canvas(size=size, key='-CANVAS-')]]
window = sg.Window('Embedding Matplotlib', layout, finalize=True, element_justification='center', location=(100,100))
fig_canvas_agg = draw_figure(window['-CANVAS-'].TKCanvas, fig)
event, values = window.read()
window.close()
"""
if graph_param['disp'] :
plt.show()
"""
---------------------------------------------------------------------------------------------
Program main pour stand alone
---------------------------------------------------------------------------------------------
"""
if __name__ == '__main__':
nomrep1='xxx' # your png _disk directory
nomrep2=nomrep1
nom_fich="_xxx_disk.png" #your filename in the nomrep1 directory
fich_param={}
graph_param={}
fich_param['date'] = "2022-06-19T11:33:34" # the date of your observation in the fits format
fich_param['P'] = 0 # P angle value
fich_param['B0'] = 2.85 # B0 angle value
fich_param['xcc'] = 1344 # center x of the sun disk
fich_param['ycc'] = 1147 # center y of the sun disk
fich_param['radius'] = 1117 # radius of the sun disk
fich_param['PDisp']= 2.85 # P value displayed
graph_param['gradu'] = True # Latitude angles graduations displayed
graph_param['opacity'] = 0.5 # opacity to the grid
graph_param['lwidth'] = 0.2 # line width of the grid
graph_param['color'] = 'yellow' # color of the grid
graph_param['color_inv'] = 'black' # not used
graph_param['disp']=False # enable matplotlib display otherwise only png saved
draw_stonyhurst(nomrep1, nomrep2,nom_fich, fich_param, graph_param)