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Copy pathASC_skymap_W_colindale.py
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ASC_skymap_W_colindale.py
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#mprof run ASC_mpl.py
#mprof plot
###################### TODO list ######################
# REPLACE MATH WITH NUMPY
# milkyway (across screen)
# check boundary (across screen)
# check jupiter plot scale
# check ephemeris for >2 events a day
# check moon projection
# fix ephemeris mag
# update sunspot only once a day
# predownload weather icon from HKO
# fit parameters
# cloud detection
# record 24hr stat per day
###################### TODO list ######################
import time
#import timeit
#from numba import jit
from urllib.request import urlretrieve, urlopen
from urllib.error import HTTPError, ContentTooShortError
import socket
import requests
from bs4 import BeautifulSoup
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as mpath
import matplotlib.patheffects as pe
from matplotlib import font_manager
from matplotlib import collections as mc
import matplotlib.animation
import pandas
import numpy
import math
import cv2
from skyfield import almanac, almanac_east_asia
from skyfield.api import load, wgs84, PlanetaryConstants
from skyfield.framelib import ecliptic_frame
from skyfield.almanac import find_discrete, risings_and_settings
from skyfield.magnitudelib import planetary_magnitude
from pytz import timezone, common_timezones
from datetime import date, datetime, timedelta
import cartopy.crs as ccrs
import pathlib
from PIL import Image
import itertools
from operator import itemgetter
import sys
from sys import platform
import os
import gc
import feedparser
import re
import objgraph
import rclone
import paramiko
##################
#memory leak
debug_mode = 0
##################
######################
# initial parameters #
######################
count=0
T0 = time.time()
#matplotlib.rcParams['savefig.facecolor'] = ('#F0F0F0')
#####################################
# ephem setting
tz = timezone('Europe/London')
ephem = load('de421.bsp') #1900-2050 only
#ephem = load('de422.bsp') #-3000-3000 only
#ephem = load('de430t.bsp') #1550-2650 only
ephemJ = load('jup310.bsp') #Jupiter
sun = ephem['sun']
mercury = ephem['mercury']
venus = ephem['venus']
earthmoon = ephem['earth_barycenter']
earth = ephem['earth']
moon = ephem['moon']
mars = ephem['mars']
jupiter = ephem['jupiter_barycenter']
jupiterJ = ephemJ['jupiter_barycenter']
io = ephemJ['Io']
europa = ephemJ['Europa']
ganymede = ephemJ['Ganymede']
callisto = ephemJ['Callisto']
saturn = ephem['saturn_barycenter']
uranus = ephem['uranus_barycenter']
neptune = ephem['neptune_barycenter']
pluto = ephem['pluto_barycenter']
#####################################
# moon geometry
pc = PlanetaryConstants()
pc.read_text(load('moon_080317.tf'))
pc.read_text(load('pck00008.tpc'))
pc.read_binary(load('moon_pa_de421_1900-2050.bpc'))
frame = pc.build_frame_named('MOON_ME_DE421')
#####################################
#####################################
# location information
#HKO
Trig_0 = (earth + wgs84.latlon((22+18/60+7.3/3600),(114+10/60+27.6/3600)),\
22+18/60+7.3/3600,114+10/60+27.6/3600,'22:18:07.3','N','114:10:27.6','E')
#Hokoon
hokoon = (earth + wgs84.latlon((22+23/60+1/3600),(114+6/60+29/3600)),\
22+23/60+1/3600,114+6/60+29/3600,'22:23:01','N','114:06:29','E')
#Colindale
colindale = (earth + wgs84.latlon((51+35/60+44/3600),-(0+15/60+0/3600)),\
51.59559,-0.25007,'51:35:44','N','00:15:00','W')
Obs = colindale #<= set your observatory
ts = load.timescale()
date_UTC = ts.utc(ts.now().utc_datetime().replace(second=0,microsecond=0))
date_local = date_UTC.astimezone(tz)
#####################################
# plot parameters
image_size = 1.6
#side_space = 6
fig = plt.figure(figsize=(image_size*7.2,image_size*12), facecolor='black')
fig.subplots_adjust(0,0,1,1,0,0)
gs = matplotlib.gridspec.GridSpec(4, 2, wspace=0, hspace=0, width_ratios=[1,1], height_ratios=[720,180,180,120])
ax0 = plt.subplot(gs[0, :])
ax0.set_facecolor('black')
ax0.set_aspect('equal', anchor='N')
ax0.axis('off')
ax1 = plt.subplot(gs[1:3, 0])
ax1.set_facecolor('black')
ax1.set_aspect('equal', anchor='NE')
ax1.axis('off')
ax2 = plt.subplot(gs[1, 1])
ax2.set_facecolor('black')
ax2.set_aspect('equal', anchor='NW')
ax2.axis('off')
ax3 = plt.subplot(gs[2, 1])
ax3.set_facecolor('black')
ax3.set_aspect('equal', anchor='SW')
ax3.axis('off')
# ax4 = plt.subplot(gs[3, 0])
# ax4.set_facecolor('black')
# ax4.set_aspect('equal', anchor='NE')
ax5 = plt.subplot(gs[3, :])
ax5.set_facecolor('black')
ax5.set_aspect('equal', anchor='N')
ax5.axis('off')
# ax6 = plt.subplot(gs[5, 1])
# ax6.set_facecolor('black')
# #ax6.set_aspect('equal', anchor='NW')
matplotlib.rcParams['savefig.facecolor'] = (0,0,0)
matplotlib.rcParams['axes.edgecolor'] = (1,1,0,0.75)
plot_scale = 150
if platform == 'win32':
DjV_S_6 = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/DEJAVUSANS.TTF', size=6)
DjV_S_8 = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/DEJAVUSANS.TTF', size=8)
DjV_S_9 = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/DEJAVUSANS.TTF', size=9)
DjV_S_10 = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/DEJAVUSANS.TTF', size=10)
DjV_S_12 = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/DEJAVUSANS.TTF', size=12)
chara_chi = font_manager.FontProperties(fname = 'C:/WINDOWS/Fonts/YUGOTHR.TTC')
elif platform == 'darwin':
DjV_S_6 = font_manager.FontProperties(fname = '/Library/Fonts/DEJAVUSANS.TTF', size=6)
DjV_S_8 = font_manager.FontProperties(fname = '/Library/Fonts/DEJAVUSANS.TTF', size=8)
DjV_S_9 = font_manager.FontProperties(fname = '/Library/Fonts/DEJAVUSANS.TTF', size=9)
DjV_S_10 = font_manager.FontProperties(fname = '/Library/Fonts/DEJAVUSANS.TTF', size=10)
DjV_S_12 = font_manager.FontProperties(fname = '/Library/Fonts/DEJAVUSANS.TTF', size=12)
chara_chi = font_manager.FontProperties(fname = '/Library/Fonts/SIMHEI.TTF')
elif platform == 'linux':
DjV_S_6 = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/DejaVu Sans/DejaVu_Sans_Book.ttf', size=6)
DjV_S_8 = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/DejaVu Sans/DejaVu_Sans_Book.ttf', size=8)
DjV_S_9 = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/DejaVu Sans/DejaVu_Sans_Book.ttf', size=9)
DjV_S_10 = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/DejaVu Sans/DejaVu_Sans_Book.ttf', size=10)
DjV_S_12 = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/DejaVu Sans/DejaVu_Sans_Book.ttf', size=12)
chara_chi = font_manager.FontProperties(fname = '/home/pi/.local/share/fonts/Unknown Vendor/TrueType/SimHei/SimHei_Normal.TTF')
# raw data
horizon = pandas.DataFrame(0,index=range(360),columns=['RA','Dec','x','y']).apply(pandas.to_numeric)
twlight = pandas.DataFrame(0,index=range(360),columns=['RA','Dec','x','y']).apply(pandas.to_numeric)
equator = pandas.DataFrame(0,index=range(360),columns=['RA','Dec','x','y']).apply(pandas.to_numeric)
ecliptic = pandas.DataFrame(0,index=range(360),columns=['RA','Dec','x','y']).apply(pandas.to_numeric)
# log
def timelog(log):
print(str(datetime.now().time().replace(microsecond=0))+'> '+log)
# make relative path (pathlib.Path.cwd() <=> current Dir)
timelog('importing star catalogue')
And = numpy.zeros(shape=(178,5))
And = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','And.csv'))
Ant = numpy.zeros(shape=(48,5))
Ant = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ant.csv'))
Aps = numpy.zeros(shape=(36,5))
Aps = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Aps.csv'))
Aqr = numpy.zeros(shape=(171,5))
Aqr = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Aqr.csv'))
Aql = numpy.zeros(shape=(131,5))
Aql = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Aql.csv'))
Ara = numpy.zeros(shape=(64,5))
Ara = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ara.csv'))
Ari = numpy.zeros(shape=(86,5))
Ari = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ari.csv'))
Aur = numpy.zeros(shape=(161,5))
Aur = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Aur.csv'))
Boo = numpy.zeros(shape=(154,5))
Boo = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Boo.csv'))
Cae = numpy.zeros(shape=(21,5))
Cae = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cae.csv'))
Cam = numpy.zeros(shape=(158,5))
Cam = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cam.csv'))
Cnc = numpy.zeros(shape=(112,5))
Cnc = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cnc.csv'))
CVn = numpy.zeros(shape=(61,5))
CVn = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','CVn.csv'))
CMa = numpy.zeros(shape=(155,5))
CMa = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','CMa.csv'))
CMi = numpy.zeros(shape=(44,5))
CMi = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','CMi.csv'))
Cap = numpy.zeros(shape=(87,5))
Cap = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cap.csv'))
Car = numpy.zeros(shape=(210,5))
Car = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Car.csv'))
Cas = numpy.zeros(shape=(164,5))
Cas = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cas.csv'))
Cen = numpy.zeros(shape=(281,5))
Cen = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cen.csv'))
Cep = numpy.zeros(shape=(157,5))
Cep = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cep.csv'))
Cet = numpy.zeros(shape=(177,5))
Cet = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cet.csv'))
Cha = numpy.zeros(shape=(34,5))
Cha = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cha.csv'))
Cir = numpy.zeros(shape=(34,5))
Cir = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cir.csv'))
Col = numpy.zeros(shape=(78,5))
Col = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Col.csv'))
Com = numpy.zeros(shape=(71,5))
Com = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Com.csv'))
CrA = numpy.zeros(shape=(46,5))
CrA = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','CrA.csv'))
CrB = numpy.zeros(shape=(40,5))
CrB = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','CrB.csv'))
Crv = numpy.zeros(shape=(28,5))
Crv = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Crv.csv'))
Crt = numpy.zeros(shape=(33,5))
Crt = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Crt.csv'))
Cru = numpy.zeros(shape=(48,5))
Cru = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cru.csv'))
Cyg = numpy.zeros(shape=(291,5))
Cyg = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Cyg.csv'))
Del = numpy.zeros(shape=(47,5))
Del = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Del.csv'))
Dor = numpy.zeros(shape=(34,5))
Dor = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Dor.csv'))
Dra = numpy.zeros(shape=(226,5))
Dra = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Dra.csv'))
Equ = numpy.zeros(shape=(15,5))
Equ = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Equ.csv'))
Eri = numpy.zeros(shape=(197,5))
Eri = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Eri.csv'))
For = numpy.zeros(shape=(64,5))
For = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','For.csv'))
Gem = numpy.zeros(shape=(123,5))
Gem = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Gem.csv'))
Gru = numpy.zeros(shape=(62,5))
Gru = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Gru.csv'))
Her = numpy.zeros(shape=(263,5))
Her = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Her.csv'))
Hor = numpy.zeros(shape=(36,5))
Hor = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Hor.csv'))
Hya = numpy.zeros(shape=(246,5))
Hya = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Hya.csv'))
Hyi = numpy.zeros(shape=(33,5))
Hyi = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Hyi.csv'))
Ind = numpy.zeros(shape=(39,5))
Ind = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ind.csv'))
Lac = numpy.zeros(shape=(67,5))
Lac = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lac.csv'))
Leo = numpy.zeros(shape=(130,5))
Leo = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Leo.csv'))
LMi = numpy.zeros(shape=(36,5))
LMi = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','LMi.csv'))
Lep = numpy.zeros(shape=(76,5))
Lep = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lep.csv'))
Lib = numpy.zeros(shape=(86,5))
Lib = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lib.csv'))
Lup = numpy.zeros(shape=(117,5))
Lup = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lup.csv'))
Lyn = numpy.zeros(shape=(100,5))
Lyn = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lyn.csv'))
Lyr = numpy.zeros(shape=(83,5))
Lyr = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Lyr.csv'))
Men = numpy.zeros(shape=(26,5))
Men = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Men.csv'))
Mic = numpy.zeros(shape=(39,5))
Mic = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Mic.csv'))
Mon = numpy.zeros(shape=(153,5))
Mon = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Mon.csv'))
Mus = numpy.zeros(shape=(59,5))
Mus = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Mus.csv'))
Nor = numpy.zeros(shape=(41,5))
Nor = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Nor.csv'))
Oct = numpy.zeros(shape=(67,5))
Oct = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Oct.csv'))
Oph = numpy.zeros(shape=(179,5))
Oph = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Oph.csv'))
Ori = numpy.zeros(shape=(225,5))
Ori = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ori.csv'))
Pav = numpy.zeros(shape=(82,5))
Pav = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Pav.csv'))
Peg = numpy.zeros(shape=(176,5))
Peg = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Peg.csv'))
Per = numpy.zeros(shape=(160,5))
Per = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Per.csv'))
Phe = numpy.zeros(shape=(70,5))
Phe = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Phe.csv'))
Pic = numpy.zeros(shape=(50,5))
Pic = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Pic.csv'))
Psc = numpy.zeros(shape=(141,5))
Psc = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Psc.csv'))
PsA = numpy.zeros(shape=(49,5))
PsA = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','PsA.csv'))
Pup = numpy.zeros(shape=(275,5))
Pup = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Pup.csv'))
Pyx = numpy.zeros(shape=(48,5))
Pyx = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Pyx.csv'))
Ret = numpy.zeros(shape=(24,5))
Ret = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ret.csv'))
Sge = numpy.zeros(shape=(31,5))
Sge = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Sge.csv'))
Sgr = numpy.zeros(shape=(219,5))
Sgr = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Sgr.csv'))
Sco = numpy.zeros(shape=(174,5))
Sco = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Sco.csv'))
Scl = numpy.zeros(shape=(59,5))
Scl = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Scl.csv'))
Sct = numpy.zeros(shape=(30,5))
Sct = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Sct.csv'))
Ser = numpy.zeros(shape=(112,5))
Ser = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Ser.csv'))
Sex = numpy.zeros(shape=(40,5))
Sex = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Sex.csv'))
Tau = numpy.zeros(shape=(223,5))
Tau = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Tau.csv'))
Tel = numpy.zeros(shape=(51,5))
Tel = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Tel.csv'))
Tri = numpy.zeros(shape=(26,5))
Tri = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Tri.csv'))
TrA = numpy.zeros(shape=(35,5))
TrA = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','TrA.csv'))
Tuc = numpy.zeros(shape=(50,5))
Tuc = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Tuc.csv'))
UMa = numpy.zeros(shape=(224,5))
UMa = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','UMa.csv'))
UMi = numpy.zeros(shape=(42,5))
UMi = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','UMi.csv'))
Vel = numpy.zeros(shape=(193,5))
Vel = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Vel.csv'))
Vir = numpy.zeros(shape=(174,5))
Vir = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Vir.csv'))
Vol = numpy.zeros(shape=(33,5))
Vol = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Vol.csv'))
Vul = numpy.zeros(shape=(77,5))
Vul = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','Vul.csv'))
# LROC WAC basemap Shapefile
Mare = numpy.zeros(shape=(267482,5))
Mare = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','moon_mare.csv'))
Crater = numpy.zeros(shape=(182111,5))
Crater = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','moon_crater.csv'))
# milkyway
MW_southernedge = numpy.zeros(shape=(263,4))
MW_southernedge = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_southernedge.csv'))
MW_MonPer = numpy.zeros(shape=(71,4))
MW_MonPer = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_MonPer.csv'))
MW_CamCas = numpy.zeros(shape=(13,4))
MW_CamCas = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_CamCas.csv'))
MW_Cep = numpy.zeros(shape=(13,4))
MW_Cep = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_Cep.csv'))
MW_CygOph = numpy.zeros(shape=(40,4))
MW_CygOph = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_CygOph.csv'))
MW_OphSco = numpy.zeros(shape=(17,4))
MW_OphSco = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_OphSco.csv'))
MW_LupVel = numpy.zeros(shape=(78,4))
MW_LupVel = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_LupVel.csv'))
MW_VelMon = numpy.zeros(shape=(34,4))
MW_VelMon = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_VelMon.csv'))
dark_PerCas = numpy.zeros(shape=(35,4))
dark_PerCas = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_PerCas.csv'))
dark_CasCep = numpy.zeros(shape=(28,4))
dark_CasCep = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_CasCep.csv'))
dark_betaCas = numpy.zeros(shape=(20,4))
dark_betaCas = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_betaCas.csv'))
dark_CygCep = numpy.zeros(shape=(22,4))
dark_CygCep = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_CygCep.csv'))
dark_CygOph = numpy.zeros(shape=(197,4))
dark_CygOph = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_CygOph.csv'))
dark_thetaOph = numpy.zeros(shape=(28,4))
dark_thetaOph = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_thetaOph.csv'))
dark_lambdaSco = numpy.zeros(shape=(17,4))
dark_lambdaSco = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_lambdaSco.csv'))
dark_ScoNor = numpy.zeros(shape=(31,4))
dark_ScoNor = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_ScoNor.csv'))
dark_Coalsack = numpy.zeros(shape=(32,4))
dark_Coalsack = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_Coalsack.csv'))
dark_Vel = numpy.zeros(shape=(22,4))
dark_Vel = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','dark_Vel.csv'))
MW_LMC1 = numpy.zeros(shape=(34,4))
MW_LMC1 = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_LMC1.csv'))
MW_LMC2 = numpy.zeros(shape=(12,4))
MW_LMC2 = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_LMC2.csv'))
MW_SMC = numpy.zeros(shape=(14,4))
MW_SMC = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','MW_SMC.csv'))
# constellation boundaries
boundary = numpy.zeros(shape=(13238,5))
boundary = pandas.read_csv(pathlib.Path.cwd().joinpath('ASC','boundary.csv'))
if debug_mode == 1:
timelog('ref count And: '+str(sys.getrefcount(And)))
timelog('ref count Mare: '+str(sys.getrefcount(Mare)))
timelog('ref count MW_southernedge: '+str(sys.getrefcount(MW_southernedge)))
timelog('ref count boundary: '+str(sys.getrefcount(boundary)))
####################
# define functions #
####################
def plot_solar():
global plot_alpha, hori_border, hori_xmax, hori_xmin, hori_ymax, hori_ymin, horizon_line, equator_line, ecliptic_line,\
twlight_line, twli_xmax, twli_xmin, twli_ymax, twli_ymin,\
Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune,\
solar_obj,solar_color,moon_chi,\
Sun_x,Moon_x,Mercury_x,Venus_x,Mars_x,Jupiter_x,Saturn_x,Uranus_x,Neptune_x,\
Sun_y,Moon_y,Mercury_y,Venus_y,Mars_y,Jupiter_y,Saturn_y,Uranus_y,Neptune_y,\
sun_vector,mercury_vector,venus_vector,moon_vector,mars_vector,jupiter_vector,\
saturn_vector,uranus_vector,neptune_vector,pluto_vector
sun_vector = Obs[0].at(date_UTC).observe(sun).apparent()
mercury_vector = Obs[0].at(date_UTC).observe(mercury).apparent()
venus_vector = Obs[0].at(date_UTC).observe(venus).apparent()
moon_vector = Obs[0].at(date_UTC).observe(moon).apparent()
mars_vector = Obs[0].at(date_UTC).observe(mars).apparent()
jupiter_vector = Obs[0].at(date_UTC).observe(jupiter).apparent()
saturn_vector = Obs[0].at(date_UTC).observe(saturn).apparent()
uranus_vector = Obs[0].at(date_UTC).observe(uranus).apparent()
neptune_vector = Obs[0].at(date_UTC).observe(neptune).apparent()
pluto_vector = Obs[0].at(date_UTC).observe(pluto).apparent()
# position angle of the Moon's bright limb from North point of the disc of the Moon to East
moon_chi = math.degrees(math.atan2(math.cos(sun_vector.radec()[1].radians)*math.sin(sun_vector.radec()[0].radians-moon_vector.radec()[0].radians),\
math.sin(sun_vector.radec()[1].radians)*math.cos(moon_vector.radec()[1].radians)-\
math.cos(sun_vector.radec()[1].radians)*math.sin(moon_vector.radec()[1].radians)*math.cos(sun_vector.radec()[0].radians-moon_vector.radec()[0].radians)))
if moon_chi < 0:
moon_chi = moon_chi+360
timelog('drawing grids')
# alpha
plot_alpha = 0.3
# horizon
horizon_pt = []
for i in range(361):
hori_ra = Obs[0].at(date_UTC).from_altaz(alt_degrees=0, az_degrees=i).radec()[0].hours*15
hori_dec= Obs[0].at(date_UTC).from_altaz(alt_degrees=0, az_degrees=i).radec()[1].degrees
horizon_pt.append((transform_x(hori_ra,hori_dec),transform_y(hori_ra,hori_dec)))
horizon_line = plt.Polygon(horizon_pt, closed=True, fill=None, edgecolor=(0,0,1,1), zorder=1+2.5)
ax0.add_patch(horizon_line)
# horizon size
hori_xmax = max(horizon_pt,key=itemgetter(0))[0]
hori_xmin = min(horizon_pt,key=itemgetter(0))[0]
hori_ymax = max(horizon_pt,key=itemgetter(1))[1]
hori_ymin = min(horizon_pt,key=itemgetter(1))[1]
hori_border = hori_xmax-hori_xmin
ax0.annotate('z',((hori_xmax+hori_xmin)/2+2.5,(hori_ymax+hori_ymin)/2+1),color='g')
z_m = matplotlib.markers.MarkerStyle(marker='+')
z_m._transform = z_m.get_transform()
ax0.scatter((hori_xmax+hori_xmin)/2,(hori_ymax+hori_ymin)/2,c='g',marker=z_m,zorder=0+2.6)
g_step=250
patches = []
for i in range(g_step):
circle = plt.Circle((0, 0), (hori_xmax-hori_xmin)/2*(1-0.5/g_step*i), color=(0,0.05*(1-1/g_step*i),0.15*(1-1/g_step*i)), zorder=0+2.5)
ax0.add_patch(circle)
# twlight
for i in range(360):
twlight.loc[i] = [ra0-math.degrees(math.atan2(math.sin(math.radians(i)),(math.cos(math.radians(i))*math.sin(math.radians(dec0))+math.tan(math.radians(-18))*math.cos(math.radians(dec0))))),\
math.degrees(math.asin(math.sin(math.radians(dec0))*math.sin(math.radians(-18))-math.cos(math.radians(dec0))*math.cos(math.radians(-18))*math.cos(math.radians(i)))),0,0]
twlight.x = list(map(transform_x, twlight.RA, twlight.Dec))
twlight.y = list(map(transform_y, twlight.RA, twlight.Dec))
twlight_pt = []
for i in range(len(twlight)-1):
twlight_pt.append([twlight['x'].tolist()[i],twlight['y'].tolist()[i]])
twlight_line = plt.Polygon(twlight_pt, closed=True, fill=None, edgecolor=(0,1,0,0.75), linestyle='--', zorder=0+2.5)
ax0.add_patch(twlight_line)
# twlight size
twli_xmax = max(twlight_pt,key=itemgetter(0))[0]
twli_xmin = min(twlight_pt,key=itemgetter(0))[0]
twli_ymax = max(twlight_pt,key=itemgetter(1))[1]
twli_ymin = min(twlight_pt,key=itemgetter(1))[1]
ax0.annotate('\u2212'+'18'+'\u00b0',((max(twlight.x)-min(twlight.y))/2*math.cos(math.radians(45)),(min(twlight.y)-max(twlight.x))/2*math.sin(math.radians(45))),rotation=45,ha='center',va='center',color='c', backgroundcolor= 'black', zorder=1+2.5)
# equator
equator_pt = []
for i in range(361):
equator_pt.append((transform_x(i,0),transform_y(i,0)))
equator_line = plt.Polygon(equator_pt, closed=False, fill=None, edgecolor=(1,0,0,plot_alpha), zorder=1+2.5)
equator_line.set_clip_path(horizon_line)
ax0.add_patch(equator_line)
# ecliptic
epsilon_J2000 = 23.4392911
for i in range(360):
ecliptic.loc[i] = [math.degrees(math.atan2(math.sin(math.radians(i))*math.cos(math.radians(epsilon_J2000)),math.cos(math.radians(i)))),\
math.degrees(math.asin(math.sin(math.radians(epsilon_J2000))*math.sin(math.radians(i)))),0,0]
ecliptic.x = list(map(transform_x, ecliptic.RA, ecliptic.Dec))
ecliptic.y = list(map(transform_y, ecliptic.RA, ecliptic.Dec))
ecliptic_pt = []
for i in range(len(ecliptic)-1):
ecliptic_pt.append([ecliptic['x'].tolist()[i],ecliptic['y'].tolist()[i]])
ecliptic_line = plt.Polygon(ecliptic_pt, closed=False, fill=None, edgecolor=(1,1,0,plot_alpha), zorder=1+2.5)
ecliptic_line.set_clip_path(horizon_line)
ax0.add_patch(ecliptic_line)
timelog('plotting solar system objects')
Sun_x = transform_x(sun_vector.radec()[0]._degrees,sun_vector.radec()[1]._degrees)
Sun_y = transform_y(sun_vector.radec()[0]._degrees,sun_vector.radec()[1]._degrees)
Moon_x = transform_x(moon_vector.radec()[0]._degrees,moon_vector.radec()[1]._degrees)
Moon_y = transform_y(moon_vector.radec()[0]._degrees,moon_vector.radec()[1]._degrees)
Mercury_x = transform_x(mercury_vector.radec()[0]._degrees,mercury_vector.radec()[1]._degrees)
Mercury_y = transform_y(mercury_vector.radec()[0]._degrees,mercury_vector.radec()[1]._degrees)
Venus_x = transform_x(venus_vector.radec()[0]._degrees,venus_vector.radec()[1]._degrees)
Venus_y = transform_y(venus_vector.radec()[0]._degrees,venus_vector.radec()[1]._degrees)
Mars_x = transform_x(mars_vector.radec()[0]._degrees,mars_vector.radec()[1]._degrees)
Mars_y = transform_y(mars_vector.radec()[0]._degrees,mars_vector.radec()[1]._degrees)
Jupiter_x = transform_x(jupiter_vector.radec()[0]._degrees,jupiter_vector.radec()[1]._degrees)
Jupiter_y = transform_y(jupiter_vector.radec()[0]._degrees,jupiter_vector.radec()[1]._degrees)
Saturn_x = transform_x(saturn_vector.radec()[0]._degrees,saturn_vector.radec()[1]._degrees)
Saturn_y = transform_y(saturn_vector.radec()[0]._degrees,saturn_vector.radec()[1]._degrees)
Uranus_x = transform_x(uranus_vector.radec()[0]._degrees,uranus_vector.radec()[1]._degrees)
Uranus_y = transform_y(uranus_vector.radec()[0]._degrees,uranus_vector.radec()[1]._degrees)
Neptune_x = transform_x(neptune_vector.radec()[0]._degrees,neptune_vector.radec()[1]._degrees)
Neptune_y = transform_y(neptune_vector.radec()[0]._degrees,neptune_vector.radec()[1]._degrees)
solar_pos_x = [Sun_x,Moon_x,Mercury_x,Venus_x,Mars_x,Jupiter_x,Saturn_x,Uranus_x,Neptune_x]
solar_pos_y = [Sun_y,Moon_y,Mercury_y,Venus_y,Mars_y,Jupiter_y,Saturn_y,Uranus_y,Neptune_y]
solar_color = ['#FFCC33','#DAD9D7','#97979F','#C18F17','#E27B58','#C88B3A','#A49B72','#D5FBFC','#3E66F9']
solar_obj = ax0.scatter(solar_pos_x,solar_pos_y,alpha=plot_alpha+0.25,color=solar_color,zorder=10+2.5)
solar_obj.set_clip_path(twlight_line)
solar_leg = ax0.scatter([-160,-120,-80,-40,0,40,80,120,160],[min(twlight.y)-10]*9,color=solar_color,zorder=4+2.5)
if sun_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u263C$',(Sun_x+2.5,Sun_y+1),color=solar_color[0],zorder=10+2.5)
if moon_vector.altaz()[0].degrees >= -18:
if moon_chi>180:
ax0.annotate('$\u263D$',(Moon_x+2.5,Moon_y+1),color=solar_color[1],zorder=10+2.5)
else:
ax0.annotate('$\u263E$',(Moon_x+2.5,Moon_y+1),color=solar_color[1],zorder=10+2.5)
if mercury_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u263F$',(Mercury_x+2.5,Mercury_y+1),color=solar_color[2],zorder=10+2.5)
if venus_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2640$',(Venus_x+2.5,Venus_y+1),color=solar_color[3],zorder=10+2.5)
if mars_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2642$',(Mars_x+2.5,Mars_y+1),color=solar_color[4],zorder=10+2.5)
if jupiter_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2643$',(Jupiter_x+2.5,Jupiter_y+1),color=solar_color[5],zorder=10+2.5)
if saturn_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2644$',(Saturn_x+2.5,Saturn_y+1),color=solar_color[6],zorder=10+2.5)
if uranus_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2645$',(Uranus_x+2.5,Uranus_y+1),color=solar_color[7],zorder=10+2.5)
if neptune_vector.altaz()[0].degrees >= -18:
ax0.annotate('$\u2646$',(Neptune_x+2.5,Neptune_y+1),color=solar_color[8],zorder=10+2.5)
ax0.annotate('$\u263C$',(-160,min(twlight.y)-15),color=solar_color[0],ha='center',va='top')
ax0.annotate('日',(-160,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[0],ha='center',va='top')
ax0.annotate('SUN',(-160,min(twlight.y)-35),color=solar_color[0],ha='center',va='top')
if moon_chi>180:
ax0.annotate('$\u263D$',(-120,min(twlight.y)-15),color=solar_color[1],ha='center',va='top')
else:
ax0.annotate('$\u263E$',(-120,min(twlight.y)-15),color=solar_color[1],ha='center',va='top')
ax0.annotate('月',(-120,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[1],ha='center',va='top')
ax0.annotate('MOON',(-120,min(twlight.y)-35),color=solar_color[1],ha='center',va='top')
ax0.annotate('$\u263F$',(-80,min(twlight.y)-15),color=solar_color[2],ha='center',va='top')
ax0.annotate('水',(-80,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[2],ha='center',va='top')
ax0.annotate('MERCURY',(-80,min(twlight.y)-35),color=solar_color[2],ha='center',va='top')
ax0.annotate('$\u2640$',(-40,min(twlight.y)-15),color=solar_color[3],ha='center',va='top')
ax0.annotate('金',(-40,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[3],ha='center',va='top')
ax0.annotate('VENUS',(-40,min(twlight.y)-35),color=solar_color[3],ha='center',va='top')
ax0.annotate('$\u2642$',(0,min(twlight.y)-15),color=solar_color[4],ha='center',va='top')
ax0.annotate('火',(0,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[4],ha='center',va='top')
ax0.annotate('MARS',(0,min(twlight.y)-35),color=solar_color[4],ha='center',va='top')
ax0.annotate('$\u2643$',(40,min(twlight.y)-15),color=solar_color[5],ha='center',va='top')
ax0.annotate('木',(40,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[5],ha='center',va='top')
ax0.annotate('JUPITER',(40,min(twlight.y)-35),color=solar_color[5],ha='center',va='top')
ax0.annotate('$\u2644$',(80,min(twlight.y)-15),color=solar_color[6],ha='center',va='top')
ax0.annotate('土',(80,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[6],ha='center',va='top')
ax0.annotate('SATURN',(80,min(twlight.y)-35),color=solar_color[6],ha='center',va='top')
ax0.annotate('$\u2645$',(120,min(twlight.y)-15),color=solar_color[7],ha='center',va='top')
ax0.annotate('天王',(120,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[7],ha='center',va='top')
ax0.annotate('URANUS',(120,min(twlight.y)-35),color=solar_color[7],ha='center',va='top')
ax0.annotate('$\u2646$',(160,min(twlight.y)-15),color=solar_color[8],ha='center',va='top')
ax0.annotate('海王',(160,min(twlight.y)-25),fontproperties=chara_chi,fontsize=10,color=solar_color[8],ha='center',va='top')
ax0.annotate('NEPTUNE',(160,min(twlight.y)-35),color=solar_color[8],ha='center',va='top')
if debug_mode == 1:
timelog('ref count horizon_line: '+str(sys.getrefcount(horizon_line)))
timelog('ref count equator_line: '+str(sys.getrefcount(equator_line)))
timelog('ref count ecliptic_pt: '+str(sys.getrefcount(ecliptic_pt)))
timelog('ref count ecliptic_line: '+str(sys.getrefcount(ecliptic_line)))
timelog('ref count Sun_x: '+str(sys.getrefcount(Sun_x)))
timelog('ref count Sun_y: '+str(sys.getrefcount(Sun_y)))
timelog('ref count solar_pos_x: '+str(sys.getrefcount(solar_pos_x)))
timelog('ref count solar_pos_y: '+str(sys.getrefcount(solar_pos_y)))
timelog('ref count solar_color: '+str(sys.getrefcount(solar_color)))
timelog('ref count solar_obj: '+str(sys.getrefcount(solar_obj)))
def plot_constellation():
global constellation_list, lc_west, lc_west_z, lc_west_dotted, labelxy
timelog('drawing constellations')
constellation_list = [And,Ant,Aps,Aqr,Aql,Ara,Ari,Aur,Boo,Cae,Cam,Cnc,CVn,CMa,CMi,Cap,Car,Cas,Cen,Cep,\
Cet,Cha,Cir,Col,Com,CrA,CrB,Crv,Crt,Cru,Cyg,Del,Dor,Dra,Equ,Eri,For,Gem,Gru,Her,\
Hor,Hya,Hyi,Ind,Lac,Leo,LMi,Lep,Lib,Lup,Lyn,Lyr,Men,Mic,Mon,Mus,Nor,Oct,Oph,Ori,\
Pav,Peg,Per,Phe,Pic,Psc,PsA,Pup,Pyx,Ret,Sge,Sgr,Sco,Scl,Sct,Ser,Sex,Tau,Tel,Tri,\
TrA,Tuc,UMa,UMi,Vel,Vir,Vol,Vul]
for df in constellation_list:
df.x = list(map(transform_x, df.RA, df.Dec))
df.y = list(map(transform_y, df.RA, df.Dec))
labelxy = 2
constellation_star = [[And.x,And.y,And.mag],[Ant.x,Ant.y,Ant.mag],[Aps.x,Aps.y,Aps.mag],[Aqr.x,Aqr.y,Aqr.mag],\
[Aql.x,Aql.y,Aql.mag],[Ara.x,Ara.y,Ara.mag],[Ari.x,Ari.y,Ari.mag],[Aur.x,Aur.y,Aur.mag],\
[Boo.x,Boo.y,Boo.mag],[Cae.x,Cae.y,Cae.mag],[Cam.x,Cam.y,Cam.mag],[Cnc.x,Cnc.y,Cnc.mag],\
[CVn.x,CVn.y,CVn.mag],[CMa.x,CMa.y,CMa.mag],[CMi.x,CMi.y,CMi.mag],[Cap.x,Cap.y,Cap.mag],\
[Car.x,Car.y,Car.mag],[Cas.x,Cas.y,Cas.mag],[Cen.x,Cen.y,Cen.mag],[Cep.x,Cep.y,Cep.mag],\
[Cet.x,Cet.y,Cet.mag],[Cha.x,Cha.y,Cha.mag],[Cir.x,Cir.y,Cir.mag],[Col.x,Col.y,Col.mag],\
[Com.x,Com.y,Com.mag],[CrA.x,CrA.y,CrA.mag],[CrB.x,CrB.y,CrB.mag],[Crv.x,Crv.y,Crv.mag],\
[Crt.x,Crt.y,Crt.mag],[Cru.x,Cru.y,Cru.mag],[Cyg.x,Cyg.y,Cyg.mag],[Del.x,Del.y,Del.mag],\
[Dor.x,Dor.y,Dor.mag],[Dra.x,Dra.y,Dra.mag],[Equ.x,Equ.y,Equ.mag],[Eri.x,Eri.y,Eri.mag],\
[For.x,For.y,For.mag],[Gem.x,Gem.y,Gem.mag],[Gru.x,Gru.y,Gru.mag],[Her.x,Her.y,Her.mag],\
[Hor.x,Hor.y,Hor.mag],[Hya.x,Hya.y,Hya.mag],[Hyi.x,Hyi.y,Hyi.mag],[Ind.x,Ind.y,Ind.mag],\
[Lac.x,Lac.y,Lac.mag],[Leo.x,Leo.y,Leo.mag],[LMi.x,LMi.y,LMi.mag],[Lep.x,Lep.y,Lep.mag],\
[Lib.x,Lib.y,Lib.mag],[Lup.x,Lup.y,Lup.mag],[Lyn.x,Lyn.y,Lyn.mag],[Lyr.x,Lyr.y,Lyr.mag],\
[Men.x,Men.y,Men.mag],[Mic.x,Mic.y,Mic.mag],[Mon.x,Mon.y,Mon.mag],[Mus.x,Mus.y,Mus.mag],\
[Nor.x,Nor.y,Nor.mag],[Oct.x,Oct.y,Oct.mag],[Oph.x,Oph.y,Oph.mag],[Ori.x,Ori.y,Ori.mag],\
[Pav.x,Pav.y,Pav.mag],[Peg.x,Peg.y,Peg.mag],[Per.x,Per.y,Per.mag],[Phe.x,Phe.y,Phe.mag],\
[Pic.x,Pic.y,Pic.mag],[Psc.x,Psc.y,Psc.mag],[PsA.x,PsA.y,PsA.mag],[Pup.x,Pup.y,Pup.mag],\
[Pyx.x,Pyx.y,Pyx.mag],[Ret.x,Ret.y,Ret.mag],[Sge.x,Sge.y,Sge.mag],[Sgr.x,Sgr.y,Sgr.mag],\
[Sco.x,Sco.y,Sco.mag],[Scl.x,Scl.y,Scl.mag],[Sct.x,Sct.y,Sct.mag],[Ser.x,Ser.y,Ser.mag],\
[Sex.x,Sex.y,Sex.mag],[Tau.x,Tau.y,Tau.mag],[Tel.x,Tel.y,Tel.mag],[Tri.x,Tri.y,Tri.mag],\
[TrA.x,TrA.y,TrA.mag],[Tuc.x,Tuc.y,Tuc.mag],[UMa.x,UMa.y,UMa.mag],[UMi.x,UMi.y,UMi.mag],\
[Vel.x,Vel.y,Vel.mag],[Vir.x,Vir.y,Vir.mag],[Vol.x,Vol.y,Vol.mag],[Vul.x,Vul.y,Vul.mag]]
stars_x = []
stars_y = []
stars_m = []
for x,y,z in constellation_star:
for j in range(len(x)):
if x[j]**2 < (hori_border/2)**2-(y[j])**2 and z[j] <= 6: #limiting mag
stars_x.append(x[j])
stars_y.append(y[j])
stars_m.append(5*(10**(-0.4*z[j]))**0.5)
ax0.scatter(stars_x,stars_y, stars_m, c='white', alpha=plot_alpha, zorder=3+2.5)
# mag scale
shift_mag = 0
for i in range(7):
ax0.scatter(twli_xmin+shift_mag+i*10+5,twli_ymin+20, 5*(10**(-0.4*i))**0.5, c='white',alpha=plot_alpha,zorder=14+2.5)
ax0.scatter(twli_xmin+shift_mag+i*10+5,twli_ymin+20, 5*(10**(-0.4*i))**0.5+20, c='k',zorder=13+2.5)
ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5,twli_ymin+2),ha='center',va='bottom',color='w',path_effects=[pe.withStroke(linewidth=1,foreground='k')],zorder=14+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5-1,twli_ymin+2+1),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5,twli_ymin+2+1),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5+1,twli_ymin+2+1),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5-1,twli_ymin+2),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5+1,twli_ymin+2),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5-1,twli_ymin+2-1),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5,twli_ymin+2-1),ha='center',va='bottom',color='k',zorder=13+2.5)
## ax0.annotate(str(i),(twli_xmin+shift_mag+i*10+5+1,twli_ymin+2-1),ha='center',va='bottom',color='k',zorder=13+2.5)
And_line = [[0,3],[1,3],[1,7],[1,9],[2,9],[3,13],[3,14],[5,10],[7,18],[8,14],[10,19],[11,18],[16,19],[13,16]]
Ant_line = [[0,2],[0,3],[1,3]]
Aps_line = [[0,3],[1,2],[1,3]]
Aqr_line = [[0,1],[0,5],[1,6],[1,10],[2,8],[3,7],[3,18],[4,8],[4,9],[4,12],[6,17],[7,30],[9,17],[10,13],[11,12],\
[11,14],[14,31],[19,30],[19,31],[21,22]]
Aql_line = [[0,1],[0,4],[0,6],[2,4],[3,7],[4,5],[4,7]]
Ara_line = [[0,1],[0,2],[0,3],[2,6],[3,4]]
Ari_line = [[0,1],[0,2]]
Aur_line = [[0,1],[0,3],[0,4],[1,2],[4,5],[4,7]]
Boo_line = [[0,1],[0,2],[0,6],[0,11],[2,4],[3,5],[3,6],[4,5]]
Cae_line = [[0,2]]
Cam_line = [[0,2],[0,4],[1,7],[2,7]]
Cnc_line = [[0,1],[1,2],[1,3]]
CVn_line = [[0,1]]
CMa_line = [[0,3],[0,6],[0,12],[0,13],[1,7],[2,6],[2,7],[2,8],[4,8],[12,13]]
CMi_line = [[0,1]]
Cap_line = [[0,3],[0,4],[1,2],[1,7],[2,5],[3,9],[4,10],[5,9],[6,7],[6,10]]
Car_line = [[0,10],[2,10],[2,14],[3,11],[3,14],[4,6],[4,15],[8,11],[8,13],[12,13],[12,15]]
Cas_line = [[0,1],[0,2],[2,3],[3,4]]
Cen_line = [[0,5],[1,5],[3,6],[3,7],[4,5],[4,8],[5,7],[6,12],[8,18],[11,18]]
Cep_line = [[0,2],[0,3],[0,4],[1,2],[1,5],[3,5],[3,6]]
Cet_line = [[0,3],[0,5],[0,6],[1,4],[1,18],[2,4],[2,8],[3,7],[4,25],[5,8],[7,8],[12,13],[12,18],[13,25]]
Cha_line = [[0,1]]
Cir_line = [[0,1],[0,2]]
Col_line = [[0,1],[0,3],[1,4],[1,2]]
Com_line = [[0,1],[0,19]]
CrA_line = [[0,1],[0,6],[1,2],[2,4],[3,4],[5,6]]
CrB_line = [[1,2],[1,3],[2,4],[3,6],[5,6],[5,10]]
Crv_line = [[0,2],[0,3],[1,2],[1,3],[3,4]]
Crt_line = [[0,1],[0,2],[0,6],[1,3],[2,3],[2,5],[4,6]]
Cru_line = [[0,4],[1,2]]
Cyg_line = [[0,1],[1,2],[1,3],[1,11],[2,5],[3,9],[4,11],[8,9]]
Del_line = [[0,1],[0,2],[0,4],[1,3],[3,4]]
Dor_line = [[0,1],[0,2],[1,3]]
Dra_line = [[0,2],[0,8],[1,4],[1,5],[2,29],[3,8],[3,9],[4,6],[5,7],[6,9],[7,11],[8,29],[10,11]]
Equ_line = [[0,2],[0,3],[1,2],[1,3]]
Eri_line = [[0,8],[1,24],[1,27],[2,4],[2,16],[3,18],[3,22],[4,9],[5,8],[5,21],[6,14],[6,19],[7,17],[7,23],[9,12],\
[10,14],[10,20],[12,30],[13,15],[13,16],[15,27],[17,30],[18,21],[19,22],[20,23]]
For_line = [[0,1],[1,7]]
Gem_line = [[0,8],[1,12],[3,5],[3,6],[4,5],[7,10],[8,10],[8,12],[9,13],[11,13]]
Gru_line = [[0,1],[0,2],[0,5],[1,3],[1,4],[4,5]]
Her_line = [[0,1],[0,5],[0,8],[1,6],[1,14],[2,4],[2,14],[3,6],[3,12],[3,14],[4,7],[6,13],[7,10],[9,12],[10,11]]
Hor_line = [[0,3],[0,6],[0,9]]
Hya_line = [[0,11],[0,12],[1,4],[1,14],[2,5],[2,9],[3,6],[3,8],[4,18],[5,13],[5,17],[6,14],[7,8],[7,12],[9,11],\
[13,19],[15,17],[15,19]]
Hyi_line = [[0,2],[0,4],[1,5],[3,4],[3,5]]
Ind_line = [[0,2],[1,2]]
Lac_line = [[0,2],[0,3],[1,5],[2,4],[4,5]]
Leo_line = [[0,5],[0,7],[0,8],[0,10],[1,2],[1,5],[2,17],[3,6],[3,8],[3,17],[4,11],[5,12],[6,11]]
LMi_line = [[0,1],[1,2]]
Lep_line = [[0,1],[0,3],[0,4],[1,5],[1,12],[2,12],[3,8],[3,9],[4,6],[5,7],[9,10]]
Lib_line = [[0,1],[0,2],[0,5],[1,2],[2,3],[3,4],[5,6]]
Lup_line = [[0,1],[0,5],[0,7],[1,3],[2,3],[2,4],[2,6],[3,8],[4,5],[6,10]]
Lyn_line = [[0,1],[1,2],[2,3],[3,7],[4,5],[4,7]]
Lyr_line = [[0,6],[0,12],[1,2],[1,4],[2,6],[4,6],[6,12]]
Men_line = [[0,1],[0,2],[1,4]]
Mic_line = [[0,1],[0,3],[1,2],[3,5]]
Mon_line = [[0,2],[1,5],[2,3],[2,5],[4,6],[5,6],[5,7]]
Mus_line = [[0,1],[0,2],[0,4],[0,5],[3,5]]
Nor_line = [[0,1],[0,7],[3,7]]
Oct_line = [[0,2],[1,2]]
Oph_line = [[0,5],[0,9],[1,2],[1,7],[1,12],[2,6],[3,6],[3,11],[5,11],[9,12]]
Ori_line = [[0,5],[0,6],[1,4],[1,10],[1,17],[2,6],[2,10],[2,34],[3,4],[3,6],[4,5],[8,12],[8,21],[12,13],[13,26],\
[17,27],[21,34],[23,24],[23,33],[24,27],[27,33]]
Pav_line = [[0,1],[1,2],[2,3],[3,4]]
Peg_line = [[0,7],[1,2],[1,4],[1,6],[2,3],[2,5],[5,7],[6,9],[8,9]]
Per_line = [[0,4],[0,5],[0,9],[1,6],[1,9],[2,10],[2,12],[3,5],[3,12],[4,7],[5,13],[6,18],[13,17],[17,21]]
Phe_line = [[0,1],[0,3],[1,2],[1,4],[2,6],[2,8],[3,7],[3,10],[4,7],[10,11],[11,16]]
Pic_line = [[0,2],[1,2]]
Psc_line = [[0,4],[0,34],[1,6],[1,21],[2,3],[2,9],[3,6],[3,11],[4,7],[5,9],[5,19],[7,10],[10,19],[11,21],[18,12],\
[18,34]]
PsA_line = [[0,1],[0,2],[1,13],[2,5],[3,5],[3,7],[4,7],[4,13]]
Pup_line = [[0,2],[0,10],[1,4],[1,29],[2,11],[2,13],[3,4],[5,10],[6,11],[6,21],[10,14],[13,33],[21,28],[28,29]]
Pyx_line = [[0,1],[0,2]]
Ret_line = [[0,1],[0,2],[1,4],[2,6],[4,6]]
Sge_line = [[0,1],[1,2],[1,3]]
Sgr_line = [[0,2],[0,3],[0,6],[0,7],[1,8],[1,9],[1,11],[2,8],[2,9],[3,4],[3,6],[3,8],[4,8],[4,12],[5,11],\
[5,36],[6,20],[9,23],[10,11],[13,24],[13,36],[14,16],[16,17],[16,18],[18,22],[22,27],[23,27]]
Sco_line = [[0,8],[0,10],[1,5],[2,11],[2,14],[3,8],[3,12],[4,6],[4,9],[4,10],[14,16],[5,7],[5,11],[9,17],[12,16]]
Scl_line = [[0,3],[1,2],[2,3]]
Sct_line = [[0,1],[0,2],[0,3],[1,6],[3,4],[4,6]]
Ser_line = [[0,5],[0,7],[1,10],[2,5],[3,10],[4,7],[4,8],[4,9],[8,9]]
Sex_line = [[0,1],[0,2]]
Tau_line = [[0,3],[0,4],[1,6],[4,9],[5,9],[5,11],[6,12],[7,11],[9,12]]
Tel_line = [[0,1],[0,2]]
Tri_line = [[0,1],[0,2],[1,2]]
TrA_line = [[0,1],[0,2],[1,4],[2,4]]
Tuc_line = [[0,1],[0,4],[1,3],[1,9],[2,3],[2,9]]
UMa_line = [[0,3],[0,10],[1,4],[1,10],[1,15],[2,3],[4,5],[4,17],[5,10],[5,16],[6,7],[6,12],[6,16],[8,9],[9,14],\
[9,17],[11,15],[11,17]]
UMi_line = [[0,6],[1,2],[1,5],[2,9],[3,5],[3,6],[5,9]]
Vel_line = [[0,8],[0,15],[1,3],[1,8],[2,7],[2,14],[3,6],[4,6],[4,11],[7,12],[11,12],[14,15]]
Vir_line = [[0,2],[0,13],[0,15],[1,3],[2,3],[2,14],[3,5],[4,9],[4,10],[5,9],[5,15],[7,14],[8,11],[10,18],[11,13],\
[12,18]]
Vol_line = [[0,4],[0,5],[1,2],[1,3],[2,5],[3,5]]
Vul_line = [[0,2],[0,5]]
constellation_line = [[And.x,And.y,And_line,'And','仙女'],[Ant.x,Ant.y,Ant_line,'Ant','唧筒'],[Aps.x,Aps.y,Aps_line,'Aps','天燕'],[Aqr.x,Aqr.y,Aqr_line,'$\u2652$','寶瓶'],\
[Aql.x,Aql.y,Aql_line,'Aql','天鷹'],[Ara.x,Ara.y,Ara_line,'Ara','天壇'],[Ari.x,Ari.y,Ari_line,'$\u2648$','白羊'],[Aur.x,Aur.y,Aur_line,'Aur','御夫'],\
[Boo.x,Boo.y,Boo_line,'Boo','牧夫'],[Cae.x,Cae.y,Cae_line,'Cae','雕具'],[Cam.x,Cam.y,Cam_line,'Cam','鹿豹'],[Cnc.x,Cnc.y,Cnc_line,'$\u264B$','巨蟹'],\
[CVn.x,CVn.y,CVn_line,'CVn','獵犬'],[CMa.x,CMa.y,CMa_line,'CMa','大犬'],[CMi.x,CMi.y,CMi_line,'CMi','小犬'],[Cap.x,Cap.y,Cap_line,'$\u2651$','摩羯'],\
[Car.x,Car.y,Car_line,'Car','船底'],[Cas.x,Cas.y,Cas_line,'Cas','仙后'],[Cen.x,Cen.y,Cen_line,'Cen','半人馬'],[Cep.x,Cep.y,Cep_line,'Cep','仙王'],\
[Cet.x,Cet.y,Cet_line,'Cet','鯨魚'],[Cha.x,Cha.y,Cha_line,'Cha','蝘蜓'],[Cir.x,Cir.y,Cir_line,'Cir','圓規'],[Col.x,Col.y,Col_line,'Col','天鴿'],\
[Com.x,Com.y,Com_line,'Com','后髮'],[CrA.x,CrA.y,CrA_line,'CrA','南冕'],[CrB.x,CrB.y,CrB_line,'CrB','北冕'],[Crv.x,Crv.y,Crv_line,'Crv','烏鴉'],\
[Crt.x,Crt.y,Crt_line,'Crt','巨爵'],[Cru.x,Cru.y,Cru_line,'Cru','南十字'],[Cyg.x,Cyg.y,Cyg_line,'Cyg','天鵝'],[Del.x,Del.y,Del_line,'Del','海豚'],\
[Dor.x,Dor.y,Dor_line,'Dor','劍魚'],[Dra.x,Dra.y,Dra_line,'Dra','天龍'],[Equ.x,Equ.y,Equ_line,'Equ','小馬'],[Eri.x,Eri.y,Eri_line,'Eri','波江'],\
[For.x,For.y,For_line,'For','天爐'],[Gem.x,Gem.y,Gem_line,'$\u264A$','雙子'],[Gru.x,Gru.y,Gru_line,'Gru','天鶴'],[Her.x,Her.y,Her_line,'Her','武仙'],\
[Hor.x,Hor.y,Hor_line,'Hor','時鐘'],[Hya.x,Hya.y,Hya_line,'Hya','長蛇'],[Hyi.x,Hyi.y,Hyi_line,'Hyi','水蛇'],[Ind.x,Ind.y,Ind_line,'Ind','印第安'],\
[Lac.x,Lac.y,Lac_line,'Lac','蝎虎'],[Leo.x,Leo.y,Leo_line,'$\u264C$','獅子'],[LMi.x,LMi.y,LMi_line,'LMi','小獅'],[Lep.x,Lep.y,Lep_line,'Lep','天兔'],\
[Lib.x,Lib.y,Lib_line,'$\u264E$','天秤'],[Lup.x,Lup.y,Lup_line,'Lup','豺狼'],[Lyn.x,Lyn.y,Lyn_line,'Lyn','天貓'],[Lyr.x,Lyr.y,Lyr_line,'Lyr','天琴'],\
[Men.x,Men.y,Men_line,'Men','山案'],[Mic.x,Mic.y,Mic_line,'Mic','顯微鏡'],[Mon.x,Mon.y,Mon_line,'Mon','麒麟'],[Mus.x,Mus.y,Mus_line,'Mus','蒼蠅'],\
[Nor.x,Nor.y,Nor_line,'Nor','矩尺'],[Oct.x,Oct.y,Oct_line,'Oct','南極'],[Oph.x,Oph.y,Oph_line,'Oph','蛇夫'],[Ori.x,Ori.y,Ori_line,'Ori','獵戶'],\
[Pav.x,Pav.y,Pav_line,'Pav','孔雀'],[Peg.x,Peg.y,Peg_line,'Peg','飛馬'],[Per.x,Per.y,Per_line,'Per','英仙'],[Phe.x,Phe.y,Phe_line,'Phe','鳳凰'],\
[Pic.x,Pic.y,Pic_line,'Pic','繪架'],[Psc.x,Psc.y,Psc_line,'$\u2653$','雙魚'],[PsA.x,PsA.y,PsA_line,'PsA','南魚'],[Pup.x,Pup.y,Pup_line,'Pup','船尾'],\
[Pyx.x,Pyx.y,Pyx_line,'Pyx','羅盤'],[Ret.x,Ret.y,Ret_line,'Ret','網罟'],[Sge.x,Sge.y,Sge_line,'Sge','天箭'],[Sgr.x,Sgr.y,Sgr_line,'$\u2650$','人馬'],\
[Sco.x,Sco.y,Sco_line,'$\u264F$','天蠍'],[Scl.x,Scl.y,Scl_line,'Scl','玉夫'],[Sct.x,Sct.y,Sct_line,'Sct','盾牌'],[Ser.x,Ser.y,Ser_line,'Ser','巨蛇'],\
[Sex.x,Sex.y,Sex_line,'Sex','六分儀'],[Tau.x,Tau.y,Tau_line,'$\u2649$','金牛'],[Tel.x,Tel.y,Tel_line,'Tel','望遠鏡'],[Tri.x,Tri.y,Tri_line,'Tri','三角'],\
[TrA.x,TrA.y,TrA_line,'TrA','南三角'],[Tuc.x,Tuc.y,Tuc_line,'Tuc','杜鵑'],[UMa.x,UMa.y,UMa_line,'UMa','大熊'],[UMi.x,UMi.y,UMi_line,'UMi','小熊'],\
[Vel.x,Vel.y,Vel_line,'Vel','船帆'],[Vir.x,Vir.y,Vir_line,'$\u264D$','室女'],[Vol.x,Vol.y,Vol_line,'Vol','飛魚'],[Vul.x,Vul.y,Vul_line,'Vul','狐狸']]
# constellation linecollection
constellation_line_z_xy1 = [] # (x,y) pair of vertics 1
constellation_line_z_xy2 = [] # (x,y) pair of vertics 2
constellation_line_xy1 = []
constellation_line_xy2 = []
for i in range(len(constellation_line)):
for j in range(len(constellation_line[i][2])):
if math.hypot(constellation_line[i][0][constellation_line[i][2][j][0]]-constellation_line[i][0][constellation_line[i][2][j][1]],\
constellation_line[i][1][constellation_line[i][2][j][0]]-constellation_line[i][1][constellation_line[i][2][j][1]]) < hori_border/2:
if i in set([3,6,11,15,37,45,48,58,65,71,72,77,85]): # zodiacs
constellation_line_z_xy1.append([(constellation_line[i][0][constellation_line[i][2][j][0]]),(constellation_line[i][1][constellation_line[i][2][j][0]])])
constellation_line_z_xy2.append([(constellation_line[i][0][constellation_line[i][2][j][1]]),(constellation_line[i][1][constellation_line[i][2][j][1]])])
else:
constellation_line_xy1.append([(constellation_line[i][0][constellation_line[i][2][j][0]]),(constellation_line[i][1][constellation_line[i][2][j][0]])])
constellation_line_xy2.append([(constellation_line[i][0][constellation_line[i][2][j][1]]),(constellation_line[i][1][constellation_line[i][2][j][1]])])
constellation_line_z_list = zip(constellation_line_z_xy1,constellation_line_z_xy2)
constellation_line_list = zip(constellation_line_xy1,constellation_line_xy2)
lc_west_z = mc.LineCollection(constellation_line_z_list, colors='yellow', zorder=10+2.5)
lc_west = mc.LineCollection(constellation_line_list, colors='white', zorder=10+2.5)
lc_west_z.set_alpha(plot_alpha)
lc_west_z.set_clip_path(twlight_line)
lc_west.set_alpha(plot_alpha)
lc_west.set_clip_path(twlight_line)
ax0.add_collection(lc_west_z)
ax0.add_collection(lc_west)
# others linecollection
constellation_dotted_line = [[(Aur.x[3],Aur.y[3]),(Tau.x[1],Tau.y[1])],[(Aur.x[2],Aur.y[2]),(Tau.x[1],Tau.y[1])],\
[(Peg.x[1],Peg.y[1]),(And.x[0],And.y[0])],[(Peg.x[3],Peg.y[3]),(And.x[0],And.y[0])],\
[(Ser.x[3],Ser.y[3]),(Oph.x[7],Oph.y[7])],[(Ser.x[2],Ser.y[2]),(Oph.x[3],Oph.y[3])],\
[(PsA.x[0],PsA.y[0]),(Aqr.x[18],Aqr.y[18])]]
constellation_dotted_line_list = []
for i in range(len(constellation_dotted_line)):
if math.hypot(constellation_dotted_line[i][0][0]-constellation_dotted_line[i][1][0],\
constellation_dotted_line[i][0][1]-constellation_dotted_line[i][1][1]) < hori_border/2:
constellation_dotted_line_list.append(constellation_dotted_line[i])
lc_west_dotted = mc.LineCollection(constellation_dotted_line_list, colors='white', linestyles='dashed',zorder=10+2.5)
lc_west_dotted.set_alpha(plot_alpha)
lc_west_dotted.set_clip_path(twlight_line)
ax0.add_collection(lc_west_dotted)
# annotation
olw = 1 #text outline width
for x,y,z,n,c in constellation_line:
if math.hypot(numpy.mean(x),numpy.mean(y)) < hori_border/2 and max(x)-min(x) < hori_border:
if n in set(['$\u2652$','$\u2648$','$\u264B$','$\u2651$','$\u264A$','$\u264C$','$\u264E$','$\u2653$','$\u2650$','$\u264F$','$\u2649$','$\u264D$']):
ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='y',path_effects=[pe.withStroke(linewidth=1,foreground='k',alpha=0.75)],zorder=9+2.5)
ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='y',path_effects=[pe.withStroke(linewidth=1,foreground='k',alpha=0.75)],zorder=9+2.5)
## #outline
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
else:
ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='w',path_effects=[pe.withStroke(linewidth=1,foreground='k',alpha=0.75)],zorder=9+2.5)
ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='w',path_effects=[pe.withStroke(linewidth=1,foreground='k',alpha=0.75)],zorder=9+2.5)
## #outline
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)+olw,numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x),numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(n),(numpy.mean(x)-olw,numpy.mean(y)-labelxy+olw),horizontalalignment='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)+olw,numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x),numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12-olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
## ax0.annotate(str(c),(numpy.mean(x)-olw,numpy.mean(y)-labelxy-12+olw),fontproperties=chara_chi,ha='center',alpha=0.75,color='k',zorder=8+2.5)
if debug_mode == 1:
timelog('ref count constellation_list: '+str(sys.getrefcount(constellation_list)))
timelog('ref count labelxy: '+str(sys.getrefcount(labelxy)))
timelog('ref count And_line: '+str(sys.getrefcount(And_line)))
timelog('ref count constellation_line: '+str(sys.getrefcount(constellation_line)))
timelog('ref count constellation_line_z_xy1: '+str(sys.getrefcount(constellation_line_z_xy1)))
timelog('ref count constellation_line_z_xy2: '+str(sys.getrefcount(constellation_line_z_xy2)))
timelog('ref count constellation_line_xy1: '+str(sys.getrefcount(constellation_line_xy1)))
timelog('ref count constellation_line_xy2: '+str(sys.getrefcount(constellation_line_xy2)))
timelog('ref count constellation_line_z_list: '+str(sys.getrefcount(constellation_line_z_list)))
timelog('ref count constellation_line_list: '+str(sys.getrefcount(constellation_line_list)))
timelog('ref count lc_west_z: '+str(sys.getrefcount(lc_west_z)))
timelog('ref count lc_west: '+str(sys.getrefcount(lc_west)))
timelog('ref count constellation_dotted_line: '+str(sys.getrefcount(constellation_dotted_line)))
timelog('ref count constellation_dotted_line_list: '+str(sys.getrefcount(constellation_dotted_line_list)))
timelog('ref count lc_west_dotted: '+str(sys.getrefcount(lc_west_dotted)))
def plot_MW():
timelog('weaving Milkyway')
MW_list = [MW_southernedge,MW_MonPer,MW_CamCas,MW_Cep,MW_CygOph,MW_OphSco,MW_LupVel,MW_VelMon,\
dark_PerCas,dark_CasCep,dark_betaCas,dark_CygCep,dark_CygOph,dark_thetaOph,dark_lambdaSco,dark_ScoNor,dark_Coalsack,dark_Vel,\
MW_LMC1,MW_LMC2,MW_SMC]
MW_line_list = []
for df in MW_list:
df.x = list(map(transform_x, df.RA, df.Dec))
df.y = list(map(transform_y, df.RA, df.Dec))
for i in range(len(df)-1):
if (df.x[i])**2 < (hori_border/2)**2-(df.y[i])**2:
MW_line_list.append([(df.x[i],df.y[i]),(df.x[i+1],df.y[i+1])])
lc_MW = mc.LineCollection(MW_line_list, colors='c',alpha=plot_alpha, zorder=1+2.5)
ax0.add_collection(lc_MW)
if debug_mode == 1:
timelog('ref count MW_list: '+str(sys.getrefcount(MW_list)))
timelog('ref count MW_line_list: '+str(sys.getrefcount(MW_line_list)))
timelog('ref count lc_MW: '+str(sys.getrefcount(lc_MW)))
def plot_boundary():
timelog('drawing boundaries')
boundary.x = list(map(transform_x, boundary.RA*15, boundary.Dec)) #convert RA to degrees
boundary.y = list(map(transform_y, boundary.RA*15, boundary.Dec))
boundary_line_list = []
for i in range(len(boundary)-1):
if boundary.Constellation[i] == boundary.Constellation[i+1]:
boundary_line_list.append([(boundary.x[i],boundary.y[i]),(boundary.x[i+1],boundary.y[i+1])])
lc_boundary = mc.LineCollection(boundary_line_list, colors=[1,0.5,0,0.15],alpha=plot_alpha/3, zorder=1+2.5)
lc_boundary.set_clip_path(horizon_line)
ax0.add_collection(lc_boundary)
if debug_mode == 1:
timelog('ref count boundary.x: '+str(sys.getrefcount(boundary.x)))
timelog('ref count boundary.y: '+str(sys.getrefcount(boundary.y)))
timelog('ref count boundary_line_list: '+str(sys.getrefcount(boundary_line_list)))
timelog('ref count lc_boundary: '+str(sys.getrefcount(lc_boundary)))
def write_label(x,y,z,c1,c2,c3): # (x,y) are text offset, z is zorder, (c1,c2,c3) are text colors