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plotann.py
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#! /usr/bin/env python3
# This file is part of the Astrometry.net suite.
# Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function
import sys
import os
from optparse import OptionParser
# from util/addpath.py
if __name__ == '__main__':
mydir = sys.path[0]
andir = os.path.dirname(mydir)
rootdir = os.path.dirname(andir)
sys.path.insert(1, rootdir)
from astrometry.plot.plotstuff import *
from astrometry.util.fits import *
def match_kdtree_catalog(wcs, catfn):
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match, tree_permute
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
rc,dc = wcs.get_center()
rr = wcs.get_radius()
kd = tree_open(catfn)
kd2 = tree_build_radec(np.array([rc]), np.array([dc]))
r = deg2dist(rr)
I,J,nil = trees_match(kd, kd2, r, permuted=False)
del kd2
xyz = kd.get_data(I.astype(np.uint32))
I = kd.permute(I)
del kd
tra,tdec = xyztoradec(xyz)
return tra, tdec, I
def get_annotations(wcs, opt):
# Objects to annotate:
annobjs = []
if opt.uzccat:
# FIXME -- is this fast enough, or do we need to cut these
# targets first?
T = fits_table(opt.uzccat)
for i in range(len(T)):
if not wcs.is_inside(T.ra[i], T.dec[i]):
continue
annobjs.append((T.ra[i], T.dec[i], 'uzc', ['UZC %s' % T.zname[i]]))
if opt.hipcat:
# FIXME -- is this fast enough, or do we need to cut these
# targets first?
T = fits_table(opt.hipcat)
for i in range(len(T)):
if not wcs.is_inside(T.ra[i], T.dec[i]):
continue
if opt.hiplabel:
txt = ['HIP %i (%.1f)' % (T.hip[i], T.vmag[i])]
else:
txt = ['']
annobjs.append((T.ra[i], T.dec[i], 'HIP', txt))
if opt.abellcat:
T = fits_table(opt.abellcat)
for i in range(len(T)):
if not wcs.is_inside(T.ra[i], T.dec[i]):
continue
annobjs.append((T.ra[i], T.dec[i], 'abell', ['Abell %i' % T.aco[i]]))
if opt.t2cat:
#print 'Matching Tycho2...'
tra,tdec,I2 = match_kdtree_catalog(wcs, opt.t2cat)
T = fits_table(opt.t2cat, hdu=6)
for r,d,t1,t2,t3 in zip(tra,tdec, T.tyc1[I2], T.tyc2[I2], T.tyc3[I2]):
if not wcs.is_inside(r, d):
continue
annobjs.append((r, d, 'tycho2', ['Tycho-2 %i-%i-%i' % (t1,t2,t3)]))
return annobjs
def get_annotations_for_wcs(wcs, opt):
anns = get_annotations(wcs, opt)
circs = []
if opt.ngcnames:
T = fits_table(opt.ngcnames)
T.cut(np.array([len(s) for s in T.name]))
T.isngc = np.array([not s.startswith('I') for s in T.name])
T.num = np.array([int(s.replace('I','').strip()) for s in T.name])
namemap = {}
for X,nm in zip(zip(T.isngc, T.num), T.object):
if not X in namemap:
namemap[X] = []
namemap[X].append(nm)
else:
namemap = None
for nm,isngc,cat in [('NGC', True, opt.ngccat), ('IC', False, opt.iccat)]:
if not cat:
continue
T = fits_table(cat)
num = T.get(nm.lower() + 'num')
for i in range(len(T)):
# FIXME -- include NGC object radius...?
if not wcs.is_inside(float(T.ra[i]), float(T.dec[i])):
continue
names = ['%s %i' % (nm, num[i])]
if namemap:
more = namemap.get((isngc, num[i]), None)
if more:
names += more #' / '.join(more)
if T.radius[i]:
circs.append((T.ra[i], T.dec[i], nm.lower(), names, T.radius[i]))
else:
anns.append((T.ra[i], T.dec[i], nm.lower(), names))
if opt.hdcat:
ra,dec,I = match_kdtree_catalog(wcs, opt.hdcat)
for r,d,i in zip(ra,dec,I):
if not wcs.is_inside(r, d):
continue
# good ol' HD catalog and its sensible numbering scheme
anns.append((r, d, 'hd', ['HD %i' % (i+1)]))
if opt.brightcat:
T = fits_table(opt.brightcat)
if opt.nbright:
T.cut(np.argsort(T.vmag))
nb = 0
for r,d,n1,n2,vmag in zip(T.ra, T.dec, T.name1, T.name2, T.vmag):
if not wcs.is_inside(r, d):
continue
# print('Bright-star catalog:', n1, n2, type(n1))
names = []
n1 = n1.strip()
if len(n1):
if '\\u' in n1:
try:
# py2 only
n1 = unicode(n1)
except:
pass
import json
x = json.dumps(n1)
x = x.replace('\\\\','\\')
n1 = json.loads(x)
names.append(n1)
n2 = n2.strip()
if len(n2):
names.append(n2)
if len(names) == 0:
# skip unnamed stars
continue
anns.append((r, d, 'bright', names, vmag))
nb += 1
if opt.nbright and nb >= opt.nbright:
break
jobjs = []
for ann in anns:
r,d,typ,names = ann[:4]
ok,x,y = wcs.radec2pixelxy(float(r),float(d))
dd = dict(type=typ, names=names, pixelx=float(x), pixely=float(y),
radius=0.)
if len(ann) == 5:
mag = ann[4]
dd.update(vmag=float(mag))
jobjs.append(dd)
for r,d,typ,names,rad in circs:
ok,x,y = wcs.radec2pixelxy(float(r),float(d))
pixscale = wcs.pixel_scale()
pixrad = (rad * 3600.) / pixscale
jobjs.append(dict(type=typ, names=names, pixelx=float(x), pixely=float(y),
radius=float(pixrad)))
return jobjs
class OptDuck(object):
pass
def get_empty_opts():
opt = OptDuck()
opt.ngc = False
opt.bright = False
opt.brightcat = None
opt.nbright = 0
opt.hdcat = None
opt.uzccat = None
opt.t2cat = None
opt.abellcat = None
opt.ngccat = None
opt.ngcnames = None
opt.iccat = None
opt.hipcat = None
opt.hiplabel = False
return opt
if __name__ == '__main__':
parser = OptionParser('usage: %prog <wcs.fits file> <image file> <output.{jpg,png,pdf} file>\n' +
' OR %prog <wcs.fits> for JSON output')
parser.add_option('--scale', dest='scale', type=float,
help='Scale plot by this factor')
parser.add_option('--no-ngc', dest='ngc', action='store_false', default=True)
parser.add_option('--no-bright', dest='bright', action='store_false', default=True)
parser.add_option('--no-const', dest='const', action='store_false', default=True, help='Do not plot constellations')
parser.add_option('--hdcat', dest='hdcat',
help='Path to Henry Draper catalog hd.fits')
parser.add_option('--uzccat', dest='uzccat',
help='Path to Updated Zwicky Catalog uzc2000.fits')
parser.add_option('--tycho2cat', dest='t2cat',
help='Path to Tycho-2 KD-tree file')
parser.add_option('--abellcat', dest='abellcat',
help='Path to Abell catalog abell-all.fits')
parser.add_option('--hipcat', dest='hipcat',
help='Path to Hipparcos catalog hip.fits')
parser.add_option('--hiplabel', action='store_true',
help='Label Hipparcos stars')
parser.add_option('--ngccat', dest='ngccat',
help='Path to NGC catalog openngc-ngc.fits -- ONLY USED FOR JSON OUTPUT!')
parser.add_option('--ngcnames', dest='ngcnames',
help='Path to openngc-names.fits for aliases')
parser.add_option('--iccat', dest='iccat',
help='Path to IC catalog openngc-ic.fits -- ONLY USED FOR JSON OUTPUT!')
parser.add_option('--ngcfrac', dest='ngcfrac', type=float, default=0.,
help='Minimum fraction of image size to plot NGC/IC objs; default %default')
parser.add_option('--brightcat', dest='brightcat',
help='Path to bright-star catalog -- ONLY USED FOR JSON OUTPUT!')
parser.add_option('--nbright', dest='nbright', type=int, default=0,
help='Max number of bright stars')
parser.add_option('--target', '-t', dest='target', action='append',
default=[],
help='Add named target (eg "M 31", "NGC 1499")')
parser.add_option('--target-rd', '-T', dest='targetrd', nargs=3, action='append',
default=[],
help='Add a custom target with RA,Dec (eg, "-T \'My Star\' 34.33 0.87"')
parser.add_option('--no-grid', dest='grid', action='store_false',
default=True, help='Turn off grid lines')
parser.add_option('--grid-size', dest='gridsize', type=float,
default=0.1,
help='Grid spacing (in degrees), default %default')
parser.add_option('--grid-color', dest='gridcolr',
default='0.2:0.2:0.2',
help='Grid color, default %default')
parser.add_option('--grid-label', dest='gridlab', type=float,
default=0.2,
help='Grid label spacing (in degrees), default %default')
parser.add_option('--tcolor', dest='textcolor', default='green',
help='Text color')
parser.add_option('--tsize', dest='textsize', default=18, type=float,
help='Text font size')
parser.add_option('--halign', dest='halign', default='C',
help='Text horizontal alignment')
parser.add_option('--valign', dest='valign', default='B',
help='Text vertical alignment')
parser.add_option('--tox', dest='tox', default=0, type=float,
help='Text offset x')
parser.add_option('--toy', dest='toy', default=-10, type=float,
help='Text offset y')
parser.add_option('--lw', dest='lw', default=2, type=float,
help='Annotations line width')
parser.add_option('--ms', dest='ms', default=0., type=float,
help='Marker size')
parser.add_option('--rd', dest='rd', action='append', default=[],
help='Plot RA,Dec markers')
parser.add_option('--xy', dest='xy', action='append', default=[],
help='Plot x,y markers')
parser.add_option('--quad', dest='quad', action='append', default=[],
help='Plot quad from given match file')
parser.add_option('--pastel', action='store_true',
help='Pastel colors for constellations and bright stars?')
parser.add_option('-v', '--verbose',
action='store_true', dest='verbose', help='be chatty')
opt,args = parser.parse_args()
dojson = False
if len(args) == 3:
imgfn = args[1]
outfn = args[2]
else:
if len(args) == 1:
dojson = True
else:
parser.print_help()
sys.exit(-1)
import logging
logformat = '%(message)s'
from astrometry.util.util import log_init #, LOG_VERB, LOG_MSG
loglvl = 2
if opt.verbose:
logging.basicConfig(level=logging.DEBUG, format=logformat)
loglvl += 1
else:
logging.basicConfig(level=logging.INFO, format=logformat)
log_init(loglvl)
wcsfn = args[0]
if dojson:
from astrometry.util.util import anwcs
wcs = anwcs(wcsfn,0)
jobjs = get_annotations_for_wcs(wcs, opt)
import json
j = json.dumps(jobjs)
print(j)
sys.exit(0)
fmt = PLOTSTUFF_FORMAT_JPG
s = outfn.split('.')
if len(s):
s = s[-1].lower()
if s in Plotstuff.format_map:
fmt = s
plot = Plotstuff(outformat=fmt, wcsfn=wcsfn)
#plot.wcs_file = wcsfn
#plot.outformat = fmt
#plotstuff_set_size_wcs(plot.pargs)
if opt.ms:
plot.markersize = opt.ms
plot.fontsize = opt.textsize
plot.outfn = outfn
img = plot.image
img.set_file(imgfn)
if opt.scale:
plot.scale_wcs(opt.scale)
plot.set_size_from_wcs()
#W,H = img.get_size()
plot.plot('image')
if opt.grid:
plot.color = opt.gridcolr
plot.plot_grid(opt.gridsize, opt.gridsize,
opt.gridlab, opt.gridlab)
ann = plot.annotations
ann.NGC = opt.ngc
ann.constellations = opt.const
ann.constellation_labels = opt.const
ann.constellation_labels_long = opt.const
ann.bright = opt.bright
ann.ngc_fraction = opt.ngcfrac
if opt.pastel:
ann.constellation_pastel = True
ann.bright_pastel = True
#print(ann.constellation_pastel)
if opt.hdcat:
ann.HD = True
ann.HD_labels = True
ann.hd_catalog = opt.hdcat
anns = get_annotations(plot.wcs, opt)
for r,d,typ,names in anns:
name = ' / '.join(names)
ann.add_target(r, d, name)
plot.color = opt.textcolor
plot.fontsize = opt.textsize
plot.lw = opt.lw
plot.valign = opt.valign
plot.halign = opt.halign
plot.label_offset_x = opt.tox;
plot.label_offset_y = opt.toy;
if len(opt.target):
for t in opt.target:
if plot_annotations_add_named_target(ann, t):
raise RuntimeError('Unknown target', t)
# if you want to plot normal vs named targets differently:
# plot.plot('annotations')
# ann.clear_targets()
# ann.NGC = False
# ann.constellations = False
# ann.bright = False
# ann.HD = False
# plot.color = 'red'
if len(opt.targetrd):
for name,ra,dec in opt.targetrd:
try:
ra = float(ra)
except:
print('Failed to parse RA string as float:', ra)
raise
try:
dec = float(dec)
except:
print('Failed to parse Dec string:', dec)
raise
ann.add_target(ra, dec, name)
plot.plot('annotations')
if False:
# Could plot bright stars like this, rather than via setting "ann.bright = True"
n = bright_stars_n()
plot.markersize = 5
plot.color = 'cyan'
plot.marker = 'circle'
plot.apply_settings()
for i in range(n):
s = bright_stars_get(i)
if len(s.name) == 0 and len(s.common_name) == 0:
continue
ok,x,y = plotstuff_radec2xy(plot, s.ra, s.dec)
if not ok:
continue
if x < 0 or y < 0 or x > plot.W or y > plot.H:
continue
#print('Star', s.name, '(%s)' % s.common_name, 'at %.1f, %.1f' % (x,y))
txt = s.common_name
if len(txt) == 0:
continue
#txt = s.name
# Grab first common name
txt = txt.split('/')[0]
plot.marker_xy(x, y)
plot.text_xy(x, y, txt)
plot.stroke()
for rdfn in opt.rd:
rd = plot.radec
rd.fn = rdfn
plot.plot('radec')
for fn in opt.xy:
xy = plot.xy
xy.fn = fn
plot.plot('xy')
for mfn in opt.quad:
match = fits_table(mfn)
for m in match:
qp = m.quadpix
xy = [(qp[0], qp[1])]
#plot.move_to_xy(qp[0], qp[1])
for d in range(1, m.dimquads):
#plot.line_to_xy(qp[2 * d], qp[2 * d + 1])
xy.append((qp[2 * d], qp[2 * d + 1]))
#plot.stroke()
plot.polygon(xy)
plot.close_path()
plot.stroke()
plot.write()