def matchdf(df1, df2, ra1, de1, ra2, de2):
if len(df1)<len(df2):
prim=df1
primname=[ra1,de1]
sec=df2
secname=[ra2,de2]
else:
prim=df2
primname=[ra2,de2]
sec=df1
secname=[ra1,de1]
colnames=prim.columns.values.tolist()+sec.columns.values.tolist()
new_df=df(columns=colnames)
coord=sc(prim[primname[0]], prim[primname[1]], unit='deg')
for i in sec.index.values:
t=sc(sec[secname[0]].values[i],sec[secname[1]].values[i], unit='deg')
matches, dist = mc(t,coord,3.0,0)
print matches
if matches and len(matches)>0:
tempdf=df([prim.values[int(matches[0])].tolist()+sec.values[i].tolist()],columns=colnames)
#print tempdf[[ra1,de1,ra2,de2]]
matches=None
new_df=new_df.append(tempdf,ignore_index=True)
return new_df
##models=df(d, index=d.get)
##print d['yr8_1285e07']
##d=None
##print models[0]
cur.close()
con.close()
ucoldefs=['ra','de','urat1', 'J','e_J','K','e_K','H','e_H']
con=p2.connect("dbname='stars' user='******' host='localhost'")
cur=con.cursor()
cur.execute("select ra, dec, mem from alejandroslist where mem > 50")
ajl=df(cur.fetchall(), columns=['ra','de','mem'])
cur.execute("select raj2000, dej2000, urat1, jmag, e_jmag, kmag, e_kmag, hmag, e_hmag from urat where jmag-kmag<0.6")
urat=df(cur.fetchall(),columns=ucoldefs)
usc=sc(urat['ra'],urat['de'],unit='deg')
asc=sc(ajl['ra'],ajl['de'],unit='deg')
matches, dist = mc(asc, usc, 3.0, 0)
match_df=df(columns=ucoldefs+['mem','col'])
for m in matches:
tmp=sc(urat['ra'][m],urat['de'][m],unit='deg')
temp_match,na=mc(tmp, asc, 3.0, 0)
if temp_match and len(temp_match)>0:
tdf=df([urat[ucoldefs].values[m]],columns=ucoldefs)
mem=ajl['mem'].values[temp_match[0]]
col=['#%02x%02x%02x' % (0,int(255*(.01*mem)),0)]
tdf['mem']=mem
tdf['col']=col
match_df=match_df.append(tdf)
match_df=match_df.set_index('urat1',drop = False)
yrsplit=re.compile(r'yr(\d)_(\d{4})e(\d{2})')
models=df(mes,columns=['name']).set_index('name', drop=False)
models['age']=0
