def genSpecDistribute():
allModelList = util.listDirFiles(sourceDir)
dic = {}
for modelPath in allModelList:
specType = getSpecType(modelPath)
util.addItemToDic(dic, specType[0], modelPath)
avgCount = int(modelCount / 7)
for key in dic.keys():
modelMatchFileCopy(dic, key, avgCount, modelDir_avg)
disCount = 0
for key in dic_dis.keys():
disCount += dic_dis[key]
for key in dic.keys():
typeCount = int(float(dic_dis[key]) / disCount * modelCount)
if typeCount == 0:
typeCount = 1
modelMatchFileCopy(dic, key, typeCount, modelDir_dis)
for key in dic.keys():
modelMatchFileCopy(dic, key, 10, targetFitsDir)
def getCoordinateMap(data):
"""
get dictionary of ra and dec
ra - dec
"""
dic_radec = {}
for row in data:
ra = int(row[0])
dec = int(row[1])
util.addItemToDic(dic_radec, ra, dec)
return dic_radec
import CodeLib.Util.PlotUtil as plotUtil
import CodeLib.Util.CommonUtil as util
sql_select_distance = "select mag3,teff from dr3.All_Distance where mag3>0"
sql_count_distance = "select count(*) from dr3.All_Distance where mag3>0"
rs, teffs, count = dfh.get2FieldsData(sql_select_distance, sql_count_distance)
dic = {}
for i in range(count):
k = int(teffs[i])
k1 = int(k / 100)
k2 = k1 + 1
r = float(rs[i])
util.addItemToDic(dic, k1, r)
util.addItemToDic(dic, k2, r)
x_mean = []
y_mean = []
x_3std1 = []
y_3std1 = []
x_3std2 = []
y_3std2 = []
for key in dic.keys():
value = dic[key]
std = np.std(value)
value_new = value / std
dic[key] = value_new
