def plotGrid(plt):
plt.figure(figsize=(18, 11.25))
# plotUtil.setGridSize(-2, 33, 22, 52)
# plotUtil.setGridSize(9, 16, 36, 43)
plotUtil.setGridSize(9.3, 12, 40.2, 42.4)
plt.xlabel('RA')
plt.ylabel('DEC')
plotUtil.plotGrid(plt, 0.1)
def plotGalaxy(plt):
plt.plot(common.M31_RA, common.M31_DEC, '*', color='r')
plt.plot(common.M32_RA, common.M32_DEC, '*', color='r')
plt.plot(common.M33_RA, common.M33_DEC, '*', color='r')
plotUtil.plotEllipseWithParam(plt, common.M31_RA, common.M31_DEC, common.M31_Width, common.M31_height,
common.M31_Angle, (0, 0, 0, 0), (0, 0, 0, 0.4))
plotUtil.plotEllipseWithParam(plt, common.M32_RA, common.M32_DEC, common.M32_Width, common.M32_height,
common.M31_Angle, (0, 0, 0, 0), (0, 0, 0, 0.4))
def plotOver(lamostTable, sdssTable, mu):
dic_lamost = getCoordinateDic(lamostTable)
dic_sdss = getCoordinateDic(sdssTable)
dic_over = {}
for ra in dic_lamost.keys():
for dec in dic_lamost[ra].keys():
lcount = dic_lamost[ra][dec]
scount = util.getDic2Value(dic_sdss, ra, dec)
if scount is None:
util.setItemToDic2(dic_over, ra, dec, 10)
else:
util.setItemToDic2(dic_over, ra, dec, float(lcount) / float(scount))
for ra in dic_sdss.keys():
for dec in dic_sdss[ra].keys():
if not util.isInDic2(dic_lamost, ra, dec):
util.setItemToDic2(dic_over, ra, dec, 11)
for ra in dic_over.keys():
for dec in dic_over[ra].keys():
alpha = dic_over[ra][dec]
if alpha == 10:
plotUtil.plotRectangleWithParam(plt, ra, dec, 1, 1, "red")
elif alpha == 11:
plotUtil.plotRectangleWithParam(plt, ra, dec, 1, 1, "blue")
else:
newAlpha = alpha * mu
if newAlpha > 1:
newAlpha = 1
plotUtil.plotRectangleWithParam(plt, ra, dec, 1, 1, "black", newAlpha)
plt.title("Lamost/SDSS Covered")
CommonPlot.plotGrid(plt)
CommonPlot.plotGalaxy(plt)
plt.savefig('/media/zdwdong/my/fits/Cover/Lamost_OVER_SDSS_' + str(mu) + '.png')
plt.close()
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
mean = np.mean(value_new)
plotUtil.plotText(plt, key, 8.5, round(std, 2))
plotUtil.plotText(plt, key, 9, round(mean, 1))
count_value = len(value)
x = []
for i in range(count_value):
x.append(key)
plt.plot(x, value_new, '.')
x_mean.append(key)
y_mean.append(mean)
x_3std1.append(key)
x_3std2.append(key)
y_3std1.append(mean + 3)
# coding=utf-8
__author__ = 'zdwdong'
"""
画 teff/logg散点图
"""
import CodeLib.Database.MySQLHepler as sqlHelper
import matplotlib.pyplot as plt
import CodeLib.Util.PlotUtil as plotUtil
sql_select = "select teff,logg from dr3.M31_ELL where teff>0 and logg>0"
data = sqlHelper.getFetchAll(sql_select)
teff = []
logg = []
for dataRow in data:
teff.append(float(dataRow[0]))
logg.append(float(dataRow[1]))
plt.title("Lamost Logg_teff")
plt.plot(teff, logg, '.')
plt.xlabel('teff')
plt.ylabel('logg')
plotUtil.plotGrid(plt)
plotUtil.invertX(plt)
plt.show()
