for ii in range(nlocs):
indx= (data['LOCATION'] == locs[ii])
#l
printline= '$%i^\circ$ ' % int(round(numpy.mean(data['GLON'][indx])))
# # of data
printline+= '& %i' % numpy.sum(indx)
# # of data H < 12.2
printline+= '& %i' % numpy.sum((data['LOCATION'] == locs[ii])*(data['HMAG'] < 12.2))
# # of data 12.2 <= H < 12.8
nn= numpy.sum((data['LOCATION'] == locs[ii])*(data['HMAG'] >= 12.2)*(data['HMAG'] < 12.8))
if nn > 0:
printline+= '& %i' % nn
else:
printline+= '& 0'
# # of data 12.8 <= H < 13.8
nn= numpy.sum((data['LOCATION'] == locs[ii])*(data['HMAG'] >= 12.8)*(data['HMAG'] < 13.8))
if nn > 0: printline+= '& %i' % nn
else: printline+= '& 0 '
#median ak
printline+= '& %.1f ' % numpy.median(data['AK'][indx])
#median visits
#printline+= '& %i ' % numpy.median(data['NVISITS'][indx])
#Write the line
if not ii == (nlocs-1): printline+= '\\\\\n'
else: printline+= '\n'
outfile.write(printline)
outfile.close()
if __name__ == '__main__':
fieldsTable(get_options())
# # of data
printline += '& %i' % numpy.sum(indx)
# # of data H < 12.2
printline += '& %i' % numpy.sum(
(data['LOCATION'] == locs[ii]) * (data['HMAG'] < 12.2))
# # of data 12.2 <= H < 12.8
nn = numpy.sum((data['LOCATION'] == locs[ii]) *
(data['HMAG'] >= 12.2) * (data['HMAG'] < 12.8))
if nn > 0:
printline += '& %i' % nn
else:
printline += '& 0'
# # of data 12.8 <= H < 13.8
nn = numpy.sum((data['LOCATION'] == locs[ii]) *
(data['HMAG'] >= 12.8) * (data['HMAG'] < 13.8))
if nn > 0: printline += '& %i' % nn
else: printline += '& 0 '
#median ak
printline += '& %.1f ' % numpy.median(data['AK'][indx])
#median visits
#printline+= '& %i ' % numpy.median(data['NVISITS'][indx])
#Write the line
if not ii == (nlocs - 1): printline += '\\\\\n'
else: printline += '\n'
outfile.write(printline)
outfile.close()
if __name__ == '__main__':
fieldsTable(get_options())
pyplot.ylim(-14.5,14.5)
pyplot.xlim(0.,360.)
bovy_plot._add_ticks()
nullfmt = NullFormatter() # no labels
axTop.xaxis.set_major_formatter(nullfmt)
#pyplot.xlabel(r'$\mathrm{Galactic\ longitude}\ [\mathrm{deg}]$')
pyplot.xlim(0.,360.)
bovy_plot._add_ticks()
#Plot the chi2
fig.sca(axChi2)
bovy_plot.bovy_plot([0.,360.],[0.,0.],'-',color='0.5',overplot=True)
bovy_plot.bovy_plot(l_plate,
logl_plate,
'ko',overplot=True)
pyplot.ylabel(r'$\Delta \chi^2$')
#pyplot.ylim(numpy.amin(logl_plate),numpy.amax(logl_plate))
pyplot.ylim(-150.,150.)
pyplot.xlim(0.,360.)
bovy_plot._add_ticks()
pyplot.xlabel(r'$\mathrm{Galactic\ longitude}\ [\mathrm{deg}]$')
pyplot.xlim(0.,360.)
bovy_plot._add_ticks()
#Save
bovy_plot.bovy_end_print(options.plotfilename)
return None
if __name__ == '__main__':
numpy.random.seed(1) #We need to seed to get, e.g., the same permutation when downsampling
plot_chi2(get_options())
pyplot.ylim(-14.5, 14.5)
pyplot.xlim(0., 360.)
bovy_plot._add_ticks()
nullfmt = NullFormatter() # no labels
axTop.xaxis.set_major_formatter(nullfmt)
#pyplot.xlabel(r'$\mathrm{Galactic\ longitude}\ [\mathrm{deg}]$')
pyplot.xlim(0., 360.)
bovy_plot._add_ticks()
#Plot the chi2
fig.sca(axChi2)
bovy_plot.bovy_plot([0., 360.], [0., 0.], '-', color='0.5', overplot=True)
bovy_plot.bovy_plot(l_plate, logl_plate, 'ko', overplot=True)
pyplot.ylabel(r'$\Delta \chi^2$')
#pyplot.ylim(numpy.amin(logl_plate),numpy.amax(logl_plate))
pyplot.ylim(-150., 150.)
pyplot.xlim(0., 360.)
bovy_plot._add_ticks()
pyplot.xlabel(r'$\mathrm{Galactic\ longitude}\ [\mathrm{deg}]$')
pyplot.xlim(0., 360.)
bovy_plot._add_ticks()
#Save
bovy_plot.bovy_end_print(options.plotfilename)
return None
if __name__ == '__main__':
numpy.random.seed(
1
) #We need to seed to get, e.g., the same permutation when downsampling
plot_chi2(get_options())
