本文整理汇总了Python中biggles.FramedPlot.xtitle方法的典型用法代码示例。如果您正苦于以下问题：Python FramedPlot.xtitle方法的具体用法？Python FramedPlot.xtitle怎么用？Python FramedPlot.xtitle使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类biggles.FramedPlot的用法示例。
在下文中一共展示了FramedPlot.xtitle方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_scinv_npts
# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import xtitle [as 别名]
def test_scinv_npts(self, nplot, show=False, reload=False, type="png"):
"""
Test accuracy as a function of the numer of points used in the
integration.
"""
dzl = 0.015
zlmin = 0.02
zlmax = 0.6
from biggles import Points, FramedPlot, PlotKey, Table, Histogram, Curve
from time import time
import lensing
import pcolors
if self.data is None or reload:
self.load_example_data()
# this is old ScinvCalculator, need to make work
# with new one
scalc1000 = ScinvCalculator(self.zs, dzl, zlmin, zlmax, npts=1000)
nptsvals = [100, 200, 300, 400, 500, 600, 700, 800, 900]
numcheck = len(nptsvals)
# colors=['black','magenta','blue','green','orange','red']
colors = pcolors.rainbow(len(nptsvals), "hex")
scalc = []
for npts in nptsvals:
scalc.append(ScinvCalculator(self.zs, dzl, zlmin, zlmax, npts=npts))
times = numpy.zeros(numcheck, dtype="f8")
time1000 = 0.0
# we'll fill this in
scinv_all = numpy.zeros((numcheck, scalc1000.zlvals.size))
xlim = [0, scalc1000.zsvals.max()]
for i in xrange(nplot):
pz = self.data["pofz"][i]
print("Doing 1000...", end="")
tm0 = time()
scinv1000 = scalc1000.calc_mean_scinv(pz)
time1000 += time() - tm0
print("done")
for j in xrange(numcheck):
npts = nptsvals[j]
print("%d " % npts, end="")
tm0 = time()
scinv_all[j, :] = scalc[j].calc_mean_scinv(pz)
times[j] += time() - tm0
print("\nplotting")
# plot the p(z)
tab = Table(3, 1)
binsize = scalc1000.zsvals[1] - scalc1000.zsvals[0]
pzh = Histogram(pz, x0=scalc1000.zsvals[0], binsize=binsize)
plt_pzh = FramedPlot()
plt_pzh.xrange = xlim
plt_pzh.xtitle = r"$z_s$"
plt_pzh.ytitle = r"$P(z_s)$"
plt_pzh.add(pzh)
tab[0, 0] = plt_pzh
# plot scinv for each npts value
plt_scinv = FramedPlot()
plt_scinv.xrange = xlim
scinv_plots = []
for j in xrange(numcheck):
npts = nptsvals[j]
p = Curve(scalc[j].zlvals, scinv_all[j, :], type="solid", color=colors[j])
p.label = "npts: %d" % npts
plt_scinv.add(p)
scinv_plots.append(p)
scinv_key = PlotKey(0.95, 0.9, scinv_plots, halign="right")
plt_scinv.add(scinv_key)
plt_scinv.ylabel = r"$\langle \Sigma_{crit}^{-1}(z_{lens}) \rangle$"
plt_scinv.xlabel = r"$z_{lens}$"
plt_scinv.yrange = [0, 2.1e-4]
tab[1, 0] = plt_scinv
# ratio to 1000 points
plt_rat = FramedPlot()
plt_rat.xrange = xlim
plt_rat.yrange = [1 - 1.0e-2, 1 + 1.0e-2]
#.........这里部分代码省略.........
示例2: test_scinv_dz
# 需要导入模块: from biggles import FramedPlot [as 别名]
# 或者: from biggles.FramedPlot import xtitle [as 别名]
def test_scinv_dz(self, beg, end, yrange=[0, 2.1e-4], show=False, reload=False, type="png"):
"""
Test accuracy of interpolating scinv as a function of dzl, the
lens redshift spacing.
"""
import biggles
from biggles import Points, FramedPlot, PlotKey, Table, Histogram, Curve
from time import time
import lensing
import pcolors
biggles.configure("default", "fontface", "HersheySans")
biggles.configure("default", "fontsize_min", 1.3)
zsmin = self.zs[0]
zsmax = self.zs[-1]
zlmin = 0.00
zlmax = 1.0
# dzl_vals = numpy.linspace(0.001,0.015,10)
dzl_vals = numpy.linspace(0.001, 0.015, 4)
nzl_vals = ((zlmax - zlmin) / dzl_vals).astype("i8")
numcheck = len(dzl_vals)
colors = pcolors.rainbow(numcheck, "hex")
scalc = []
for nzl in nzl_vals:
s = ScinvCalculator(zlmin, zlmax, nzl, zsmin, zsmax, npts=100)
scalc.append(s)
times = numpy.zeros(numcheck, dtype="f8")
# we'll fill this in
# scinv_all = numpy.zeros( (numcheck, scalc[0].zlvals.size) )
xlim = [0, zsmax]
for i in xrange(beg, end):
scinv_all = []
pz = self.data["pofz"][i]
# print(pz)
for j in xrange(numcheck):
dzl = dzl_vals[j]
nzl = nzl_vals[j]
print(" nzl: %s dzl: %g" % (nzl, dzl))
tm0 = time()
# scinv_all[j,:] = scalc[j].calc_mean_scinv(pz)
sc = scalc[j].calc_mean_scinv(self.zs, pz)
# sc=sc.clip(min=0.0)
# print("sc",j,sc)
scinv_all.append(sc)
times[j] += time() - tm0
print("\nplotting")
# plot the p(z)
tab = Table(3, 1)
binsize = self.zs[1] - self.zs[0]
pzh = Histogram(pz, x0=self.zs[0], binsize=binsize)
plt_pzh = FramedPlot()
plt_pzh.xrange = xlim
plt_pzh.xtitle = r"$z_s$"
plt_pzh.ytitle = r"$P(z_s)$"
plt_pzh.add(pzh)
tab[0, 0] = plt_pzh
# plt_pzh.show()
# plot scinv for each dzl
plt_scinv = FramedPlot()
plt_scinv.xrange = xlim
scinv_plots = []
for j in xrange(numcheck):
dzl = dzl_vals[j]
nzl = nzl_vals[j]
p = Curve(scalc[j].zlvals, scinv_all[j], type="solid", color=colors[j])
p.label = r"$nz_{lens}: %s dz_{lens}: %0.3f$" % (nzl, dzl)
plt_scinv.add(p)
scinv_plots.append(p)
scinv_key = PlotKey(0.95, 0.9, scinv_plots, halign="right")
plt_scinv.add(scinv_key)
plt_scinv.ylabel = r"$\Sigma_{crit}^{-1}(z_{lens})$"
plt_scinv.xlabel = r"$z_{lens}$"
plt_scinv.yrange = yrange
# plt_scinv.show()
tab[1, 0] = plt_scinv
# %diff to best dz
plt_pdiff = FramedPlot()
#.........这里部分代码省略.........