text: 
  import matplotlib
  import matplotlib.pyplot as plt
  import numpy as np
  from matplotlib import rc
  rc('font',**{'family':'serif'})
  rc('text', usetex=True)
  rc('text.latex',unicode=True)
  rc('text.latex',preamble=r'\usepackage[T2A]{fontenc}')
  rc('text.latex',preamble=r'\usepackage[utf8]{inputenc}')
  rc('text.latex',preamble=r'\usepackage[russian]{babel}')
  import pylab
  import sys
  import os
  from multiplypoints import *
  def cm2inch(*tupl):
      inch = 2.54
      if isinstance(tupl[0], tuple):
          return tuple(i/inch for i in tupl[0])
      else:
          return tuple(i/inch for i in tupl)
  
  
  
  inputfilename = "D:/results/logreg-zero_all_but_CMNF/LogisticModelZero_sample_0_0.txt"
  
  t, x, err_umf, err_ut = np.loadtxt(inputfilename, delimiter = ' ', usecols=(0,1,3,4), unpack=True, dtype=float)
  t, err_umf, err_ut = multx(t), multy(err_umf), multy(err_ut)
  from pylab import *
  
  f = plt.figure(num=None, figsize=cm2inch((12,9)), dpi=200)
  plt.subplots_adjust(left=0.06, bottom=0.07, right=0.98, top=0.95, wspace=0.1)
  ax1 = plt.subplot(111)
  
  ls_x = (0, ()) #solid
  
  alpha_UT = 0.4
  params_UT = {
              'color' : 'black', 
              'alpha' : alpha_UT,
              'linewidth' : 4.0,
              }
  alpha_UMF = 0.7
  params_UMF = {
              'color' : 'black', 
              'alpha' : alpha_UMF,
              'linewidth' : 2.5,
               }
  ax1.plot(t, err_umf, **params_UMF, linestyle=ls_x, label='$\hat{x}_t-x_t$ УМНФ')
  ax1.plot(t, err_ut, **params_UT, linestyle=ls_x, label='$\hat{x}_t-x_t$ CT-фильтр')
  
  ax1.set_ylim(-1000.0, 500.0)
  #ax1.legend()
  plt.tight_layout()
  
  #float commas
  rc('text.latex',preamble=r'\usepackage{icomma}')
  import matplotlib as mpl
  import locale
  locale.setlocale(locale.LC_ALL, "rus_RUS")
  ax1.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter(useLocale=True, useMathText=True))
  ax1.yaxis.set_major_formatter(mpl.ticker.ScalarFormatter(useLocale=True, useMathText=True))
  
  plt.show()
  
  
  
  