draw_2D_shad_cont(ncfile, values, varn)
  ncfile= [ncfilevars],[ncfilevarc] files to use (one value, same file)
  values=[vnamefs]:[dimvals]:[dimvalc]:[dimxvn]:[dimyvn]:[dimxyfmt]:[colorbarvals]:[ckind]:[clabfmt]:[sminv],[smaxv]:[sminc],[smaxv],[Nlev]:[figt]:[kindfig]:[reverse]:[mapv]:[close]
    [vnamefs],[vnamefc]: Name in the figure of the shaded and the contour variables
    [dimvals/c]: list of [dimname]|[value] telling at which dimension of the
      variable a given value is required (no dimension name, all the length)
    [dimx/yvn]: names of the variables with the values of the dimensions for the plot
    [dimxyfmt]=[dxf],[Ndx],[dyf],[Ndy]: format of the values at each axis
      [dxs]: style of x-axis ('auto' for 'pretty')
        'Nfix', values computed at even 'Ndx'
        'Vfix', values computed at even 'Ndx' increments
        'pretty', values computed following aprox. 'Ndx' at 'pretty' intervals (2.,2.5,4,5,10)
      [dxf]: format of the labels at the x-axis
      [Ndx]: Number of ticks at the x-axis
      [ordx]: angle of orientation of ticks at the x-axis ('auto' for horizontal)
      [dys]: style of y-axis ('auto' for 'pretty')
      [dyf]: format of the labels at the y-axis
      [Ndy]: Number of ticks at the y-axis
      [ordy]: angle of orientation of ticks at the y-axis ('auto' for horizontal)
    [colorbarvals]=[colbarn],[fmtcolorbar],[orientation]
      [colorbarn]: name of the color bar
      [fmtcolorbar]: format of the numbers in the color bar 'C'-like ('auto' for %6g)
      [orientation]: orientation of the colorbar ('vertical' (default, by 'auto'), 'horizontal')
    [ckind]: kind of contours
      'cmap': as it gets from colorbar
      'fixc,[colname]': fixed color [colname], all stright lines
      'fixsigc,[colname]': fixed color [colname], >0 stright, <0 dashed line
    [clabfmt]: format of the labels in the contour (None, also possible)
    [smin/axv]: minimum and maximum value for the shading or
      'Srange': for full range
      'Saroundmean@val': for mean-xtrm,mean+xtrm where xtrm = np.min(mean-min@val,max@val-mean)
      'Saroundminmax@val': for min*val,max*val
      'Saroundpercentile@val': for median-xtrm,median+xtrm where xtrm = np.min(median-percentile_(val),
        percentile_(100-val)-median)
      'Smean@val': for -xtrm,xtrm where xtrm = np.min(mean-min*@val,max*@val-mean)
      'Smedian@val': for -xtrm,xtrm where xtrm = np.min(median-min@val,max@val-median)
      'Spercentile@val': for -xtrm,xtrm where xtrm = np.min(median-percentile_(val),
        percentile_(100-val)-median)
    [sminc]:[smaxv]:[Nlev]: minimum, maximum and number of values for the contour
    [figt]: title of the figure ('|' for spaces)
    [kindfig]: kind of figure
    [reverse]: does the values be transposed? 'True/False',
    [mapv]: map characteristics: [proj],[res]
      see full documentation: http://matplotlib.org/basemap/
      [proj]: projection
        * 'cyl', cilindric
        * 'lcc', lamvbert conformal
      [res]: resolution:
        * 'c', crude
        * 'l', low
        * 'i', intermediate
        * 'h', high
        * 'f', full
    [close]: Whether figure should be finished or not
  varn= [varsn],[varcn] name of the variable to plot with shading variable with contour