#Jon's Matplotlib Settings
# Here are some matplotlib style settings that I (JSW) find useful for publication-quality plots

# First, we set the width of a figure to be exactly the width of a single column in PRL or PRD (in
# inches), and set the aspect ratio to be 4:3.
rc('figure', figsize=(3.375, 3.375*(.75)), titlesize=10)

# This line sets the resolution (number of dots per inch) for saving figures to raster formats like
# PNG.  It's mainly useful to set the size of the figures displayed in the webbrowser in the Jupyter
# or IPython notebook
rc('savefig', dpi=180)

# The default for scatter plots is to put three points in each legend entry.  Usually one is
# sufficient.
rc('legend', scatterpoints=1, fontsize=10, frameon=False)

# We would like the text to be created using TeX, so we get full support for LaTeX math syntax.
rc('text', usetex=True)
rc('text.latex', unicode=True)

# We want all the text to be Computer Modern, and 10pt.  This way, combined with the correct setting
# of the size of the figure, the text in the figure will exactly match the text in the rest of the
# manuscript.
rc('font', size=10, family='serif', weight='normal', serif=['Computer Modern Roman'])
rc('axes', labelsize=10, titlesize=10, labelweight='normal')
rc('xtick', labelsize=10)
rc('ytick', labelsize=10)


# Jorge's Default Matplotlib Settings
matplotlib.rc('figure', figsize=(6, 5*(4/6)), dpi=500)
matplotlib.rc('font', size=10)
matplotlib.rc('legend', scatterpoints=1)

#Preferred Color Values
colors=['#af1b1b','#c51e1e','#db2222',#red
        '#db7e22','#db7e22','#db7e22',#orange
        '#c5c51e','#dbdb22','#e0e036',#yellow
        '#72c51e','#8be036','#a5e762',#green
        '#1b65af','#227edb','#4c98e3']#blue
subcolors= ['#e98a72','#ec9b86','#f2bcae',
            '#ecce86', '#efd69a','#f2deae',
            '#ffc293','#ffd0ac','#ffdfc6',
            '#91c588','#b1d5aa','#c1debb',
            '#6672b4','#8891c5','#aab1d5']
width=4
nn=0