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import glob
from pylab import *
import brewer2mpl
import numpy as np
import sys
import math
import gzip
import matplotlib.gridspec as gridspec
from collections import defaultdict
from matplotlib import pyplot as plt
# brewer2mpl.get_map args: set name set type number of colors
bmap = brewer2mpl.get_map('Set2', 'qualitative', 7)
colors = bmap.mpl_colors
params = {
'axes.labelsize': 8,
'legend.fontsize': 10,
'xtick.labelsize': 10,
'ytick.labelsize': 10,
'text.usetex': False,
'figure.figsize': [6, 8]
}
rcParams.update(params)
def customize_axis(ax):
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.tick_params(axis='y', length=0)
#ax.get_yaxis().tick_left()
# offset the spines
for spine in ax.spines.values():
spine.set_position(('outward', 5))
# put the grid behind
ax.set_axisbelow(True)
ax.grid(axis='y', color="0.9", linestyle='--', linewidth=1)
fig = figure(frameon=False) # no frame
#plt.box(False)
#plt.ticklabel_format(axis='both', style='sci', scilimits=(-2,2))
ax1 = fig.add_subplot(311)
k = 0
for i in sys.argv[1:]:
data = np.loadtxt(i)
ax1.plot(data[:,0], data[:, 1], '-', linewidth=2, color=colors[k], label=i)
k += 1
ax1.set_title('Coverage')
customize_axis(ax1)
ax2 = fig.add_subplot(312)
k = 0
for i in sys.argv[1:]:
data = np.loadtxt(i)
ax2.plot(data[:,0], data[:, 3], '-', linewidth=2, color=colors[k], label=i)
k += 1
ax2.set_title('Mean fitness')
customize_axis(ax2)
ax3 = fig.add_subplot(313)
ax3.grid(axis='y', color="0.9", linestyle='--', linewidth=1)
k = 0
for i in sys.argv[1:]:
data = np.loadtxt(i)
ax3.plot(data[:,0], data[:, 2], '-', linewidth=2, color=colors[k], label=i)
k += 1
ax3.set_title('Max fitness')
customize_axis(ax3)
legend = ax1.legend(loc=4)#bbox_to_anchor=(0., 1.02, 1., .102), loc=3, ncol=(3))
frame = legend.get_frame()
frame.set_facecolor('0.9')
frame.set_edgecolor('1.0')
fig.tight_layout()
fig.savefig('progress.pdf')
fig.savefig('progress.svg')
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