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boxplot4.py
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boxplot4.py
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import glob
from pylab import *
# import colors
from palettable.colorbrewer.qualitative import Set2_7
colors = Set2_7.mpl_colors
params = {
'axes.labelsize': 8,
'font.size': 8,
'legend.fontsize': 10,
'xtick.labelsize': 10,
'ytick.labelsize': 10,
'text.usetex': False,
'figure.figsize': [2.5, 4.5]
}
rcParams.update(params)
def load(dir):
f_list = glob.glob(dir + '/*/*/bestfit.dat')
num_lines = sum(1 for line in open(f_list[0]))
i = 0
data = np.zeros((len(f_list), num_lines))
for f in f_list:
data[i, :] = np.loadtxt(f)[:, 1]
i += 1
return data
data_low_mut = load('data/low_mut')
data_high_mut = load('data/high_mut')
low_mut_100 = data_low_mut[:, 100]
high_mut_100 = data_high_mut[:, 100]
fig = figure()
ax = fig.add_subplot(111)
bp = ax.boxplot([low_mut_100, high_mut_100], notch=0, sym='b+', vert=1, whis=1.5,
positions=None, widths=0.6)
for i in range(len(bp['boxes'])):
box = bp['boxes'][i]
box.set_linewidth(0)
boxX = []
boxY = []
for j in range(5):
boxX.append(box.get_xdata()[j])
boxY.append(box.get_ydata()[j])
boxCoords = list(zip(boxX, boxY))
boxPolygon = Polygon(boxCoords, facecolor=colors[i % len(colors)], linewidth=0)
ax.add_patch(boxPolygon)
for i in range(0, len(bp['boxes'])):
bp['boxes'][i].set_color(colors[i])
# we have two whiskers!
bp['whiskers'][i*2].set_color(colors[i])
bp['whiskers'][i*2 + 1].set_color(colors[i])
bp['whiskers'][i*2].set_linewidth(2)
bp['whiskers'][i*2 + 1].set_linewidth(2)
# fliers
bp['fliers'][i].set(markerfacecolor=colors[i],
marker='o', alpha=0.75, markersize=6,
markeredgecolor='none')
bp['medians'][i].set_color('black')
bp['medians'][i].set_linewidth(3)
# and 4 caps to remove
for c in bp['caps']:
c.set_linewidth(0)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
ax.tick_params(axis='x', direction='out')
ax.tick_params(axis='y', length=0)
ax.grid(axis='y', color="0.9", linestyle='-', linewidth=1)
ax.set_axisbelow(True)
ax.set_xticklabels(['low\nmutation', 'high\nmutation'])
fig.subplots_adjust(left=0.2)
savefig('boxplot4.png')