def make_plot():
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
from plotting import legends, colors, linewidths, linestyles, alphas, interpolate_values
fsize = 20
mpl.rcParams.update({
# 'font.size': fsize,
'legend.fontsize': 15,
'axes.titlesize': fsize,
# 'axes.labelsize': fsize,
'xtick.labelsize': fsize,
'ytick.labelsize': fsize,
'axes.labelsize': fsize
})
# sns.set_style('ticks') # hm, it actually works here
fig, ax = plt.subplots()
fig.tight_layout()
plt.gcf().subplots_adjust(bottom=0.16, left=0.2, right=0.78, top=0.95)
plots = {}
for meth, vals in timeinfo.items():
if vals.count(None) >= len(vals) - 1:
print ' not enough vals for %s' % meth
continue
interpolate_values(n_query_list, vals)
if meth == 'seed-partition':
nql = n_query_list_seed
else:
nql = n_query_list
print '%30s %s' % ('', ''.join([('%7d' % t) for t in nql]))
print '%30s %s' % (meth, ''.join(
[('%7.0f' % val) if val is not None else ' n ' for val in vals]))
plots[meth] = ax.plot(nql,
vals,
linewidth=linewidths.get(meth, 4),
label=legends.get(meth, meth),
color=colors.get(meth, 'grey'),
linestyle=linestyles.get(meth, 'solid'),
alpha=alphas.get(meth, 1.)) #, markersize=1000)
legend = ax.legend(loc=(.04, .64)) # 'upper left')
sns.despine() #trim=True, bottom=True)
plt.xlabel('sample size')
plt.ylabel('time required')
plt.subplots_adjust(bottom=0.14, left=0.18)
ax.set_xscale('log')
ax.set_yscale('log')
ax.grid(True)
yticks = [1, 60, 3600, 86400, 604800] # seconds
yticklabels = ['1 sec', '1 min', '1 hour', '1 day', '1 week']
plt.yticks(yticks, yticklabels)
plt.savefig(os.getenv('www') + '/partis/clustering/time-required.svg')
sys.exit()
def make_plot():
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
from plotting import legends, colors, linewidths, linestyles, alphas, interpolate_values
fsize = 20
mpl.rcParams.update({
# 'font.size': fsize,
'legend.fontsize': 15,
'axes.titlesize': fsize,
# 'axes.labelsize': fsize,
'xtick.labelsize': fsize,
'ytick.labelsize': fsize,
'axes.labelsize': fsize
})
# sns.set_style('ticks') # hm, it actually works here
fig, ax = plt.subplots()
fig.tight_layout()
plt.gcf().subplots_adjust(bottom=0.16, left=0.2, right=0.78, top=0.95)
plots = {}
for meth, vals in timeinfo.items():
if vals.count(None) >= len(vals) - 1:
print ' not enough vals for %s' % meth
continue
interpolate_values(n_query_list, vals)
if meth == 'seed-partition':
nql = n_query_list_seed
else:
nql = n_query_list
print '%30s %s' % ('', ''.join([('%7d' % t) for t in nql]))
print '%30s %s' % (meth, ''.join([('%7.0f' % val) if val is not None else ' n ' for val in vals]))
plots[meth] = ax.plot(nql, vals, linewidth=linewidths.get(meth, 4), label=legends.get(meth, meth), color=colors.get(meth, 'grey'), linestyle=linestyles.get(meth, 'solid'), alpha=alphas.get(meth, 1.)) #, markersize=1000)
legend = ax.legend(loc=(.04, .64)) # 'upper left')
sns.despine() #trim=True, bottom=True)
plt.xlabel('sample size')
plt.ylabel('time required')
plt.subplots_adjust(bottom=0.14, left=0.18)
ax.set_xscale('log')
ax.set_yscale('log')
ax.grid(True)
yticks = [1, 60, 3600, 86400, 604800] # seconds
yticklabels = ['1 sec', '1 min', '1 hour', '1 day', '1 week']
plt.yticks(yticks, yticklabels)
plt.savefig(os.getenv('www') + '/partis/clustering/time-required.svg')
sys.exit()
plots = {}
for meth, vals in timeinfo.items():
interpolate_values(n_query_list, vals)
linestyle = '-'
alpha = 1.
if 'vollmers' in meth:
alpha = 0.5
if 'vsearch' in meth:
linestyle = '-.'
elif 'naive-hamming-partition' in meth:
linestyle = '--'
elif 'true' in meth:
linestyle = '--'
alpha = 0.5
plots[meth] = ax.plot(n_query_list, vals, linewidth=linewidths.get(meth, 4), label=legends.get(meth, meth), color=colors.get(meth, 'grey'), linestyle=linestyle, alpha=alpha) #, markersize=1000)
legend = ax.legend(loc='upper left')
sns.despine(trim=True, bottom=True)
plt.xlabel('sample size')
plt.ylabel('time required')
plt.subplots_adjust(bottom=0.14, left=0.18)
ax.set_xscale('log')
ax.set_yscale('log')
yticks = [1, 60, 3600, 86400, 604800] # seconds
yticklabels = ['1 sec', '1 min', '1 hour', '1 day', '1 week']
plt.yticks(yticks, yticklabels)
plt.savefig(os.getenv('www') + '/partis/clustering/time-required.svg')
sys.exit()
# ----------------------------------------------------------------------------------------