label=plan,
color=color,
hatch=style[2],
yerr=speedup_std,
error_kw=dict(ecolor='black',
lw=2,
capsize=5,
capthick=2))
rects.append(rect)
autolabel(ax, rect)
# rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std,
# color='IndianRed', label='Women')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Speedup')
ax.set_title(label_memory[j])
ax.set_xticks(ind + (0.9 / len(datasets)))
ax.set_xticklabels([better_name(x) for x in datasets])
ax.legend()
fig.set_size_inches(12.5, 5.5)
fig.subplots_adjust(
top=0.9, left=0.1, right=0.9, bottom=0.2
) # create some space below the plots by increasing the bottom-value
plt.savefig("img/lzss_speedup.pdf",
bbox_inches='tight',
transparent="True",
pad_inches=0)
capsize=5,
capthick=2),
label=mode,
color=color,
hatch=style[2])
rects.append(rect)
autolabel(ax, rect)
# rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std,
# color='IndianRed', label='Women')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Tempo(seg.)')
ax.set_title(label_memory[j])
ax.set_xticks([i * width for i, x in enumerate(modes)])
ax.set_xticklabels([better_name(x) for x in modes], rotation='45')
# ax.set_yscale('log')
# ax.legend()
fig.set_size_inches(12.5, 5.5)
fig.subplots_adjust(
top=0.9, left=0.1, right=0.9, bottom=0.2
) # create some space below the plots by increasing the bottom-value
# plt.yscale("log", nonposy="clip")
plt.savefig("img/dedup_speedup_{0}.pdf".format(plan),
bbox_inches='tight',
transparent="True",
pad_inches=0)