def main(fname):
data = data_by_numtyped(fname)
fig,ax1 = plt.subplots() #add figsize?
draw_violin(data, color='royalblue')
## add a light-colored horizontal grid
ax1.yaxis.grid(True, linestyle='-', which='major', color='lightgrey', alpha=0.5)
## Shortest-path line
path = shortestpath.least_sum_path(fname)
plt.plot(range(1,1+len(path)), runtimes_of_path(fname, path), color='r', linestyle="--", linewidth="1")
## plot axis: runtime + num types
ax1.set_axisbelow(True)
ax1.set_title(fname.rsplit("/",1)[-1].rsplit(".")[0])
ax1.set_xlabel("Num. Typed Modules")
ax1.set_ylabel("Runtime (ms)")
plt.xticks(range(1,1+len(data)), range(0, len(data)))
## Legend
# Reset y limit
ymin,ymax = ax1.get_ylim()
ax1.set_ylim(ymin-5, ymax)
plt.figtext(0.80, 0.04, "---", color='r', weight='roman', size='x-small')
plt.figtext(0.82, 0.04, "Least-sum path", color='k', weight='roman', size='x-small')
plt.figtext(0.80, 0.01, '*', color='white', backgroundcolor='royalblue',weight='roman', size='medium')
plt.figtext(0.82, 0.01, ' Average Value', color='black', weight='roman', size='x-small')
## Save & clear
new_name = util.gen_name(fname, "violin", "png")
plt.savefig(new_name)
plt.clf()
print("Saved figure to %s" % new_name)
return
def main(fname):
data = data_by_numtyped(fname)
## Add data
fig, ax1 = plt.subplots() # add figsize?
bp = plt.boxplot(data, notch=0, sym="+", vert=True, whis=1)
plt.setp(bp["boxes"], color="black")
plt.setp(bp["whiskers"], color="black")
plt.setp(bp["fliers"], color="red", marker="+")
## add a light-colored horizontal grid
ax1.yaxis.grid(True, linestyle="-", which="major", color="lightgrey", alpha=0.5)
## Fancier boxes
for i in range(len(data)):
box = bp["boxes"][i]
coords = []
## Color the boxes
for j in range(0, 5):
coords.append((box.get_xdata()[j], box.get_ydata()[j]))
boxPolygon = Polygon(coords, facecolor="royalblue")
ax1.add_patch(boxPolygon)
## Re-draw median lines
med = bp["medians"][i]
mx, my = [], []
for j in range(2):
mx.append(med.get_xdata()[j])
my.append(med.get_ydata()[j])
plt.plot(mx, my, "black")
## Draw avg. dot
plt.plot([np.average(med.get_xdata())], [np.average(data[i])], color="w", marker="*", markeredgecolor="k")
## Shortest-path line
path = shortestpath.least_sum_path(fname)
plt.plot(range(1, 1 + len(path)), runtimes_of_path(fname, path), color="r", linestyle="--", linewidth="1")
## plot axis: runtime + num types
ax1.set_axisbelow(True)
ax1.set_title(fname.rsplit("/", 1)[-1].rsplit(".")[0])
ax1.set_xlabel("Num. Typed Modules")
ax1.set_ylabel("Runtime (ms)")
ax1.set_xticklabels(range(0, len(path)))
## Legend
# Reset y limit
ymin, ymax = ax1.get_ylim()
ax1.set_ylim(ymin - 5, ymax)
plt.figtext(0.80, 0.04, "---", color="r", weight="roman", size="x-small")
plt.figtext(0.82, 0.04, "Least-sum path", color="k", weight="roman", size="x-small")
plt.figtext(0.80, 0.01, "*", color="white", backgroundcolor="royalblue", weight="roman", size="medium")
plt.figtext(0.82, 0.01, " Average Value", color="black", weight="roman", size="x-small")
## Save & clear
new_name = util.gen_name(fname, "boxplot", "png")
plt.savefig(new_name)
plt.clf()
print("Saved figure to %s" % new_name)
return
