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plot_history.py
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# python3 -m venv .
# source ./bin/activate
# python3 plot_history.py
# pip3 install matplotlib
import matplotlib.pyplot as plt
# pip3 install pyyaml
import yaml
from packaging import version
with open("history.yml", "r") as stream:
try:
y = yaml.safe_load(stream)
except yaml.YAMLError as exc:
print(exc)
fig, axs = plt.subplots(4, figsize=(10, 18))
versions = []
modes = []
for h in y:
versions.append(h['name'])
modes += h['modes'].keys()
modes = sorted(set(modes))
# print(modes)
plt.rcParams['image.cmap']='jet'
axs[0].grid(c='0.9')
axs[0].set_axisbelow(True)
axs[0].set_title('Run time, s (lower better)', fontstyle='italic')
axs[1].grid(c='0.9')
axs[1].set_axisbelow(True)
axs[1].set_title('Cold compile time, s (lower better)', fontstyle='italic')
axs[2].grid(c='0.9')
axs[2].set_axisbelow(True)
axs[2].set_title('Incremental compile time, s (lower better)', fontstyle='italic')
axs[3].grid(c='0.9')
axs[3].set_axisbelow(True)
axs[3].set_title('Coefficient: run time percentage of release time, 0..1 (higher better)', fontstyle='italic')
for mode in modes:
keys = []
times = []
comp_time = []
comp_time2 = []
cf = []
for h in y:
version = h['name']
mode_h = h['modes']
if mode in mode_h:
keys.append(version)
times.append(mode_h[mode]['time'])
comp_time.append(mode_h[mode]['compile1'])
comp_time2.append(mode_h[mode]['compile2'])
cf.append(mode_h[mode]['cf'])
axs[0].plot(keys, times)
axs[0].scatter(keys, times, label=mode, s=100, marker='D')
axs[1].plot(keys, comp_time)
axs[1].scatter(keys, comp_time, label=mode, s=100, marker='D')
axs[2].plot(keys, comp_time2)
axs[2].scatter(keys, comp_time2, label=mode, s=100, marker='D')
if "release" not in mode:
axs[3].plot(keys, cf)
axs[3].scatter(keys, cf, label=mode, s=100, marker='D')
plt.grid(color='0.95')
axs[0].legend(loc='center left')
axs[1].legend(loc='center left')
axs[2].legend(loc='center left')
axs[3].legend(loc='center left')
plt.savefig('releases.png')