本文整理汇总了Python中history.History.com_traces方法的典型用法代码示例。如果您正苦于以下问题：Python History.com_traces方法的具体用法？Python History.com_traces怎么用？Python History.com_traces使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类history.History的用法示例。
在下文中一共展示了History.com_traces方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Simulation
# 需要导入模块: from history import History [as 别名]
# 或者: from history.History import com_traces [as 别名]
#.........这里部分代码省略.........
m.save(filename)
print 'export_motion OK:', filename
def load(self, filename):
self.name = self.name.replace('_naive', '')
with open(filename, 'r') as fp:
self.plan = pickle.load(fp)
self.tip_controller = model.controller.Controller(self.skel,
self.prob,
self.plan)
self.tip_controller.pd.set_pd_params(self.name)
targets = pickle.load(fp)
self.tip_controller.targets = targets
def save_motion(self, filename):
protocol = pickle.HIGHEST_PROTOCOL
# protocol = 0
with open(filename, 'w+') as fp:
pickle.dump(self.history, fp, protocol)
print 'save #', len(self.history), 'frames'
def load_motion(self, filename):
with open(filename, 'r') as fp:
self.history = pickle.load(fp)
print 'load #', len(self.history), 'frames'
def plot_com(self):
# mycolors = ['r', 'b', 'g', 'k', 'c']
traces = []
colors = []
styles = []
traces += self.history.com_traces()
n = len(traces)
# colors += mycolors[:n]
colors += ['r'] * n
styles += ['-'] * n
if hasattr(self, 'plan') and self.plan is not None:
traces += self.plan.com_traces()
m = len(traces) - n
# colors += mycolors[:n]
colors += ['b'] * m
styles += ['-'] * m
# Ploting with matplotlib
plt.ioff()
fig = plt.figure()
fig.set_size_inches(18.5, 10.5)
pp = []
for trace, c, ls in zip(traces, colors, styles):
(x, y, text) = trace
print 'plot'
print 'x:', x
print 'y:', y
p = plt.plot(x, y, ls=ls, color=c, linewidth=2)
pp.append(p[0])
# plt.title('Compare %d Trials on %s' % (num_trials, prob_name),
name = self.name.replace('_', ' ')
name = name.replace('Lean', '')
t = plt.title('%s' % name,
fontdict={'size': 40})
t.set_y(0.92)
font = {'size': 36}
plt.xlabel('X', fontdict=font)
plt.ylabel('Y', fontdict=font)