Python实现方便使用的级联进度信息实例

本文实例讲述了python/' target='_blank'>python实现方便使用的级联进度信息的方法。分享给大家供大家参考。具体实现方法如下：

class StepedProgress:  '''方便显示进度的级联进度信息。  '''  def __init__(self, stockPercent=[1], parentProgress=None):    self.percent = 0    self.info = ''    self.subProgress = []    self.cur_running_process = 0    self.stockPercent = stockPercent    self.parentProgress = parentProgress    # 重新计算进度比，防止初始化时的值加起来不是1    w = 0.0    for p in self.stockPercent:      w += p    for i in range(0, len(stockPercent)):      stockPercent[i] = stockPercent[i]/w    # 初始化子进度    if len(stockPercent) == 1:      self.subProgress = None    else:      for p in self.stockPercent:        self.subProgress.append(StepedProgress(parentProgress=self))  def subprogress(self, index):    if index >= self.subcount():      return self.subProgress[self.subcount()-1]    elif index < self.cur_running_process:      return self.subProgress[self.cur_running_process]    else:      self.cur_running_process = index      return self.subProgress[index]  def subcount(self):    return len(self.subProgress)  def notifyParentProgress(self, percent, info=None):    new_percent = 0.0    for i in range(0, self.cur_running_process):      new_percent += self.stockPercent[i]    new_percent += percent/100.0 * self.stockPercent[self.cur_running_process]    new_percent *= 100.0    self.notifyProgress(new_percent, info)  def notifyProgress(self, percent, info=None):    if percent > self.percent:      self.percent = percent    if info is not None:      self.info = info    if self.parentProgress is not None:      self.parentProgress.notifyParentProgress(percent, info)    else:      print self.info[:77].ljust(80, '.'), "[%0.1f%%]"%self.percentif __name__ == "__main__":  s = StepedProgress([60, 40])  s.notifyProgress(10, 'aaa')  s1 = s.subprogress(0)  s1.notifyProgress(50, 'bbb')  s3 = s.subprogress(1)  s3 = StepedProgress([1, 1], parentProgress=s3.parentProgress) #级联子进度  s3.notifyProgress(20, 'ddd')  s4 = s3.subprogress(0)  s4.notifyProgress(50, 'eee')  s5 = s3.subprogress(1)  s5.notifyProgress(50, 'fff')

输出结果：

aaa............................................................................. [10.0%]
bbb............................................................................. [30.0%]
ddd............................................................................. [68.0%]
eee............................................................................. [70.0%]
fff............................................................................. [90.0%]

希望本文所述对大家的Python程序设计有所帮助。