本文实例讲述了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：
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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.percent
if __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')
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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。