我正在尝试处理一个复杂的数据结构。
数据结构的说明:我有一个类的字典。关键是名字。该值是一个类引用。该类包含两个字典列表。
这是我的数据结构的一个简单示例:
import scipy.stats
class employee_salaries(object):
def __init__(self,management, players, disparity):
self.management = management
self.players = players
self.disparity = disparity
# the coach's salary was 12 his 1st year and 11 his 2nd year
mgmt1 = [{'Coach':12, 'Owner':15, 'Team Manager': 13}, {'Coach':11, 'Owner':14, 'Team Manager':15}]
plyrs1 = [{'Point Guard': 14, 'Power Forward':16,},{'Point Guard':16, 'Power Forward':18}]
NBA = {}
mgmt2 = [{'Coach':10, 'Owner':12}, {'Coach':13,'Owner':15}]
plyrs2 = [{'Point Guard':17, 'Power Forward':14}, {'Point Guard': 22, 'Power Forward':16}]
NBA['cavs'] = employee_salaries(mgmt1,plyrs1,0)
NBA['celtics'] = employee_salaries(mgmt2,plyrs2,0)
假设我想确定这两年控卫的薪水与所有者的薪水之间的差异。
for key, value in NBA.iteritems():
x1=[]; x2=[]
num = len(NBA[key].players)
for i in range(0,num):
x1.append(NBA[key].players[i]['Point Guard'])
x2.append(NBA[key].management[i]['Owner'])
tau, p_value = scipy.stats.kendalltau(x1, x2)
NBA[key].disparity = tau
print NBA['cavs'].disparity
请记住,这不是我的真实数据。在我的实际数据结构中,有150多个键。词典列表中还有更多元素。当我在真实数据上运行上面的代码时,出现运行时错误。
RuntimeError:超出最大递归深度的cmp错误。
我如何更改上面的代码,以免给我最大的递归深度错误?我想进行这种类型的比较并能够保存值。
最佳答案
It's a bug.
Fixed in 0.15.0
您传入的是空数组,该函数对它的处理不正确。更新您的Scipy,或者如果数组为空则跳过(尽管请检查您的数据是否正确,并且在那里有一个空数组是有意义的)。
您的代码的一些建议。
for team in NBA.itervalues():
#Or `for name, team in NBA.iteritems()` if you use the name.
x1, x2 = [], []
# Not `x1 = x2 = []`, since that would be two names for one list
for player, manager in izip(team.players, team.management):
x1.append(player['Point Guard'])
x2.append(manager['Owner'])
# Or lose the `for` loop and say:
# `x1 = [player['Point Guard'] for player in team.players]`
# `x2 = [manager['Owner'] for manager in team.management]`
# (This can be more efficient.)
tau, p_value = scipy.stats.kendalltau(x1, x2)
team.disparity = tau
print NBA['cavs'].disparity
关于python - Python RuntimeError:超出最大递归深度的cmp,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/30841262/