list - Python RuntimeError: maximum recursion depth exceeded in cmp -

i have complex data structure i'm trying process.

explanation of data structure: have dictionary of classes. key name. value class reference. class contains 2 lists of dictionaries.

here's simple example of data structure:

import scipy.stats  class employee_salaries(object):     def __init__(self,management, players, disparity):         self.management = management         self.players = players         self.disparity = disparity  # coach's salary 12 1st year , 11 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) 

let's wanted determine disparity between point guard's salary , owner's salary on these 2 years.

for key, value in nba.iteritems():     x1=[]; x2=[]     num = len(nba[key].players)     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 

keep in mind not real data. in actual data structure, there on 150 keys. , there more elements in list of dictionaries. when run code above on real data, runtime error.

runtimeerror: maximum recursion depth exceeded in cmp error.

how can change code above doesn't give me maximum recursion depth error? want type of comparison , able save value.

it's bug.

fixed in 0.15.0

you're passing in empty arrays, , function handles incorrectly. either update scipy, or skip if arrays empty (though check data isn't wrong , makes sense have empty array there).

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some suggestions code.

for team in nba.itervalues(): #or `for name, team in nba.iteritems()` if use name.     x1, x2 = [], []     # not `x1 = x2 = []`, since 2 names 1 list      player, manager in izip(team.players, team.management):         x1.append(player['point guard'])         x2.append(manager['owner'])     # or lose `for` loop , say:     # `x1 = [player['point guard'] player in team.players]`     # `x2 = [manager['owner'] manager in team.management]`     # (this can more efficient.)      tau, p_value = scipy.stats.kendalltau(x1, x2)      team.disparity = tau  print nba['cavs'].disparity