[英]Adding key for average values in nested dictionary lists
我有一个日期键字典。 每个日期都有一个项目的key:value对和几天列表。
我想为每个日期键添加一个平均指标,同时删除高于6的离群值。我的代码很接近,但是会产生一些麻烦的结果。
import numpy as np
d = {}
d['1/2/15'] = {'Project 1' : [1,4,7], 'Project 2' : [1,5, 11]}
for key, value in d.iteritems():
avg = np.mean([x for x in d[key]['Project 1'] if x < 6])
d[key][str(value) + ' Average'] = avg
print d
预期产量:
{'Project 1' : [1,4,7], 'Project 1 Average' : 2.5, 'Project 2' : [1,5,7], 'Project 2 Average' : 3.0 }
import numpy as np
d = {}
d['1/2/15'] = {'Project 1' : [1,4,7], 'Project 2' : [1,5, 11]}
for key, value in d.iteritems():
d_avg = {}
for k, v in value.iteritems():
avg = np.mean([x for x in d[key][k] if x < 6])
d_avg[str(k) + ' Average'] = avg
d[key].update(d_avg)
print d
产量
{'1/2/15': {'Project 2 Average': 3.0, 'Project 2': [1, 5, 11], 'Project 1 Average': 2.5, 'Project 1': [1, 4, 7]}}
问题是字典在迭代时无法更新。
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