fat*_*dur 6 python sorting dictionary
我的问题是另一个问题的扩展,其中OP有一个字典,下面的字典,并希望根据子字典键对主键进行排序
myDict = {
'SER12346': {'serial_num': 'SER12346', 'site_location': 'North America'},
'ABC12345': {'serial_num': 'ABC12345', 'site_location': 'South America'},
'SER12345': {'serial_num': 'SER12345', 'site_location': 'North America'},
'SER12347': {'serial_num': 'SER12347', 'site_location': 'South America'},
'ABC12346': {'serial_num': 'ABC12346', 'site_location': 'Europe'}
}
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建议的(下面引用的)解决方案非常有效.
dicts = myDict.items()
dicts.sort(key=lambda (k,d): (d['site_location'], d['serial_num'],))
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但是,此解决方案按所有顺序按升序排序(按降序排序很简单).我想知道是否可以定义排序顺序的混合,比如serial_num升序但是site_location按降序排列?
这是一种解决方案,之所以可行,是因为列表排序是稳定的。我稍微更改了数据以证明它有效。
Python 文档中也规定了该方法。
myDict = {
'SER12346': {'serial_num': 'SER12346', 'site_location': 'North America'},
'ABC12346': {'serial_num': 'ABC12345', 'site_location': 'Europe'},
'ABC12345': {'serial_num': 'ABC12345', 'site_location': 'South America'},
'SER12345': {'serial_num': 'SER12345', 'site_location': 'North America'},
'SER12347': {'serial_num': 'SER12347', 'site_location': 'South America'}
}
result = sorted(myDict.items(), key=lambda x: x[1]['site_location'], reverse=True)
result = sorted(result, key=lambda x: x[1]['serial_num'])
# [('ABC12345', {'serial_num': 'ABC12345', 'site_location': 'South America'}),
# ('ABC12346', {'serial_num': 'ABC12345', 'site_location': 'Europe'}),
# ('SER12345', {'serial_num': 'SER12345', 'site_location': 'North America'}),
# ('SER12346', {'serial_num': 'SER12346', 'site_location': 'North America'}),
# ('SER12347', {'serial_num': 'SER12347', 'site_location': 'South America'})]
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