DPd*_*Pdl 3 python replace list
model_names = ['is1', 'is5', 'is10', 'im1', 'im5', 'im10']
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举个例子,
models = [0.1, 0.2, 0.1, 0.3, 0.2, 0.3]
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列表的最大值为0.3,对应于型号名称'im1'和'im10'.我喜欢这个功能
dominant_model(models)
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回来
['im1', 'im10']
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即,最"主导"的模型.
这是我的代码,它完成了这项工作,但我想知道是否有更短的方法来做同样的事情,而不是所有的条件:
def dominant_model(models):
m = max(models)
dom_models = [i for i,j in enumerate(models) if j==m]
for i in range(len(dom_models)):
if dom_models[i]==0:
dom_models[i]=model_names[0]
elif dom_models[i]==1:
dom_models[i]=model_names[1]
elif dom_models[i]==2:
dom_models[i]=model_names[2]
elif dom_models[i]==3:
dom_models[i]=model_names[3]
elif dom_models[i]==4:
dom_models[i]=model_names[4]
elif dom_models[i]==5:
dom_models[i]=model_names[5]
return dom_models
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找到最大值后m = max(model),将模型名称压缩为值并获取值等于的名称m.
def dominant(names, values):
m = max(values)
return [name for name, value in zip(names, values) if value == m]
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演示
>>> model_names = ['is1', 'is5', 'is10', 'im1', 'im5', 'im10']
>>> model_values = [0.1, 0.2, 0.1, 0.3, 0.2, 0.3]
>>> dominant(model_names, model_values)
['im1', 'im10']
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