字典键和值可分隔numpy数组 [英] Dictionary keys and values to separate numpy arrays

问题描述

我有一个字典

Samples = {5.207403005022627: 0.69973543384229719, 6.8970222167794759: 0.080782939731898179, 7.8338517407140973: 0.10308033284258854, 8.5301143255505334: 0.018640838362318335, 10.418899728838058: 0.14427355015329846, 5.3983946820220501: 0.51319796560976771}

我想将keys和values分成2个numpy数组. 我尝试了np.array(Samples.keys(),dtype=np.float)，但出现了错误TypeError: float() argument must be a string or a number

I want to separate the keys and values into 2 numpy arrays. I tried np.array(Samples.keys(),dtype=np.float) but i get an error TypeError: float() argument must be a string or a number

推荐答案

您可以使用np.fromiter从字典键和值视图直接创建numpy数组:

You can use np.fromiter to directly create numpy arrays from the dictionary key and values views:

在python 3中:

In python 3:

keys = np.fromiter(Samples.keys(), dtype=float)
vals = np.fromiter(Samples.values(), dtype=float)

在python 2中:

In python 2:

keys = np.fromiter(Samples.iterkeys(), dtype=float)
vals = np.fromiter(Samples.itervalues(), dtype=float)

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