Dictionary keys and values to separate numpy arrays

arrays, dictionary, numpy, python

Solution

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

In python 3:

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

In python 2:

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

Problem

I have a dictionary as ``` 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} ``` 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`

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