Dictionary keys and values to separate numpy arrays

Question

I have a dictionary as

Samples = {5.207403005022627: 0.69973543384229719, 6.8970222167794759: 0.080782939731898179, 7.8338517407140973: 0.10308033284258854, 8.53         


        

Answer 1

Just assign all of the values to a list, and then convert to a np.array().

import numpy as np

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}

keys = np.array(Samples.keys())
vals = np.array(Samples.values())

Or, if you want to iterate over it:

import numpy as np

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}

keys = vals = []

for k, v in Samples.items():
    keys.append(k)
    vals.append(v)

keys = np.array(keys)
vals = np.array(vals)