Merging some array into single array/list in python

Question

How to covert this array (different dimensions numpy),

l= (array([0.08]), array([[ 0.56, -0.01, 0.46]), array([[ 0.60], [0.07], [0.03]]), array([[0., 0., 0., 0.]]), array([[0.]]))

into a 1D array,

l= array([0.08, 0.56, -0.01, 0.60, 0.07, 0.03, 0., 0., 0., 0., 0.])

Numpy has a few related stacking functions. You can read about them in the docs — PM 2Ring
– PM 2Ring, Commented May 2, 2018 at 10:16

jpp · Accepted Answer · 2018-05-02 16:44:02Z

1

One way is to use numpy.hstack with ravel to flatten the various dimensions.

import numpy as np

l = (np.array([0.08]), np.array([ 0.56, -0.01, 0.46]),
     np.array([[ 0.60], [0.07], [0.03]]), np.array([[0., 0., 0., 0.]]),
     np.array([[0.]]))

res = np.hstack(i.ravel() for i in l)

array([ 0.08,  0.56, -0.01,  0.46,  0.6 ,  0.07,  0.03,  0.  ,  0.  ,
        0.  ,  0.  ,  0.  ])

Or if you want a functional approach:

from operator import methodcaller

res = np.hstack(list(map(methodcaller('ravel'), l)))

edited May 2, 2018 at 16:44

answered May 2, 2018 at 13:44

jpp

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