I have two numpy array's a and b of length 53 and 82 respectively. I would like to merge them into a single array because I want to use the 53+82=135 length array say call it c for plotting.
I tried
c = a+b
but I am getting ValueError: shape mismatch: objects cannot be broadcast to a single shape
Is this possible?
You need to use numpy.concatenate instead of array addition
c = numpy.concatenate((a, b))
Implementation
import numpy as np
a = np.arange(53)
b = np.arange(82)
c = np.concatenate((a, b))
Output
c.shape
(135, )
Use numpy.concatenate:
In [5]: import numpy as np
In [6]: a = np.arange(5)
In [7]: b = np.arange(11)
In [8]: np.concatenate((a, b))
Out[8]: array([ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
For 1-D arrays you can also use numpy.hstack:
In [9]: np.hstack((a, b))
Out[9]: array([ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
0.00764538, 0.00871098, 0.00959187, 0.01028805, 0.00884634 for one array and 0.17873864, 0.1273831 , 0.07530486, 0.08724997, 0.07698863, 0.04452086, 0.04699075, 0.06169301, 0.08862764, 0.12403291, 0.26097335, 0.49944897, 0.4297591 , 0.37918886 for the second array...