I have a numpy
array:
import numpy as np
a = np.array([2, 56, 4, 8, 564])
and I want to add two elements: one at the beginning of the array, 88
, and one at the end, 77
.
I can do this with:
a = np.insert(np.append(a, [77]), 0, 88)
so that a
ends up looking like:
array([ 88, 2, 56, 4, 8, 564, 77])
The question: what is the correct way of doing this? I feel like nesting a np.append
in a np.insert
is quite likely not the pythonic way to do this.
You can add a NumPy array element by using the append() method of the NumPy module. The values will be appended at the end of the array and a new ndarray will be returned with new and old values as shown above. The axis is an optional integer along which define how the array is going to be displayed.
If you are using array module, you can use the concatenation using the + operator, append(), insert(), and extend() functions to add elements to the array. If you are using NumPy arrays, use the append() and insert() function.
The array_push() function inserts one or more elements to the end of an array.
Another way to do that would be to use numpy.concatenate
. Example -
np.concatenate([[88],a,[77]])
Demo -
In [62]: a = np.array([2, 56, 4, 8, 564])
In [64]: np.concatenate([[88],a,[77]])
Out[64]: array([ 88, 2, 56, 4, 8, 564, 77])
You can use np.concatenate
-
np.concatenate(([88],a,[77]))
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