I try to insert np.nan values into an array at the nth position. Desired output:
array(['1', 'nan', 'nan', '2', test', '3'])
I tried with this code:
position = [1,2]
array= np.array([1,2,'test', 3])
array= np.insert(array, position, np.nan)
But it is inserting the values at index 1 and 3:
array(['1', 'nan', '2', 'nan', 'test', '3'])
How can I fix this?
Inserting would take place altogether for both np.nan
. So, if you use [1,2]
then index 1 would be between 1
and 2
, and index 2 would be between 2
and 'test'
.
The position needs to be [1,1]
if you want to insert continuous values.
import numpy as np
position = [1,1]
array = np.array([1,2,'test', 3])
array = np.insert(array, position, np.nan)
print(array)
Output:
['1' 'nan' 'nan' '2' 'test' '3']