I am trying to iterate over the items of a numpy array using a for loop. Is there a way to keep track of the index of the current item of the iteration (other than initializing a counter before the loop and increment it inside the loop)?
myArray = [4 5 6 7]
for item in myArray:
print(index of item)
What I would like to get is (keeping in mind that this is a numpy array, not a list)
0
1
2
3
you can iterate like this:
import numpy as np
a = np.array([6,5,7,0,1,3,4])
for index in range(a.shape[0]): # use range with nparray.shape[0] to get the size
print(index) # you can do a[index] to get the value
this outputs :
0
1
2
3
4
5
6
The right way to do this is to use enumerate:
myArray = [4, 5, 6, 7]
for i,item in enumerate(myArray):
print(i)
for index, row in df.iterrows(): and was looking to do the same thing for an array.