Returning the indices of a value in a 2D array

Question

I'm trying to create a system that returns the indices of a value in a 2D array, with values from A1 to J10. I can create the array:

import numpy as np

rows = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J"]
col = list(range(1, 11))
columns = []
for i in col:
columns.append(str(i))

grid = [i + j for i in rows for j in columns] #creates a single list with every cell
org = np.array(grid) #makes an array out of the list object 'grid'
array = np.array_split(org, 10) #splits the array into 10 rows

And I have no problem getting the value of a known index from the array ("D4" in this example)

print(array[3][3])

But I can't do it the other way around, i.e. get the index of a known value. I've tried using index and where, and neither of them behave as I would expect:

print(np.where(array == "D4"))
print(array.index("D4"))

What do I need to change to make either of them work?

Answer 1

An array of arrays, is not exactly the same as a multidimensional array (in numpy).
I suggest to get acquainted with the reshape() function. Then slicing will be a little different (you can use two indices in one bracket, rather than two brackets). But the where function works like a charm.
See sample code, also I am showing an easier way to create your initial data with a single list comprehension.

https://code.sololearn.com/c6tgg1QygeeQ/?ref=app

Great question! :)

Answer 2

Thank you very much for your help!