How to use numpy.all() or numpy.any()?
<p>I am trying to search in a 2D numpy array for a specific value, the get_above method returns a list of coordinates above the character 'initial char'</p>
<pre><code>def get_above(current, wordsearch):
list_of_current_coords = get_coords_current(current, wordsearch)
#print(list_of_current_coords)
length = len(list_of_current_coords)
first_coords = []
second_coords = []
for x in range(length):
    second = list_of_current_coords[x][1]
    new_first = list_of_current_coords[x][0] - 1
    first_coords.append(new_first)
    second_coords.append(second)
combined = [first_coords, second_coords]
above_coords = []
for y in range(length):
    lst2 = [item[y] for item in combined]
    above_coords.append(lst2)   
return above_coords

def search_above(initial_char, target, matrix):
    above_coords = get_above(initial_char, matrix)
    length = len(above_coords)
    for x in range(length):
        if matrix[above_coords[x]] == target:
            print(above_coords[x])
        else:
            print('not found')
</code></pre>
<p>And I get this error when calling the function:</p>
<blockquote>
<p>ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()</p>
</blockquote>
<p>Any help would be appreciated!</p>