title: How to use numpy.all() or numpy.any()?
body: <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>