An array is a data structure used to store elements of the same data type in sequence. And the stored elements are identified by index values. Python has no specific data structure to represent arrays. However, we can use List data structure or Numpy module to handle arrays.
In this article, we have seen various methods of getting the index of the first occurrence of a specified item in an array.
Now let's look at some input and output scenarios.
Suppose we have an input array containing very few elements. In the output, we will get the index of the first occurrence of the specified value.
Input array: [1, 3, 9, 4, 1, 7] specified value = 9 Output: 2
The specified element 9 appears only once in the array, and the resulting index of this value is 2.
Input array: [1, 3, 6, 2, 4, 6] specified value = 6 Output: 2
The given element 6 appears twice in the array, and the index value of the first occurrence is 2.
list.index() method helps you find the index of the first occurrence of a given element in an array. If there is a duplicate element in the list, the first index of that element is returned. The following is the syntax -
list.index(element, start, end)
The first parameter is the element we want to get the index of, the second and third parameters are optional parameters, where to start and end the search for the given element.
The list.index() method returns an integer value which is the index of the given element that we passed to the method.
In the above example, we will use the index() method.
# creating array arr = [1, 3, 6, 2, 4, 6] print ("The original array is: ", arr) print() specified_item = 6 # Get index of the first occurrence of the specified item item_index = arr.index(specified_item) print('The index of the first occurrence of the specified item is:',item_index)
The original array is: [1, 3, 6, 2, 4, 6] The index of the first occurrence of the specified item is: 2
The given value 6 appears twice in the array, but the index() method only returns the index of the first occurrence of the value.
Similarly, we can use for loops and if conditions to get the index of the specified item that appears at the first position of the array.
Here, we will use a for loop to iterate over the array elements.
# creating array arr = [7, 3, 1, 2, 4, 3, 8, 5, 4] print ("The original array is: ", arr) print() specified_item = 4 # Get the index of the first occurrence of the specified item for index in range(len(arr)): if arr[index] == specified_item: print('The index of the first occurrence of the specified item is:',index) break
The original array is: [7, 3, 1, 2, 4, 3, 8, 5, 4] The index of the first occurrence of the specified item is: 4
The given value 4 occurs repeatedly in the array, but the above example only returns the index of the first occurrence of the value.
numpy.where() method is used to filter array elements based on given conditions. By using this method we can get the index of a given element. The following is the syntax -
numpy.where(condition, [x, y, ]/)
In this example, we will use the conditional numpy.where() method.
import numpy as np # creating array arr = np.array([2, 4, 6, 8, 1, 3, 9, 6]) print("Original array: ", arr) specified_index = 6 index = np.where(arr == specified_index) # Get index of the first occurrence of the specified item print('The index of the first occurrence of the specified item is:',index[0][0])
Original array: [2 4 6 8 1 3 9 6] The index of the first occurrence of the specified item is: 2
Condition arr == Specified index Checks the given element in the numpy array and returns an array containing the elements that satisfy the given condition or True. From the resulting array, we can get the index of the first occurrence using index[0][0].
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