Accessing Array Elements
Accessing elements in an array is done using indexing.
In NumPy, you can retrieve any element by specifying its index number. It's
important to note that indexing in NumPy starts at 0. This means the first
element has an index of 0, the second element has an index of 1, and so
on.
Program:
Output:
1
Program:
Output:
2
Program:
Output:
7
Accessing 2-D Array Elements
To access elements in a 2-D array, you can use a pair of
comma-separated integers inside the square brackets. The first integer
represents the row index, and the second represents the column
index.
You can think of a 2-D array as a table with rows and columns. The
first number specifies the row, and the second number specifies the
column.
Program:
Output:
2nd element in 1st row: 2
Program:
Output:
5th element in 2nd row: 10
Accessing 3-D Array Elements
To access elements in a 3-D array, you use comma-separated integers
inside square brackets. Each number represents a specific dimension and
index.
Program:
Output:
6
Explanation
arr[0, 1, 2] returns the value 6.
The first index 0 selects the first block:
The first index 0 selects the first block:
[[1, 2, 3],
[4, 5, 6]]
The second index 1 selects the second array inside this block:
[4, 5, 6]
The third index 2 selects the third element in this array, which is
6.
Negative Indexing
You can also use negative indexing to access elements from the end of
an array.
Program:
Output:
10
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