3.14 Comparing Arrays and Advanced indexing Arrays: -

-

 Comparing arrays: -

  • A relational operator returns either TRUE or FALSE.
  • Relational operator like >, >=, <, <=, ==, != can be used for comparing two arrays of same size.

            Example: -


                Output: -


Advanced indexing: -

  • Advanced indexing returns a copy of data.
  • It is of two types:

                1. Integer indexing.

                2. Boolean indexing.

 

1) Integer indexing: -

  • Integer indexing in NumPy means accessing elements of an array using integer values that represent their positions (indices) in the array.
  • It allows you to select specific elements from an array based on their index numbers, rather than slicing a continuous range.

            Example: -


            Output: -


2) Boolean indexing: -

  • Boolean indexing in NumPy means selecting elements from an array using True or False values.
  • It allows you to filter elements that satisfy a condition.

            Example: -

            Output: -



v  Broadcasting in array: -

Ø Broadcasting in NumPy means performing arithmetic operations on arrays of different shapes (sizes) without actually copying data.

Ø NumPy automatically “stretches” the smaller array so that both arrays have the same shape for element-wise operations.

Ø Broadcasting Rules: - When operating on two arrays, NumPy compares their shapes from right to left:

1.      If the dimensions are equal, they are compatible.

Example: -


Output: -


2.      If one of them is 1, it can be stretched (broadcast).

Example: -


Output: -


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