Python Filter Function Explained with Real Examples / Learn Filter Function Using Lambda Expressions
This program demonstrates how to use NumPy along with a lambda expression and the filter function to extract specific elements from an array. First, a one-dimensional NumPy array of 30 random integers between 10 and 99 is generated, and its dimension is checked using the ndim attribute, confirming that it is a 1D array. The main logic focuses on filtering even numbers from this array. A lambda function is used to define a simple condition that checks whether each element is divisible by 2. The filter function applies this condition to every element in the array and retains only those that satisfy it. Since filter returns an iterable, it is converted into a list and then back into a NumPy array for consistency. The resulting array contains only even numbers, and its dimension remains one-dimensional. Overall, this example highlights the use of lambda expressions for concise function definition and demonstrates how filtering can be performed on numerical data, although in NumPy, vectorized operations are generally more efficient for such tasks.
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