EDA Python - 16-4_Numpy_functions

The video tutorial introduces key operations in NUMPY, including selecting array elements using boolean masks, transposing arrays, concatenating arrays both vertically and horizontally, and stacking arrays using V stack and H stack. It also covers using functions like min and mean to analyze arrays, and applying mathematical functions to array elements. These operations are essential for data manipulation and analysis in Python.

What is the purpose of creating a mask when working with arrays?

• To sort the array in ascending order

• To increase the size of the array

• To select specific elements based on a condition

• To change the data type of the array

What happens when you transpose an array?

• Rows and columns are swapped

• The array is reversed

• The array is duplicated

• The array is sorted

How does concatenating arrays with axis=1 affect the arrays?

• It sorts the arrays

• It duplicates the arrays

• It adds new columns

• It adds new rows

Which function would you use to find the smallest number in an entire array?

• sum()

• max()

• mean()

• min()

What does the mean function do when applied to an array?

• Sorts the array

• Finds the minimum value

• Calculates the average value

• Finds the maximum value