Course Content
Getting into NumPy Basics
Manipulating and Indexing
Manipulating and indexing NumPy arrays involve altering and retrieving the elements of a NumPy array. NumPy stands as a potent library for handling large, multi-dimensional arrays and matrices of numerical data in Python.
It offers an array of functions and methods for manipulating and indexing arrays, including techniques to extract specific rows, columns, or elements, alter an array's shape, transpose arrays, and convert arrays into a 1D vector.
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- Create a random 4x4 array filled with random integers ranging from 0 to 10.
- Extract the second row.
- Extract the second column.
- Replace the second column of the array with a new column of all ones.
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Manipulating and indexing NumPy arrays involve altering and retrieving the elements of a NumPy array. NumPy stands as a potent library for handling large, multi-dimensional arrays and matrices of numerical data in Python.
It offers an array of functions and methods for manipulating and indexing arrays, including techniques to extract specific rows, columns, or elements, alter an array's shape, transpose arrays, and convert arrays into a 1D vector.
Swipe to show code editor
- Create a random 4x4 array filled with random integers ranging from 0 to 10.
- Extract the second row.
- Extract the second column.
- Replace the second column of the array with a new column of all ones.
Switch to desktop for real-world practiceContinue from where you are using one of the options below