Reshaping NumPy Array
- Reshape NumPy Array
- Resize the shape of the given matrix
- Reshape the shape of the given matrix
- Get the Shape of NumPy Array
- Change the dimension of a NumPy array
- Change shape and size of array in-place
- Flatten a Matrix in Python using NumPy
- Flatten a matrix – matrix.ravel()
- Move axes of an array to new positions
- Interchange two axes of an array
- Swap the axes a matrix
- Split an array into multiple sub-arrays vertically
- Split an array into multiple sub-arrays horizontally
- Give a new shape to the masked array without changing its data
- Squeeze the size of a matrix
NumPy Tutorial – Python Library
NumPy is a general-purpose array-processing Python library which provides handy methods/functions for working n-dimensional arrays. NumPy is a short form for “Numerical Python“. It provides various computing tools such as comprehensive mathematical functions, and linear algebra routines.
- NumPy provides both the flexibility of Python and the speed of well-optimized compiled C code.
- Its easy-to-use syntax makes it highly accessible and productive for programmers from any background.
This NumPy tutorial helps you learn the fundamentals of NumPy from Basics to Advanced, like operations on NumPy array, creating and plotting random data sets, and working with NumPy functions.