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Hands-On Data Analysis with NumPy and pandas
book

Hands-On Data Analysis with NumPy and pandas

by Curtis Miller
June 2018
Beginner to intermediate content levelBeginner to intermediate
168 pages
3h 40m
English
Packt Publishing
Content preview from Hands-On Data Analysis with NumPy and pandas

Linear algebra

Be aware that NumPy is built to support linear algebra. A 1D NumPy array may correspond to a linear algebra vector; a 2D array to a matrix; and 3D, 4D, or all ndarray to tensors. So, when appropriate, NumPy supports linear algebra operations, such as matrix products, transposition, matrix inversion, and so on, for arrays. Most NumPy linear algebra functionality is supported in the linalg module. The following is a list of commonly used NumPy linear algebra functions:

Some of these are ndarray methods, others are in the linalg module you need to import. So we've actually been demonstrating transpose up to this point in earlier ...

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Publisher Resources

ISBN: 9781789530797Supplemental Content