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Scientific Computing with Python - Second Edition

You're reading from  Scientific Computing with Python - Second Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Pages 392 pages
Edition 2nd Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Preface Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working with Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples About Packt Other Books You May Enjoy References

14.5 Reading and writing Matlab data files

SciPy has the ability to read and write data in Matlab's .mat file format using the module \pyth!scipy.io!. The commands are loadmat and savemat.

To load data, use the following syntax:

import scipy.io
data = scipy.io.loadmat('datafile.mat')

The variable data now contains a dictionary, with keys corresponding to the variable names saved in the .mat file. The variables are in NumPy array format. Saving to .mat files involves creating a dictionary with all the variables you want to save (variable name and value). The command is then savemat:

data = {}
data['x'] = x
data['y'] = y
scipy.io.savemat('datafile.mat',data)

This saves the NumPy arrays, x and yin Matlab's internal file format, thereby preserving variable names.

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