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Loading .mat files

In this exercise, you'll figure out how to load a MATLAB file using scipy.io.loadmat() and you'll discover what Python datatype it yields.

The file 'albeck_gene_expression.mat' is in your working directory. This file contains gene expression data from the Albeck Lab at UC Davis.

This is a part of the course

“Introduction to Importing Data in Python”

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Exercise instructions

  • Import the package scipy.io.
  • Load the file 'albeck_gene_expression.mat' into the variable mat; do so using the function scipy.io.loadmat().
  • Use the function type() to print the datatype of mat to the shell.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import package


# Load MATLAB file: mat


# Print the datatype type of mat
print(____)

This exercise is part of the course

Introduction to Importing Data in Python

BeginnerSkill Level
4.7+
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Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

You've learned how to import flat files, but there are many other file types you will potentially have to work with as a data scientist. In this chapter, you'll learn how to import data into Python from a wide array of important file types. These include pickled files, Excel spreadsheets, SAS and Stata files, HDF5 files, a file type for storing large quantities of numerical data, and MATLAB files.

Exercise 1: Introduction to other file typesExercise 2: Not so flat any moreExercise 3: Loading a pickled fileExercise 4: Listing sheets in Excel filesExercise 5: Importing sheets from Excel filesExercise 6: Customizing your spreadsheet importExercise 7: Importing SAS/Stata files using pandasExercise 8: How to import SAS7BDATExercise 9: Importing SAS filesExercise 10: Using read_stata to import Stata filesExercise 11: Importing Stata filesExercise 12: Importing HDF5 filesExercise 13: Using File to import HDF5 filesExercise 14: Using h5py to import HDF5 filesExercise 15: Extracting data from your HDF5 fileExercise 16: Importing MATLAB filesExercise 17: Loading .mat files
Exercise 18: The structure of .mat in Python

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