Skip to main content

Load MATLAB .mat 7.3 into Python native data types

Project description

Python package pypi Version

mat 7.3

Load MATLAB 7.3 .mat files into Python.

Starting with MATLAB 7.3, .mat files have been changed to store as custom hdf5 files. This means they cannot be loaded by scipy.io.loadmat any longer and raise.

NotImplementedError: Please use HDF reader for matlab v7.3 files

Quickstart

This library loads MATLAB 7.3 HDF5 files into a Python dictionary.

import mat73
data_dict = mat73.loadmat('data.mat')

As easy as that!

By enabling use_attrdict=True you can even access sub-entries of structs as attributes, just like in MATLAB:

data_dict = mat73.loadmat('data.mat', use_attrdict=True) 
struct = data_dict['structure'] # assuming a structure was saved in the .mat
struct[0].var1 == struct[0]['var1'] # it's the same!

You can also specifiy to only load a specific variable or variable tree, useful to reduce loading times

data_dict = mat73.loadmat('data.mat', only_include='structure') 
struct = data_dict['structure'] # now only structure is loaded and nothing else

data_dict = mat73.loadmat('data.mat', only_include=['var/subvar/subsubvar', 'tree1/']) 
tree1 = data_dict['tree1'] # the entire tree has been loaded, so tree1 is a dict with all subvars of tree1
subsubvar = data_dict['var']['subvar']['subsubvar'] # this subvar has been loaded

Installation

To install, run:

pip install mat73

Alternatively for most recent version:

pip install git+https://github.com/skjerns/mat7.3

Datatypes

The following MATLAB datatypes can be loaded

MATLAB Python
logical np.bool_
single np.float32
double np.float64
int8/16/32/64 np.int8/16/32/64
uint8/16/32/64 np.uint8/16/32/64
complex np.complex128
char str
struct list of dicts
cell list of lists
canonical empty []
missing None
Other (ie Datetime, ...) Not supported

Short-comings

  • This library will only load mat 7.3 files. For older versions use scipy.io.loadmat
  • Proprietary MATLAB types (e.g datetime, duriation, etc) are not supported. If someone tells me how to convert them, I'll implement that
  • For now, you can't save anything back to the .mat. It's a bit more difficult than expected, so it's not on the roadmap for now
  • See also hdf5storage, which can indeed be used for saving .mat, but has less features for loading

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mat73-0.58.tar.gz (18.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mat73-0.58-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file mat73-0.58.tar.gz.

File metadata

  • Download URL: mat73-0.58.tar.gz
  • Upload date:
  • Size: 18.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for mat73-0.58.tar.gz
Algorithm Hash digest
SHA256 b98c59a6439f6f3d22825455b4215a56eeb3a6b416d50115e4bda52c13ea2161
MD5 c08f41e6aca3a0a4b4d1c9512c991a3e
BLAKE2b-256 fe58f094c61bf98e700025241a92d52783503e50f7eee5030d6d0f6894ce23aa

See more details on using hashes here.

File details

Details for the file mat73-0.58-py3-none-any.whl.

File metadata

  • Download URL: mat73-0.58-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for mat73-0.58-py3-none-any.whl
Algorithm Hash digest
SHA256 6e93bccbc6cfc177561e5554d01fc11de8acd25ce2e1335ac215bab8adf6ba86
MD5 68ad769677b0727195ddc418ec7cb790
BLAKE2b-256 b1a2a3d947539e477c55d035b9ddb6ab7d57b073b967cafe86519edd0dc8593c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page