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Module « scipy.io »

Fonction whosmat - module scipy.io

Signature de la fonction whosmat

def whosmat(file_name, appendmat=True, **kwargs) 

Description

help(scipy.io.whosmat)

List variables inside a MATLAB file.

Parameters
----------
file_name : str
   Name of the mat file (do not need .mat extension if
   appendmat==True) Can also pass open file-like object.
appendmat : bool, optional
   True to append the .mat extension to the end of the given
   filename, if not already present. Default is True.
byte_order : str or None, optional
   None by default, implying byte order guessed from mat
   file. Otherwise can be one of ('native', '=', 'little', '<',
   'BIG', '>').
mat_dtype : bool, optional
   If True, return arrays in same dtype as would be loaded into
   MATLAB (instead of the dtype with which they are saved).
squeeze_me : bool, optional
   Whether to squeeze unit matrix dimensions or not.
chars_as_strings : bool, optional
   Whether to convert char arrays to string arrays.
matlab_compatible : bool, optional
   Returns matrices as would be loaded by MATLAB (implies
   squeeze_me=False, chars_as_strings=False, mat_dtype=True,
   struct_as_record=True).
struct_as_record : bool, optional
   Whether to load MATLAB structs as NumPy record arrays, or as
   old-style NumPy arrays with dtype=object. Setting this flag to
   False replicates the behavior of SciPy version 0.7.x (returning
   numpy object arrays). The default setting is True, because it
   allows easier round-trip load and save of MATLAB files.

Returns
-------
variables : list of tuples
    A list of tuples, where each tuple holds the matrix name (a string),
    its shape (tuple of ints), and its data class (a string).
    Possible data classes are: int8, uint8, int16, uint16, int32, uint32,
    int64, uint64, single, double, cell, struct, object, char, sparse,
    function, opaque, logical, unknown.

Notes
-----
v4 (Level 1.0), v6 and v7 to 7.2 matfiles are supported.

You will need an HDF5 python library to read matlab 7.3 format mat
files (e.g. h5py). Because SciPy does not supply one, we do not implement the
HDF5 / 7.3 interface here.

.. versionadded:: 0.12.0

Examples
--------
>>> from io import BytesIO
>>> import numpy as np
>>> from scipy.io import savemat, whosmat

Create some arrays, and use `savemat` to write them to a ``BytesIO``
instance.

>>> a = np.array([[10, 20, 30], [11, 21, 31]], dtype=np.int32)
>>> b = np.geomspace(1, 10, 5)
>>> f = BytesIO()
>>> savemat(f, {'a': a, 'b': b})

Use `whosmat` to inspect ``f``.  Each tuple in the output list gives
the name, shape and data type of the array in ``f``.

>>> whosmat(f)
[('a', (2, 3), 'int32'), ('b', (1, 5), 'double')]

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