Convert numpy ndarray to matlab mlarray in python
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mlarray to ndarray: np.asarray(x._data, dtype=dtype)
but inversely, ndarray to mlarray: matlab.double(x.tolist()), which is extremely slow, is there a more efficient way to do this? Thank u for answering.
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採用された回答
Al Danial
2022 年 4 月 28 日
Looks like you're making the data load unnecessarily complicated. The file actually loads cleanly into a NumPy array:
from scipy.io import loadmat
data = loadmat('data.mat', squeeze_me=True)
x = data['data']
print(x)
produces
array([[0.00000000e+00, 5.90000000e+01, 5.90000000e+01, 2.25296241e+05],
[1.00000000e+00, 6.20000000e+01, 5.81599120e+01, 5.93159561e+04],
[2.00000000e+00, 1.00000000e+02, 9.47518190e+01, 3.22666379e+04],
...,
[2.04500000e+03, 4.00000000e+00, 4.88991300e+00, 3.01840538e+04],
[2.04600000e+03, 2.00000000e+00, 2.26899200e+00, 6.46032757e+04],
[2.04700000e+03, 1.00000000e+00, 1.00000000e+00, 1.18671912e+05]])
Simplify your function load_mat to
def load_mat(pth_mat, key=None):
data = loadmat(pth_mat, squeeze_me=True)
print(data.keys()) if key is None else None
return data[key]
then call it like this
x1 = load_mat('data.mat', 'data')
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その他の回答 (3 件)
Al Danial
2022 年 4 月 21 日
Which version of MATLAB? 2020a and newer (I don't have easy access to older versions) should just be able to do
>> mx = double(x);
without a conversion to a list.
2 件のコメント
Christopher Wunder
2022 年 8 月 23 日
This is not possible for me either.
The function _is_initializer in matlab._internal.mlarray_utils.py checks for the input to be of type collections.abc.Sequence and a numpy.ndarray fails to be of such a type. The only way (without altering the package) is to convert the array beforehand or pass any kind of Sequence to it instead of an array.
Al Danial
2022 年 4 月 24 日
Now I'm curious what is in your variable x. Can you make a small version of this data, write it to a .mat file, then attach the .mat file?
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