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Detailed explanation of the solution to the problem that .mat files cannot be read correctly in python
- 高洛峰Original
- 2017-03-09 09:20:082926browse
When importing local .mat data files in python, the correct data cannot always be obtained.
The problem code is as follows:
from numpy import *import scipy.io mnist_train = 'D:\Machine Learning\TensorFlow\Softmax Regression\mnist_dataset\mnist_train.mat'mnist_train_labels = 'D:\Machine Learning\TensorFlow\Softmax Regression\mnist_dataset\mnist_train_labels.mat'x = scipy.io.loadmat(mnist_train) label = scipy.io.loadmat(mnist_train_labels) print(x.shape)
The output result of the above code is (1,1), and the corresponding data should be (60000,784). At this time, if you directly output data, a corresponding line of code should also be added.
'''
[[ {'__version__': '1.0', '__header__': b'MATLAB 5.0 MAT-file, Platform: PCWIN, Created on: Tue Nov 29 12:43:31 2011',
'mnist_train': array([[ 0., 0., 0., ..., 0., 0., 0.],
[ 0., 0., 0., ..., 0., 0., 0.],
[ 0., 0., 0., ..., 0., 0., 0.],
...,
[ 0., 0., 0., ..., 0., 0., 0.],
[ 0., 0., 0., ..., 0., 0., 0.],
[ 0., 0., 0., ..., 0., 0., 0.]], dtype=float32), '__globals__': []}]]
'''
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