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POndim in numpy array loaded with scipy.io.loadmat?
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10542263
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AcceptedAnswerId
10586628
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3
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2012-05-10T21:15:20.023
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2012-06-15T22:26:17.803
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2012-06-15T22:26:17.803
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218118
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1
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2
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3201
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text
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Using SciPy and MATLAB, I'm having trouble reconstructing an array to match what is given from a MATLAB cell array loaded using scipy.io.loadmat(). For example, say I create a cell containing a pair of double arrays in MATLAB and then load it using scipy.io (I'm using SPM to do imaging analyses in conjunction with pynifti and the like) MATLAB <pre><code>>> onsets{1} = [0 30 60 90] >> onsets{2} = [15 45 75 105] </code></pre> Python <pre><code>>>> import scipy.io as scio >>> mat = scio.loadmat('onsets.mat') >>> mat['onsets'][0] array([[[ 0 30 60 90]], [[ 15 45 75 105]]], dtype=object) >>> mat['onsets'][0].shape (2,) </code></pre> My question is this: Why does this numpy array have the shape (2,) instead of (2,1,4)? In real life I'm trying to use Python to parse a logfile and build these onsets cell arrays, so I'd like to be able to build them from scratch. When I try to build the same array from the printed output, I get a different shape back: <pre><code>>>> new_onsets = array([[[ 0, 30, 60, 90]], [[ 15, 45, 75, 105]]], dtype=object) array([[[0, 30, 60, 90]], [[15, 45, 75, 105]]], dtype=object) >>> new_onsets.shape (2,1,4) </code></pre> Unfortunately, the shape (vectors of doubles in a cell array) is coded in a spec upstream, so I need to be able to get this saved exactly in this format. Of course, it's not a big deal since I could just write the parser in MATLAB, but it would be nice to figure out what's going on and add a little to my [minuscule] knowledge of numpy.
Tags
<python><matlab><numpy><scipy><mat-file>
Title
ndim in numpy array loaded with scipy.io.loadmat?
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1. PO
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1. PTQuestion
UserLastEditorUserId
1. USAmro
UserOwnerUserId
1. USErik Kastman
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 POndim in numpy array loaded with scipy.io.loadmat?
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