.. _sphx_glr_auto_examples_plot_align.py: ============================= Aligning matrices to a common space ============================= In this example, we plot the trajectory of multivariate brain activity for two groups of subjects that have been hyperaligned (Haxby et al, 2011). First, we use the align tool to project all subjects in the list to a common space. Then we average the data into two groups, and plot. .. image:: /auto_examples/images/sphx_glr_plot_align_001.png :align: center .. code-block:: python # Code source: Andrew Heusser # License: MIT # import import hypertools as hyp import numpy as np # load example data data = hyp.load('weights').get_data() data = hyp.align(data, align='hyper') # average into two groups group1 = np.mean(data[:17], 0) group2 = np.mean(data[18:], 0) # plot hyp.plot([group1[:100, :], group2[:100, :]]) **Total running time of the script:** ( 0 minutes 0.432 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: plot_align.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_align.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_