b4b7dede2af7bff8cdc6bf18760ea8283eb7281b,examples/connectivity/plot_rest_clustering.py,,,#,23
Before Change
fmri_compressed = ward.inverse_transform(fmri_reduced)
compressed_img = nifti_masker.inverse_transform(fmri_compressed[0])
display = plot_epi(compressed_img, cut_coords=first_plot.cut_coords,
title="Compressed representation (2000 parcels)",
display_mode="xz")
display.show()
After Change
fmri_compressed = ward.inverse_transform(fmri_reduced)
compressed_img = nifti_masker.inverse_transform(fmri_compressed[0])
plot_epi(compressed_img, cut_coords=first_plot.cut_coords,
title="Compressed representation (2000 parcels)",
display_mode="xz")
show()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: nilearn/nilearn
Commit Name: b4b7dede2af7bff8cdc6bf18760ea8283eb7281b
Time: 2015-07-21
Author: abraham.alexandre@gmail.com
File Name: examples/connectivity/plot_rest_clustering.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: b4b7dede2af7bff8cdc6bf18760ea8283eb7281b
Time: 2015-07-21
Author: abraham.alexandre@gmail.com
File Name: examples/manipulating_visualizing/plot_demo_plotting.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: b4b7dede2af7bff8cdc6bf18760ea8283eb7281b
Time: 2015-07-21
Author: abraham.alexandre@gmail.com
File Name: examples/manipulating_visualizing/plot_smooth_mean_image.py
Class Name:
Method Name: