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Show stimuli of Haxby et al. dataset¶

In this script we plot an overview of the stimuli used in Haxby et al.[1].

from nilearn._utils.helpers import check_matplotlib

check_matplotlib()

import matplotlib.pyplot as plt

from nilearn import datasets
from nilearn.plotting import show

haxby_dataset = datasets.fetch_haxby(n_subjects=1, fetch_stimuli=True)
stimulus_information = haxby_dataset.stimuli

[wrapper] Dataset directory found: /home/runner/work/nilearn/nilearn/nilearn_data/haxby2001
[wrapper] Downloading data from http://data.pymvpa.org/datasets/haxby2001/stimuli-2010.01.14.tar.gz ...
Downloading stimuli-2010.01.14.tar.gz ━━━━━━━━━━━━ 10.5/10.5   17.3 MB/s 0:00:00
                                                   MB
[wrapper]  ...done. (2 seconds, 0 min)

[wrapper] Extracting data from /home/runner/work/nilearn/nilearn/nilearn_data/haxby2001/ee9e0d5a40146477e9197f0d13da9b32/stimuli-2010.01.14.tar.gz...
[wrapper] .. done.

for stim_type in stimulus_information:
    # skip control images, there are too many
    if stim_type != "controls":
        file_names = stimulus_information[stim_type]

        fig, axes = plt.subplots(6, 8)
        fig.suptitle(stim_type)

        for img_path, ax in zip(file_names, axes.ravel(), strict=False):
            ax.imshow(plt.imread(img_path), cmap="gray")

        for ax in axes.ravel():
            ax.axis("off")

show()