{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2eb1d9436c884d54b6cbb0ec183f9fa2",
"version_major": 2,
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"VBox(children=(FloatSlider(value=4.0, description='$x$'), FloatText(value=0.0, description='$x^2$', disabled=T…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import ipywidgets as widgets\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"import nilearn\n",
"from nilearn import datasets\n",
"from nilearn import plotting\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/Ralf/anaconda3/lib/python3.7/site-packages/sklearn/externals/joblib/__init__.py:15: DeprecationWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.\n",
" warnings.warn(msg, category=DeprecationWarning)\n"
]
}
],
"source": [
"slider = widgets.FloatSlider(description='$x$', value=4)\n",
"text = widgets.FloatText(disabled=True, description='$x^2$')\n",
"\n",
"def compute(*ignore):\n",
" text.value = str(slider.value ** 2)\n",
"\n",
"slider.observe(compute, 'value')\n",
"\n",
"widgets.VBox([slider, text])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/Ralf/anaconda3/lib/python3.7/site-packages/numpy/lib/type_check.py:546: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead\n",
" 'a.item() instead', DeprecationWarning, stacklevel=1)\n"
]
},
{
"data": {
"text/html": [
""
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""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"localizer_dataset = datasets.fetch_localizer_button_task()\n",
"# Contrast map of motor task\n",
"localizer_tmap_filename = localizer_dataset.tmap\n",
"# Subject specific anatomical image\n",
"localizer_anat_filename = localizer_dataset.anat\n",
"\n",
"v = plotting.view_img(localizer_tmap_filename,\n",
" bg_img=localizer_anat_filename,\n",
" cut_coords=(36, -27, 66),\n",
" threshold=3, title=\"dim=-.5\",\n",
" dim=-.5)\n",
"v"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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