{ "cells": [ { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2eb1d9436c884d54b6cbb0ec183f9fa2", "version_major": 2, "version_minor": 0 }, "text/plain": [ "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": [ "" ], "text/plain": [ "" ] }, "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" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }