#!/usr/bin/env python
# coding: utf-8

# In[6]:


import ipywidgets as widgets
import warnings
warnings.filterwarnings('ignore')
import nilearn
from nilearn import datasets
from nilearn import plotting
get_ipython().run_line_magic('matplotlib', 'inline')


# In[1]:


slider = widgets.FloatSlider(description='$x$', value=4)
text = widgets.FloatText(disabled=True, description='$x^2$')

def compute(*ignore):
    text.value = str(slider.value ** 2)

slider.observe(compute, 'value')

widgets.VBox([slider, text])


# In[12]:


localizer_dataset = datasets.fetch_localizer_button_task()
# Contrast map of motor task
localizer_tmap_filename = localizer_dataset.tmap
# Subject specific anatomical image
localizer_anat_filename = localizer_dataset.anat

v = plotting.view_img(localizer_tmap_filename,
                       bg_img=localizer_anat_filename,
                       cut_coords=(36, -27, 66),
                       threshold=3, title="dim=-.5",
                       dim=-.5)
v


# In[ ]: