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

# ## Install hyperspy and ipympl

# In[ ]:


get_ipython().run_line_magic('pip', 'install ipywidgets==8.1.3')
get_ipython().run_line_magic('pip', 'install ipympl hyperspy[gui-jupyter]')


# # Activate interactive matplotlib plotting (`widget` backend from ipympl library)

# In[ ]:


get_ipython().run_line_magic('matplotlib', 'widget')


# ## Try hyperspy

# In[ ]:


import hyperspy.api as hs


# In[ ]:


dir(hs.data)


# In[ ]:


s = hs.data.two_gaussians()


# In[ ]:


s.plot()


# In[ ]:


s


# In[ ]:


m = s.create_model()


# In[ ]:


g1 = hs.model.components1D.GaussianHF()
g2 = hs.model.components1D.GaussianHF()


# In[ ]:


g1.name = "wide"
g2.name = "narrow"


# In[ ]:


m.extend([g1, g2])


# In[ ]:


m.components


# In[ ]:


m.print_current_values()


# In[ ]:


m.axes_manager.indices = (0, 0)


# In[ ]:


m.components.narrow.centre.value = 60
m.components.wide.centre.value = 50


# In[ ]:


m.fit()


# In[ ]:


m.plot()


# In[ ]:


m.multifit()


# In[ ]:


m.plot()


# In[ ]:


m.red_chisq.get_histogram().plot()


# In[ ]:


m.multifit(iterpath="serpentine")


# In[ ]:


m.plot()


# In[ ]: