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

# # Default widgets for modules
# 
# Define an `_ipython_display_` function that takes no arguments to show a default display for the module.
# 
# ![image](https://user-images.githubusercontent.com/4236275/45131612-bca6fa00-b15b-11e8-9b0b-76c80d4cbce5.png)
# 

# In[35]:


get_ipython().run_line_magic('reload_ext', 'deathbeds.__Custom_display_formatting')
from deathbeds.__Custom_display_formatting import Row, Column
from pandas import *
from poser import *
import os


# In this example we'll explore the [Flowers datasets on Kaggle](https://www.kaggle.com/alxmamaev/flowers-recognition/version/2#).

# In[36]:


flowers = λ.Path('data/flowers/').Path.glob('*').map(λ.Path.glob('*')).concat().list().pandas.Series()()
flowers = flowers.apply(str).str.lstrip('data'+os.sep).str.split(os.sep, expand=True).set_index(flowers).rename(columns={
    0:'label', 1: 'type', 2: 'file'})


# In[37]:


from IPython.display import display


# In[38]:


def _ipython_display_():
    from ipywidgets import interact
    @interact
    def _(type=list(flowers.type.unique()), rows=3, columns=4):
        display(Column([Row([str(x) for x in flowers[flowers.type.eq(type)].sample(columns).index])
                        for row in range(rows)])) 


# In[39]:


__import__(__name__)


# In[ ]:





# In[ ]: