# Path: twip/constant.py
# DATA_PATH = os.path.abspath(os.path.join(BASE_PATH, '..', 'data'))


from past.builtins import basestring
from IPython.display import display, HTML 
from decimal import Decimal
from traceback import print_exc
from twip.constant import DATA_PATH
from pug.nlp.util import dict2obj
import matplotlib
import os
import pandas as pd

# coding: utf-8

# In[1]:

from __future__ import division, print_function, absolute_import

get_ipython().magic(u'matplotlib inline')
HTML("<style>.container { width:100% !important; }</style>")




np = pd.np


# In[ ]:




# Let's look at some tweets

# In[2]:


# Path: twip/constant.py
# DATA_PATH = os.path.abspath(os.path.join(BASE_PATH, '..', 'data'))


# Path: docs/notebooks/04 Data -- Natural Language.py
from past.builtins import basestring
from IPython.display import display, HTML 
from decimal import Decimal
from traceback import print_exc
from twip.constant import DATA_PATH
from pug.nlp.util import dict2obj
import matplotlib
import os
import pandas as pd


# coding: utf-8

# In[1]:

from __future__ import division, print_function, absolute_import

get_ipython().magic(u'matplotlib inline')
HTML("<style>.container { width:100% !important; }</style>")




np = pd.np


# In[ ]:




# Let's look at some tweets

# In[2]:


print('Loading previously "cleaned" tweets (could take a minute or so)...')