# 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
import pandas_profiling

# coding: utf-8

# In[1]:

from __future__ import division, print_function, absolute_import

get_ipython().magic(u'matplotlib inline')



# you really want to be efficient about RAM, so user iter and itertools
# from itertools import izip

np = pd.np


# In[2]:

display(HTML("<style>.container { width:100% !important; }</style>"))
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 500)


# In[3]:


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


# Path: docs/notebooks/02 Data -- Exploration.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
import pandas_profiling


# coding: utf-8

# In[1]:

from __future__ import division, print_function, absolute_import

get_ipython().magic(u'matplotlib inline')



# you really want to be efficient about RAM, so user iter and itertools
# from itertools import izip

np = pd.np


# In[2]:

display(HTML("<style>.container { width:100% !important; }</style>"))
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 500)


# In[3]:


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