#! /usr/bin/env python

"""Name of dataset."""

__docformat__ = 'restructuredtext'

COPYRIGHT   = """E.g., This is public domain."""
TITLE       = """Title of the dataset"""
SOURCE      = """
This section should provide a link to the original dataset if possible and
attribution and correspondance information for the dataset's original author
if so desired.
"""

DESCRSHORT  = """A short description."""

DESCRLONG   = """A longer description of the dataset."""

#suggested notes
NOTE        = """
Number of observations:
Number of variables:
Variable name definitions:

Any other useful information that does not fit into the above categories.
"""

import numpy as np
from statsmodels.tools import datautils as du
from os.path import dirname, abspath

def load():
    """
    Load the data and return a Dataset class instance.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    ##### SET THE INDICES #####
    #NOTE: None for exog_idx is the complement of endog_idx
    return du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)

def load_pandas():
    data = _get_data()
    ##### SET THE INDICES #####
    #NOTE: None for exog_idx is the complement of endog_idx
    return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None,
                                      dtype=float)

def _get_data():
    filepath = dirname(abspath(__file__))
    ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
    data = np.recfromtxt(open(filepath + '/DatasetName.csv', 'rb'),
            delimiter=",", names = True, dtype=float)
    return data
