#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
''' The four data series that comprise `Anscombe's Quartet`_.

License: `CC BY-SA 3.0`_

Sourced from: https://en.wikipedia.org/wiki/Anscombe%27s_quartet

This module contains one pandas Dataframe: ``data``.

.. rubric:: ``data``

:bokeh-dataframe:`bokeh.sampledata.anscombe.data`

.. bokeh-sampledata-xref:: anscombe

.. _Anscombe's Quartet: https://en.wikipedia.org/wiki/Anscombe%27s_quartet
'''

#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import annotations

import logging # isort:skip
log = logging.getLogger(__name__)

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

# Standard library imports
from io import StringIO
from typing import TYPE_CHECKING

if TYPE_CHECKING:
    import pandas as pd

#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------

__all__ = (
    'data',
)

CSV = """
  Ix,    Iy,     IIx,    IIy,   IIIx,   IIIy,   IVx,     IVy
10.0,   8.04,   10.0,   9.14,   10.0,   7.46,   8.0,    6.58
 8.0,   6.95,    8.0,   8.14,    8.0,   6.77,   8.0,    5.76
13.0,   7.58,   13.0,   8.74,   13.0,  12.74,   8.0,    7.71
 9.0,   8.81,    9.0,   8.77,    9.0,   7.11,   8.0,    8.84
11.0,   8.33,   11.0,   9.26,   11.0,   7.81,   8.0,    8.47
14.0,   9.96,   14.0,   8.10,   14.0,   8.84,   8.0,    7.04
 6.0,   7.24,    6.0,   6.13,    6.0,   6.08,   8.0,    5.25
 4.0,   4.26,    4.0,   3.10,    4.0,   5.39,  19.0,   12.50
12.0,  10.84,   12.0,   9.13,   12.0,   8.15,   8.0,    5.56
 7.0,   4.82,    7.0,   7.26,    7.0,   6.42,   8.0,    7.91
 5.0,   5.68,    5.0,   4.74,    5.0,   5.73,   8.0,    6.89
"""

#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------

def _read_data() -> pd.DataFrame:
    '''

    '''
    import pandas as pd
    return pd.read_csv(StringIO(CSV), skiprows=1, skipinitialspace=True, engine='python')

#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------

data = _read_data()