#----------------------------------------------------------------------------- # Copyright (c) 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()