Plots the data in `x` on the X axis and the data in `y` on the Y axis
    in a 2d visualization, and shows the resulting visualization.
    Uses the following heuristic to choose the visualization:

    * If `x` and `y` are both numeric (SArray of int or float), and they contain
      fewer than or equal to 5,000 values, show a scatter plot.
    * If `x` and `y` are both numeric (SArray of int or float), and they contain
      more than 5,000 values, show a heat map.
    * If `x` is numeric and `y` is an SArray of string, show a box and whisker
      plot for the distribution of numeric values for each categorical (string)
      value.
    * If `x` and `y` are both SArrays of string, show a categorical heat map.

    This show method supports SArrays of dtypes: int, float, str.

    Notes
    -----
    - The plot will render either inline in a Jupyter Notebook, or in a
      native GUI window, depending on the value provided in
      `turicreate.visualization.set_target` (defaults to 'auto').

    Parameters
    ----------
    x : SArray
      The data to plot on the X axis of a 2d visualization.
    y : SArray
      The data to plot on the Y axis of a 2d visualization. Must be the same
      length as `x`.
    xlabel : str (optional)
      The text label for the X axis. Defaults to "X".
    ylabel : str (optional)
      The text label for the Y axis. Defaults to "Y".
    title : str (optional)
      The title of the plot. Defaults to LABEL_DEFAULT. If the value is
      LABEL_DEFAULT, the title will be "<xlabel> vs. <ylabel>". If the value
      is None, the title will be omitted. Otherwise, the string passed in as the
      title will be used as the plot title.

    Examples
    --------
    Show a categorical heat map of pets and their feelings.

    >>> x = turicreate.SArray(['dog', 'cat', 'dog', 'dog', 'cat'])
    >>> y = turicreate.SArray(['happy', 'grumpy', 'grumpy', 'happy', 'grumpy'])
    >>> turicreate.show(x, y)


    Show a scatter plot of the function y = 2x, for x from 0 through 9, labeling
    the axes and plot title with custom strings.

    >>> x = turicreate.SArray(range(10))
    >>> y = x * 2
    >>> turicreate.show(x, y,
    ...                 xlabel="Custom X label",
    ...                 ylabel="Custom Y label",
    ...                 title="Custom title")

def show(x, y, xlabel=LABEL_DEFAULT, ylabel=LABEL_DEFAULT, title=LABEL_DEFAULT):
    """
    Plots the data in `x` on the X axis and the data in `y` on the Y axis
    in a 2d visualization, and shows the resulting visualization.
    Uses the following heuristic to choose the visualization:

    * If `x` and `y` are both numeric (SArray of int or float), and they contain
      fewer than or equal to 5,000 values, show a scatter plot.
    * If `x` and `y` are both numeric (SArray of int or float), and they contain
      more than 5,000 values, show a heat map.
    * If `x` is numeric and `y` is an SArray of string, show a box and whisker
      plot for the distribution of numeric values for each categorical (string)
      value.
    * If `x` and `y` are both SArrays of string, show a categorical heat map.

    This show method supports SArrays of dtypes: int, float, str.

    Notes
    -----
    - The plot will render either inline in a Jupyter Notebook, or in a
      native GUI window, depending on the value provided in
      `turicreate.visualization.set_target` (defaults to 'auto').

    Parameters
    ----------
    x : SArray
      The data to plot on the X axis of a 2d visualization.
    y : SArray
      The data to plot on the Y axis of a 2d visualization. Must be the same
      length as `x`.
    xlabel : str (optional)
      The text label for the X axis. Defaults to "X".
    ylabel : str (optional)
      The text label for the Y axis. Defaults to "Y".
    title : str (optional)
      The title of the plot. Defaults to LABEL_DEFAULT. If the value is
      LABEL_DEFAULT, the title will be "<xlabel> vs. <ylabel>". If the value
      is None, the title will be omitted. Otherwise, the string passed in as the
      title will be used as the plot title.

    Examples
    --------
    Show a categorical heat map of pets and their feelings.

    >>> x = turicreate.SArray(['dog', 'cat', 'dog', 'dog', 'cat'])
    >>> y = turicreate.SArray(['happy', 'grumpy', 'grumpy', 'happy', 'grumpy'])
    >>> turicreate.show(x, y)


    Show a scatter plot of the function y = 2x, for x from 0 through 9, labeling
    the axes and plot title with custom strings.

    >>> x = turicreate.SArray(range(10))
    >>> y = x * 2
    >>> turicreate.show(x, y,
    ...                 xlabel="Custom X label",
    ...                 ylabel="Custom Y label",
    ...                 title="Custom title")

    """
    plot(x, y, xlabel, ylabel, title).show()