def line(x_fn, y_fn, *, options={}, **interact_params):
    """
    Generates an interactive line chart that allows users to change the
    parameters of the inputs x_fn and y_fn.

    Args:
        x_fn (Array | (*args -> Array str | Array int | Array float)):
            If array, uses array values for x-coordinates.

            If function, must take parameters to interact with and return an
            array of strings or numbers. These will become the x-coordinates
            of the line plot.

        y_fn (Array | (Array, *args -> Array int | Array float)):
            If array, uses array values for y-coordinates.

            If function, must take in the output of x_fn as its first parameter
            and optionally other parameters to interact with. Must return an
            array of numbers. These will become the y-coordinates of the line
            plot.

    Kwargs:
        {options}

        interact_params (dict): Keyword arguments in the same format as
            `ipywidgets.interact`. One argument is required for each argument
            of both `x_fn` and `y_fn`. If `x_fn` and `y_fn` have conflicting
            parameter names, prefix the corresponding kwargs with `x__` and
            `y__`.

    Returns:
        VBox with two children: the interactive controls and the figure.

    >>> line([1, 2, 3], [4, 7, 10])
    VBox(...)

    >>> def x_values(max): return np.arange(0, max)
    >>> def y_values(xs, sd):
    ...     return xs + np.random.normal(len(xs), scale=sd)
    >>> line(x_values, y_values, max=(10, 50), sd=(1, 10))
    VBox(...)
    """
    fig = options.get('_fig', False) or _create_fig(options=options)
    [line] = (_create_marks(fig=fig, marks=[bq.Lines], options=options))
    _add_marks(fig, [line])

    def wrapped(**interact_params):
        x_data = util.maybe_call(x_fn, interact_params, prefix='x')
        line.x = x_data

        y_bound = util.maybe_curry(y_fn, x_data)
        line.y = util.maybe_call(y_bound, interact_params, prefix='y')

    controls = widgets.interactive(wrapped, **interact_params)

    return widgets.VBox([controls, fig])
def line ( x_fn , y_fn , * , options = { } , ** interact_params ) : fig = options . get ( '_fig' , False ) or _create_fig ( options = options ) [ line ] = ( _create_marks ( fig = fig , marks = [ bq . Lines ] , options = options ) ) _add_marks ( fig , [ line ] ) def wrapped ( ** interact_params ) : x_data = util . maybe_call ( x_fn , interact_params , prefix = 'x' ) line . x = x_data y_bound = util . maybe_curry ( y_fn , x_data ) line . y = util . maybe_call ( y_bound , interact_params , prefix = 'y' ) controls = widgets . interactive ( wrapped , ** interact_params ) return widgets . VBox ( [ controls , fig ] )
Generates an interactive line chart that allows users to change the
    parameters of the inputs x_fn and y_fn.

    Args:
        x_fn (Array | (*args -> Array str | Array int | Array float)):
            If array, uses array values for x-coordinates.

            If function, must take parameters to interact with and return an
            array of strings or numbers. These will become the x-coordinates
            of the line plot.

        y_fn (Array | (Array, *args -> Array int | Array float)):
            If array, uses array values for y-coordinates.

            If function, must take in the output of x_fn as its first parameter
            and optionally other parameters to interact with. Must return an
            array of numbers. These will become the y-coordinates of the line
            plot.

    Kwargs:
        {options}

        interact_params (dict): Keyword arguments in the same format as
            `ipywidgets.interact`. One argument is required for each argument
            of both `x_fn` and `y_fn`. If `x_fn` and `y_fn` have conflicting
            parameter names, prefix the corresponding kwargs with `x__` and
            `y__`.

    Returns:
        VBox with two children: the interactive controls and the figure.

    >>> line([1, 2, 3], [4, 7, 10])
    VBox(...)

    >>> def x_values(max): return np.arange(0, max)
    >>> def y_values(xs, sd):
    ...     return xs + np.random.normal(len(xs), scale=sd)
    >>> line(x_values, y_values, max=(10, 50), sd=(1, 10))
    VBox(...)