def ohlc(*args, **kwargs):
    """Draw OHLC bars or candle bars in the current context figure.

    Signature: `ohlc(x, y, **kwargs)` or `ohlc(y, **kwargs)`, depending of the
    length of the list of positional arguments. In the case where the `x` array
    is not provided

    Parameters
    ----------
    x: numpy.ndarray or list, 1d (optional)
        The x-coordinates of the plotted line. When not provided, the function
        defaults to `numpy.arange(len(y))`.
    y: numpy.ndarray or list, 2d
        The ohlc (open/high/low/close) information. A two dimensional array. y
        must have the shape (n, 4).
    options: dict (default: {})
        Options for the scales to be created. If a scale labeled 'x' is
        required for that mark, options['x'] contains optional keyword
        arguments for the constructor of the corresponding scale type.
    axes_options: dict (default: {})
        Options for the axes to be created. If an axis labeled 'x' is required
        for that mark, axes_options['x'] contains optional keyword arguments
        for the constructor of the corresponding axis type.
    """
    if len(args) == 2:
        kwargs['x'] = args[0]
        kwargs['y'] = args[1]
    elif len(args) == 1:
        kwargs['y'] = args[0]
        length = len(args[0])
        kwargs['x'] = arange(length)
    return _draw_mark(OHLC, **kwargs)
Draw OHLC bars or candle bars in the current context figure.

    Signature: `ohlc(x, y, **kwargs)` or `ohlc(y, **kwargs)`, depending of the
    length of the list of positional arguments. In the case where the `x` array
    is not provided

    Parameters
    ----------
    x: numpy.ndarray or list, 1d (optional)
        The x-coordinates of the plotted line. When not provided, the function
        defaults to `numpy.arange(len(y))`.
    y: numpy.ndarray or list, 2d
        The ohlc (open/high/low/close) information. A two dimensional array. y
        must have the shape (n, 4).
    options: dict (default: {})
        Options for the scales to be created. If a scale labeled 'x' is
        required for that mark, options['x'] contains optional keyword
        arguments for the constructor of the corresponding scale type.
    axes_options: dict (default: {})
        Options for the axes to be created. If an axis labeled 'x' is required
        for that mark, axes_options['x'] contains optional keyword arguments
        for the constructor of the corresponding axis type.