def barh(self, x=None, y=None, **kwds):
return self(kind='<STR_LIT>', x=x, y=y, **kwds)<EOL>
Make a horizontal bar plot.

A horizontal bar plot is a plot that presents quantitative data with
rectangular bars with lengths proportional to the values that they
represent. A bar plot shows comparisons among discrete categories. One
axis of the plot shows the specific categories being compared, and the
other axis represents a measured value.

Parameters
----------
x : label or position, default DataFrame.index
    Column to be used for categories.
y : label or position, default All numeric columns in dataframe
    Columns to be plotted from the DataFrame.
**kwds
    Keyword arguments to pass on to :meth:`DataFrame.plot`.

Returns
-------
:class:`matplotlib.axes.Axes` or numpy.ndarray of them

See Also
--------
DataFrame.plot.bar: Vertical bar plot.
DataFrame.plot : Make plots of DataFrame using matplotlib.
matplotlib.axes.Axes.bar : Plot a vertical bar plot using matplotlib.

Examples
--------
Basic example

.. plot::
    :context: close-figs

    >>> df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]})
    >>> ax = df.plot.barh(x='lab', y='val')

Plot a whole DataFrame to a horizontal bar plot

.. plot::
    :context: close-figs

    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
    >>> index = ['snail', 'pig', 'elephant',
    ...          'rabbit', 'giraffe', 'coyote', 'horse']
    >>> df = pd.DataFrame({'speed': speed,
    ...                    'lifespan': lifespan}, index=index)
    >>> ax = df.plot.barh()

Plot a column of the DataFrame to a horizontal bar plot

.. plot::
    :context: close-figs

    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
    >>> index = ['snail', 'pig', 'elephant',
    ...          'rabbit', 'giraffe', 'coyote', 'horse']
    >>> df = pd.DataFrame({'speed': speed,
    ...                    'lifespan': lifespan}, index=index)
    >>> ax = df.plot.barh(y='speed')

Plot DataFrame versus the desired column

.. plot::
    :context: close-figs

    >>> speed = [0.1, 17.5, 40, 48, 52, 69, 88]
    >>> lifespan = [2, 8, 70, 1.5, 25, 12, 28]
    >>> index = ['snail', 'pig', 'elephant',
    ...          'rabbit', 'giraffe', 'coyote', 'horse']
    >>> df = pd.DataFrame({'speed': speed,
    ...                    'lifespan': lifespan}, index=index)
    >>> ax = df.plot.barh(x='lifespan')