# pandas.DataFrame.plot.barh

`DataFrame.plot.``barh`(x=None, y=None, **kwargs)

  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 `DataFrame.plot()`.

  Returns: | `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

      >>> 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

      >>> 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

      >>> 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

      >>> 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')

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