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# pandas.DataFrame.plot.pie

DataFrame.plot.pie(**kwargs)

  Generate a pie plot.

  A pie plot is a proportional representation of the numerical data in a column. This function wraps `matplotlib.pyplot.pie()` for the specified column. If no column reference is passed and `subplots=True` a pie plot is drawn for each numerical column independently.

  Parameters:
    yint or label, optional

      Label or position of the column to plot. If not provided, `subplots=True` argument must be passed.

    **kwargs

      Keyword arguments to pass on to `DataFrame.plot()`.

  Returns:
    matplotlib.axes.Axes or np.ndarray of them

      A NumPy array is returned when subplots is True.

  See also

  `Series.plot.pie`

    Generate a pie plot for a Series.

  `DataFrame.plot`

    Make plots of a DataFrame.

  Examples

  In the example below we have a DataFrame with the information about planet’s mass and radius. We pass the ‘mass’ column to the pie function to get a pie plot.

      >>> df = pd.DataFrame({'mass': [0.330, 4.87 , 5.97],
      ...                    'radius': [2439.7, 6051.8, 6378.1]},
      ...                   index=['Mercury', 'Venus', 'Earth'])
      >>> plot = df.plot.pie(y='mass', figsize=(5, 5))

      >>> plot = df.plot.pie(subplots=True, figsize=(11, 6))