pandas.Series.plot.pie — pandas 2.2.3 documentation (original) (raw)
Series.plot.pie(**kwargs)[source]#
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 andsubplots=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
Generate a pie plot for a Series.
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))
