pandas.DataFrame.plot.pie
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DataFrame.plot.pie(y=None, **kwds)
[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: y : int or label, optional
Label or position of the column to plot. If not provided,
subplots=True
argument must be passed.**kwds
Keyword arguments to pass on to
pandas.DataFrame.plot()
.Returns: axes : matplotlib.axes.Axes or np.ndarray of them.
A NumPy array is returned when
subplots
is True.See also
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Series.plot.pie
- Generate a pie plot for a Series.
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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 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=(6, 3))
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.plot.pie.html