【matplotlib】3.饼状图

饼状图

• plt.pie()

matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=None, radius=None, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False, rotatelabels=False, *, data=None)

1.参数

参数	含义	类型
x	要显示的数据	array-like
labels	扇形对应的标签	list, optional, default: None
explode	如果不是None，则是len（x）数组，该数组指定每个楔形突出多少。	array-like, optional, default: None
autopct	在图上显示数据	None (default), string, or function, optional
shadow	阴影	bool, optional, default: False

2.例子

2.1 例1 普通的饼状图

import matplotlib.pyplot as plt

def test1():
    labels = ['a', 'b', 'c', 'd', 'e']
    x = [20,30,40,50,60]

    plt.pie(x, labels=labels)
    plt.show()

if __name__ == '__main__':
    test1()

2.2 显示每一个扇形的数据

import matplotlib.pyplot as plt

def test1():
    labels = ['a', 'b', 'c', 'd', 'e']
    x = [20,30,40,50,60]

    plt.pie(x, autopct="%0.2f%%", labels=labels)
    plt.show()

if __name__ == '__main__':
    test1()

2.3 突出一部分扇形

import matplotlib.pyplot as plt

def test1():
    labels = ['a', 'b', 'c', 'd', 'e']
    x = [20,30,40,50,60]
    explode = (0.5,0,0,0,0)

    plt.pie(x, autopct="%0.2f%%", labels=labels, explode=explode)
    plt.show()


if __name__ == '__main__':
    test1()

explode对应的数越大，代表突出的那一部分离中心越远。下图是0.5时的情况：

2.4 添加阴影

import matplotlib.pyplot as plt

def test1():
    labels = ['a', 'b', 'c', 'd', 'e']
    x = [20,30,40,50,60]
    explode = (0.5,0,0,0,0)

    plt.pie(x, autopct="%0.2f%%", labels=labels, explode=explode, shadow=True)
    plt.show()

if __name__ == '__main__':
    test1()