【matplotlib】3.餅狀圖

餅狀圖

• 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)

1.參數

參數	含義	類型
x	要顯示的數據	array-like
labels	扇形對應的標籤	list, optional, default: None
explode	如果不是None，則是len（x）數組，該數組指定每個楔形突出多少。	array-like, optional, default: None
autopct	在圖上顯示數據	None (default), string, or function, optional
shadow	陰影	bool, optional, default: False

2.例子

2.1 例1 普通的餅狀圖

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 顯示每一個扇形的數據

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對應的數越大，代表突出的那一部分離中心越遠。下圖是0.5時的情況：

2.4 添加陰影

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()