11.all_boxplot - wwj-2017-1117/graph GitHub Wiki
画箱形图(1)
import numpy as np import matplotlib.pyplot as plt
np.random.seed(100) data = np.random.normal(size=1000, loc=0, scale=1) plt.boxplot(data) plt.show()
画箱形图(2),改变异常点的形状,sym='>'
import numpy as np import matplotlib.pyplot as plt
np.random.seed(100) data = np.random.normal(size=1000, loc=0, scale=1) plt.boxplot(data, sym='>') plt.show()
画箱形图(3),调整异常值的范围 whis = 1.5
import numpy as np import matplotlib.pyplot as plt
np.random.seed(100) data = np.random.normal(size=1000, loc=0, scale=1) plt.boxplot(data, sym='>', whis=0.6) plt.show()
画箱形图(4),同时画出多个箱形图
import numpy as np import matplotlib.pyplot as plt
np.random.seed(100) data = np.random.normal(size=(1000, 4), loc=0, scale=1) labels = ['A', 'B', 'C', 'D'] plt.boxplot(data, labels=labels) plt.show()