1.直方图
代码
import matplotlib.pyplot as plt
import numpy as np
mu = 100
sigma = 20
x = mu + sigma * np.random.randn(20)
plt.hist(x, bins=10, color='green', density=True)
print(x)
plt.show()
2.条形图
import matplotlib.pyplot as plt
import numpy as np
plt.figure(figsize=(6, 4))
y = [10, 20, 8.45, 22, 3, 2, 12]
x = np.arange(7)
plt.bar(x, y, color="blue", width=0.5)
plt.show()
复杂的条形图
import matplotlib.pyplot as plt
import numpy as np
plt.figure(figsize=(6, 4))
x = np.arange(20) + 1
y1 = np.random.randint(10, 30, 20)
y2 = np.random.randint(10, 30, 20)
plt.ylim(0, 70)
plt.bar(x, y1, color="green", width=0.5, label="$y1$")
plt.bar(x, y2, bottom=y1, color="blue", width=0.5, label="$y2$")
plt.legend() # 添加括号
plt.show()
3.饼状图
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams['font.family']='SimHei'
matplotlib.rcParams['font.sans-serif']='SimHei'
labels=["一季度","二季度","三季度","四季度"]
data=[16,27,25,29]
explodes=[0,0.1,0.1,0]
plt.axes(aspect=1)
plt.pie(x=data,labels=labels,explode=explodes,autopct="%.lf%%",shadow=True)
plt.show()