from matplotlib import pyplot as pltx = range(2, 26, 2)
y = [15, 13, 14.5, 17, 20, 25, 26, 26, 27, 22, 18, 15]# 设置图片大小
plt.figure(figsize=(20, 8), dpi=180)
# 绘制图形，plot折线图
plt.plot(x, y)
# 保存图形
plt.savefig("14.png")
# 展示图形
plt.show()

import matplotlib.pyplot as plt# 传统方式绘制
'''
plt.plot([3,5,8,10,32,12,9,6,21,22,23,25,25],[5,4,2,12,44,10,2,8,21,22,23,24,25],'o' #点类型为o
)
plt.title('Simple Scatter')
'''# 面向对象方式绘制
fig,ax = plt.subplots()
ax.plot([3,5,8,10,32,12,9,6,21,22,23,25,25],[5,4,2,12,44,10,2,8,21,22,23,24,25],'o' #点类型为o
)
ax.set_title('Simple Scatter')plt.show()

import matplotlib.pyplot as pltx = [1,2,3,4,5]
y = [3,6,1,8,2]width = 0.5plt.bar(x,y,width,color='r'
)plt.xticks(x,['a','b','c','d','e'])plt.show()

import numpy as np
import matplotlib.pyplot as pltnp.random.seed(0) #随机种子
mu,sigma = 100,20 #均值和标准差
a = np.random.normal(mu,sigma,size=100) #生成一个 均值/方差 给定的正态分布数组plt.hist(a, #直方图数据20, #直方的个数normed=1, #将y轴默认的数值出现个数归一化为出现的概率histtype='stepfilled', # stepfilled填充面积,step只有线条facecolor='b',alpha=0.75
)
plt.title('Histogram')plt.show()

import matplotlib.pyplot as pltlabels = ['class1','class2','class3','class4'] #名称
sizes = [15,30,45,10] #比例
explode = (0,0.1,0,0) #突出第二块,突出比例0.1plt.pie(sizes, #百分比explode=explode, #突出比例labels=labels, #名称autopct='%1.1f%%', #显示百分比方式shadow=False, #阴影效果startangle=90 #饼图起始的角度,度数,默认0为右侧水平180度开始，逆时针旋转
)
plt.axis('equal') #正圆形饼图,x/y轴尺寸相等.默认是扁图,plt.show()