import matplotlib.pyplot as plt

plt.xticks([x坐标],[标签字符串])#设置x坐标点标签的

#x、y轴标签与图形标题

plt.xlabel('x主题类别')

plt.ylabel('y主题')

plt.title('主标题')

#图形数据标签点添加数据

for a,b in zip([12,13,14,15,16,17],[20.1,30.2,10,2,3,5.6]):

    plt.text(a, b+0.1, '%.0f(min)' % b, ha='right', va= 'bottom',fontsize=7)

#a是x,b是y,text参数分别是x,y,数据标签值(在x和y相交的点绘制数据)

plt.pie(),plt.bar(),plot() #饼子图，柱子图，曲线图

plt.legend(['不值得买','值得买'],loc='upper right',fontsize=10) #标签格,必须在图的下方声明

plt.grid() #出网格线

plt.ylim(0,270)#y轴范围

import matplotlib.pyplot as plt

labels   = ['usa','bj','sh','China']  #标签

quants   = [100,200,300,400]  #标签数据

colors  = ["pink","coral","yellow","orange","red"]

#调整图形高度,对饼子图有效

plt.figure(1, figsize=(6,6))

#饼子图爆炸

def explode(label, target='China'):

    if label == target: return 0.1

    else: return 0

expl = map(explode,labels)

plt.pie(quants, explode=expl, colors=colors, labels=labels,

            autopct='%1.1f%%',pctdistance=0.7, shadow=True)

plt.show()

import matplotlib.pyplot as plt

for a,b in zip([12,13,14,15,16,17],[20.1,30.2,10,2,3,5.6]):

    plt.text(a, b+0.1, '%.0f(min)' % b, ha='right', va= 'bottom',fontsize=7)

plt.xticks([12,13,14,15,16,17],['a','b','c','d','e','f'])

plt.plot([12,13,14,15,16,17],[20.1,30.2,10,2,3,5.6])  #plt.plot([x坐标],[y坐标]

plt.show()

import matplotlib.pyplot as plt

for a,b in zip([12,13,14,15,16,17],[20.1,30.2,10,2,3,5.6]):

    plt.text(a, b+0.1, '%.0f(min)' % b, ha='right', va= 'bottom',fontsize=7)

plt.xticks([12,13,14,15,16,17],['a','b','c','d','e','f'])

plt.bar([12,13,14,15,16,17],[20.1,30.2,10,2,3,5.6],width=0.35,align="center",color="y",alpha=0.8) 

plt.show()