matplotlib plot (line graph / scatter / bar / histogram) Baidu echarts drawing (https://www.echartsjs.com/examples/zh/index.html)

line chart

from matplotlib import pyplot
from matplotlib import  font_manager
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\simhei.ttf")#引用中文字体，该字体为本地字体，word字体一般在此路径
a = range(11, 31)
y = [1, 0, 1, 1, 2, 4, 3, 2, 3, 4, 4, 5, 6, 5, 4, 3, 3, 1, 1, 1, ]
y2 = [ 0, 1, 1, 2, 4, 3, 2, 3, 4, 4, 5, 6, 5, 4, 3, 3, 1, 1, 1, 1]
pyplot.figure(figsize=(15, 15), dpi=100)  # 图形设置
pyplot.plot(a, y,linestyle=":")  # 绘制折线图，要想增加图例还需要引用pyplot.legend()函数,linestyle表示虚线实线等风格
pyplot.plot(a, y2,linestyle="--")   #绘制第二个折线图,":"表示点虚线
#引用pyplot.legend()函数中的labels来增加图例,只有此处用汉字使用prop,其他都用properties,loc表示位置，具体可参考legend文档

_a = ["{}years".format(i) for i in a]  # 用_a代替a,这样可以不仅显示数字，还能显示字符串
pyplot.xticks(a[::5], _a[::5], rotation=45,fontproperties=my_font)  # x坐标的刻度,并且用_a代替a,这样可以不仅显示数字，还能显示字符串，fontproperties为引用设置中文，a[::5}表示对x设置5的步长,每隔5显示，取步长只能为list类型的数值
pyplot.yticks(range(min(y), max(y) + 1))  # y坐标的刻度

pyplot.xlabel("年龄",fontproperties=my_font)  # x轴标签
pyplot.ylabel("次数",fontproperties=my_font)  # y轴标签
pyplot.title("lods&times",fontproperties=my_font)  # 图形的标题

pyplot.legend(labels=("自己","同桌"),prop=my_font,loc="upper left")
pyplot.grid(alpha=0.4,linestyle=":")   #根据x,y轴画网格线,alpha=0.4代表网格线的透明度，可不要,网格线也可以设置虚线
pyplot.show()
pyplot.savefig()  #保存，自动保存在当前文档

Summary:

Other matplotlib use please refer to the official website, inside it contains a variety of graphics rendering method:
https://matplotlib.org/gallery/index.html
Scatter
The only difference with a line chart

pyplot.scatter(a,y3) #绘制散点图

Other methods with reference to FIG polyline

from matplotlib import pyplot
from matplotlib import  font_manager
import  random
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\simhei.ttf")

x1=range(1,32)
x2=range(51,82)
y1= [ random.randint(10,25) for i in range(31)]
y2 = [random.randint(0,15) for i in  range(31)]
pyplot.figure(figsize=(15, 15), dpi=100) 
pyplot.scatter(x1,y1)
pyplot.scatter(x2,y2)#绘制散点图，由于3月10月分别用不同的坐标轴，因此绘制散点图时分别传入X1,X2

x=list(x1)+list(x2)  #只有list类型的才能相加,因此要先转化为list类型
x_ticks = ["3月{}日".format(i) for i in x1]
x_ticks  += ["5月{}日".format(i-50) for i in x2]
# x坐标的刻度,并且用x_ticks代替x,这样可以不仅显示数字，还能显示字符串，fontproperties为引用设置中文,x[::5}表示对x设置5的步长,每隔5显示，取步长只能为list类型的数值
pyplot.xticks(x[::5], x_ticks[::5], rotation=45,fontproperties=my_font)
pyplot.yticks(range(0,26))

pyplot.xlabel("月份",fontproperties=my_font) 
pyplot.ylabel("温度 单位(C）",fontproperties=my_font) 
pyplot.title("3月&10月份温度",fontproperties=my_font)  

pyplot.legend(labels=("3月份","5月份"),prop=my_font,loc="upper left")
pyplot.grid(alpha=0.4,linestyle="-.") 

pyplot.show()
pyplot.savefig()  

Bar
only difference

pyplot.bar(x,y)
pyplot.barh(range(len(a)),b,height=0.5) #横着的条形图

The other was the broken line, scatter, like

from matplotlib import pyplot
from matplotlib import  font_manager
my_font=font_manager.FontProperties(fname="C:\Windows\Fonts\simhei.ttf")

a = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5:最后的骑士","摔跤吧!爸爸","加勒比海盗5:死无对证",
     "金刚:骷髅岛","极限特工:终极回归","生化危机6:终章","乘风破浪","神偷奶爸3","智取威虎山","大闹天竺","金刚狼3:殊死一战","蜘蛛侠:英雄归来",
     "悟空传","银河护卫队2","情圣","新木乃伊",]
b = [56.01, 26.94, 17.53, 16.49, 15.45, 12.96, 11.8, 11.61, 11.28, 11.12, 10.49, 10.3,8.75, 7.55, 7.32, 6.99, 6.88, 6.86, 6.58, 6.23]
pyplot.figure(figsize=(15, 15), dpi=100)
pyplot.bar(range(len(a)),b,width=0.5) #绘制柱状图，由于画图时不是直接引用fontproperties,因此先用len的数字，然后在替换,width设置柱状图的宽度
# pyplot.barh(range(len(a)),b,height=0.5)
 #绘制横着的柱状图，由于画图时不是直接引用fontproperties,因此先用len的数字，然后在替换,由于横着画图，因此此处使用height而不是width设置柱状图的宽度

pyplot.xticks(range(len(a)), a, rotation=45,fontproperties=my_font)
pyplot.xlabel("电影",fontproperties=my_font)
pyplot.ylabel("票房",fontproperties=my_font)
pyplot.title("不同电影票房",fontproperties=my_font)

pyplot.grid(alpha=0.4,linestyle=":")

pyplot.show()
pyplot.savefig()

Draw a bar graph repeatedly
Note: You need to talk about the second X graphic width from moving to the right, that is just the width of the bar graph, bar graph can just linked to


the histogram (not only statistics on the number of innings That raw data in order to draw a histogram, statistics on how many of each type of bar chart can be used directly)

pyplot.hist(a,num_bins)#num_bins为组数