Explain in detail how to draw common Cartesian coordinate system charts based on Pyecharts

# -*-coding:utf-8 -*-
# @Time :  21:02
# @Author: Huang Rongjin
# @File : 1.histogram.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 73]
bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
      )
("1. histogram.html")

# -*-coding:utf-8 -*-
# @Time :  21:19
# @Author: Huang Rongjin
# @File : 2. line graph.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 73]
line = (Line()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
      )
("2. line graphs.html")

# -*-coding:utf-8 -*-
# @Time :  21:25
# @Author: Huang Rongjin
# @File : 3. box diagram.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [[(100, 150) for i in range(20)] for item in x_data]
 
class Box:
    pass
 
box =( Boxplot()
.add_xaxis(x_data)
.add_yaxis("", (y_data))
)
("3. box diagram.html")

# -*-coding:utf-8 -*-
# @Time :  21:58
# @Author: Huang Rongjin
# @File : 4. Scatterplot.py
# @Software: PyCharm
 
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 73]
Scatter=(Scatter()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
      )
("4. scatterplot.html")

# -*-coding:utf-8 -*-
# @Time :  22:23
# @Author: Huang Rongjin
# @File : 5. Scatterplot with ripple effect.py
# @Software: PyCharm
 
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 73]
 
effectScatter = (EffectScatter()
           .add_xaxis(x_data)
           .add_yaxis('', y_data)
           )
 
("5. scatterplot with ripple effect.html")

# -*-coding:utf-8 -*-
# @Time :  22:27
# @Author: Huang Rongjin
# @File : line graph.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
date_list = ["2022/4/{}".format(i + 1) for i in range(30)]
y_data = [[(200, 350) for i in range(20)] for item in date_list]
 
kline = (Kline()
         .add_xaxis(date_list)
         .add_yaxis('', y_data)
         )
 
("Line Chart.html")

# -*-coding:utf-8 -*-
# @Time :  22:36
# @Author: Huang Rongjin
# @File : 7. heat map.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
data = [[i, j, (0, 100)] for i in range(24) for j in range(7)]
hour_list = [str(i) for i in range(24)]
week_list = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']
 
heat = (HeatMap()
        .add_xaxis(hour_list)
        .add_yaxis("", week_list, data)
        )
 
("7. heatmap.html")

# -*-coding:utf-8 -*-
# @Time :  22:46
# @Author: Huang Rongjin
# @File : 8. pictogram.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 33]
pictorialBar = (PictorialBar()
                .add_xaxis(x_data)
                .add_yaxis('', y_data)
                )
 
("8. pictogram.html")

# -*-coding:utf-8 -*-
# @Time :  23:02
# @Author: Huang Rongjin
# @File : 9. Cascading Maps.py
# @Software: PyCharm
 
from  import *
from  import Table
from pyecharts import options as opts
from  import JsCode
import random
import datetime
from  import CurrentConfig
CurrentConfig.ONLINE_HOST = "/lib/pyecharts_assets/"
 
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [143, 123, 69, 107, 90, 73]
bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
       )
 
line = (Line()
        .add_xaxis(x_data)
        .add_yaxis('', y_data)
        )
 
overlap = (line) #Use the first chart as a base and all subsequent data will be plotted on the first chart.
("9. cascading map.html")