详解如何基于Pyecharts绘制常见的直角坐标系图表

Glory ·

更新时间:2024-09-20

· 786 次阅读

1.直方图

2.折线图

3.箱形图

4.散点图

5.带涟漪效果散点图

6.k线图

7.热力图

8.象型图

9.层叠图

总结

1.直方图

# -*-coding:utf-8 -*-
# @Time :  21:02
# @Author: 黄荣津
# @File : 1.直方图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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)
      )
bar.render("1.直方图.html")

2.折线图

# -*-coding:utf-8 -*-
# @Time :  21:19
# @Author: 黄荣津
# @File : 2.折线图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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)
      )
line.render("2.折线图.html")

3.箱形图

# -*-coding:utf-8 -*-
# @Time :  21:25
# @Author: 黄荣津
# @File : 3.箱型图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"
x_data = ['python', 'java', 'c','c++', 'R', 'excel']
y_data = [[random.randint(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))
)
box.render("3.箱型图.html")

4.散点图

# -*-coding:utf-8 -*-
# @Time :  21:58
# @Author: 黄荣津
# @File : 4.散点图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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)
      )
Scatter.render("4.散点图.html")

5.带涟漪效果散点图

# -*-coding:utf-8 -*-
# @Time :  22:23
# @Author: 黄荣津
# @File : 5.带涟漪效果散点图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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)
           )
effectScatter.render("5.带涟漪效果散点图.html")

6.k线图

# -*-coding:utf-8 -*-
# @Time :  22:27
# @Author: 黄荣津
# @File : 6.k线图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"
date_list = ["2022/4/{}".format(i + 1) for i in range(30)]
y_data = [[random.randint(200, 350) for i in range(20)] for item in date_list]
kline = (Kline()
         .add_xaxis(date_list)
         .add_yaxis('', y_data)
         )
kline.render("6.k线图.html")

7.热力图

# -*-coding:utf-8 -*-
# @Time :  22:36
# @Author: 黄荣津
# @File : 7.热力图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"
data = [[i, j, random.randint(0, 100)] for i in range(24) for j in range(7)]
hour_list = [str(i) for i in range(24)]
week_list = ['周日', '周一', '周二', '周三', '周四', '周五', '周六']
heat = (HeatMap()
        .add_xaxis(hour_list)
        .add_yaxis("", week_list, data)
        )
heat.render("7.热力图.html")

8.象型图

# -*-coding:utf-8 -*-
# @Time :  22:46
# @Author: 黄荣津
# @File : 8.象型图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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)
                )
pictorialBar.render("8.象型图.html")

9.层叠图

# -*-coding:utf-8 -*-
# @Time :  23:02
# @Author: 黄荣津
# @File : 9.层叠图.py
# @Software: PyCharm
from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime
from pyecharts.globals import CurrentConfig
CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/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 = bar.overlap(line) #利用第一个图表为基础，往后的数据都将会画在第一个图表上
overlap.render("9.层叠图.html")