Python 官方文档:入门教程 => 点击学习
目录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 :
# -*-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")
# -*-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")
# -*-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")
# -*-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")
# -*-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")
# -*-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")
# -*-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")
# -*-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")
# -*-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")
到此这篇关于如何基于Pyecharts绘制常见的直角坐标系图表的文章就介绍到这了,更多相关Pyecharts绘制直角坐标系图表内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网!
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本文标题: 详解如何基于Pyecharts绘制常见的直角坐标系图表
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