详解如何基于Pyecharts绘制常见的直角坐标系图表详解如何基于Pyecharts绘制常见

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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[143, 123, 69, 107, 90, 73]bar = (Bar().add_xaxis(x_data).add_yaxis('', y_data))bar.render("1.直方图.html")

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【详解如何基于Pyecharts绘制常见的直角坐标系图表】
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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[143, 123, 69, 107, 90, 73]line = (Line().add_xaxis(x_data).add_yaxis('', y_data))line.render("2.折线图.html")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[[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")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[143, 123, 69, 107, 90, 73]Scatter=(Scatter().add_xaxis(x_data).add_yaxis('', y_data))Scatter.render("4.散点图.html")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[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")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" date_list = ["2022/4/{}".format(i + 1) for i in range(30)]y_data = https://www.it610.com/article/[[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")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" data = https://www.it610.com/article/[[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")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[143, 123, 69, 107, 90, 33]pictorialBar = (PictorialBar().add_xaxis(x_data).add_yaxis('', y_data)) pictorialBar.render("8.象型图.html")

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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 Tablefrom pyecharts import options as optsfrom pyecharts.commons.utils import JsCodeimport randomimport datetimefrom pyecharts.globals import CurrentConfigCurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/" x_data = https://www.it610.com/article/['python', 'java', 'c','c++', 'R', 'excel']y_data = https://www.it610.com/article/[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")