首先需要在激活anaconda环境,并在anaconda的python环境中安装pyecharts数据可视化库。
pip install pyecharts
pyecharts官网:pyecharts - A Python Echarts Plotting Library built with love.
pyecharts示例代码:Document
注意将.render("xxx.html")注释,改成在最后调用c.render_notebook(),这样才能在jupyter中显示。
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.commons.utils import JsCode
from pyecharts.globals import ThemeType
list2 = [
{"value": 12, "percent": 12 / (12 + 3)},
{"value": 23, "percent": 23 / (23 + 21)},
{"value": 33, "percent": 33 / (33 + 5)},
{"value": 3, "percent": 3 / (3 + 52)},
{"value": 33, "percent": 33 / (33 + 43)},
]
list3 = [
{"value": 3, "percent": 3 / (12 + 3)},
{"value": 21, "percent": 21 / (23 + 21)},
{"value": 5, "percent": 5 / (33 + 5)},
{"value": 52, "percent": 52 / (3 + 52)},
{"value": 43, "percent": 43 / (33 + 43)},
]
c = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
.add_xaxis([1, 2, 3, 4, 5])
.add_yaxis("product1", list2, stack="stack1", category_gap="50%")
.add_yaxis("product2", list3, stack="stack1", category_gap="50%")
.set_series_opts(
label_opts=opts.LabelOpts(
position="right",
formatter=JsCode(
"function(x){return Number(x.data.percent * 100).toFixed() + '%';}"
),
)
)
)
c.render_notebook()
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker
c = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
#.render("bar_base.html")
)
c.render_notebook()
from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker
c = (
Pie()
.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
.set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
#.render("pie_base.html")
)
c.render_notebook()
import pyecharts.options as opts
from pyecharts.charts import Line
from pyecharts.faker import Faker
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(title_opts=opts.TitleOpts(title="Line-基本示例"))
#.render("line_base.html")
)
c.render_notebook()
from pyecharts import options as opts
from pyecharts.charts import Tree
data = [
{
"children": [
{"name": "B"},
{
"children": [{"children": [{"name": "I"}], "name": "E"}, {"name": "F"}],
"name": "C",
},
{
"children": [
{"children": [{"name": "J"}, {"name": "K"}], "name": "G"},
{"name": "H"},
],
"name": "D",
},
],
"name": "A",
}
]
c = (
Tree()
.add("", data)
.set_global_opts(title_opts=opts.TitleOpts(title="Tree-基本示例"))
#.render("tree_base.html")
)
c.render_notebook()
from pyecharts import options as opts
from pyecharts.charts import Scatter
from pyecharts.faker import Faker
c = (
Scatter()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-显示分割线"),
xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
)
#.render("scatter_splitline.html")
)
c.render_notebook()
from pyecharts import options as opts
from pyecharts.charts import Graph
nodes = [
{"name": "结点1", "symbolSize": 10},
{"name": "结点2", "symbolSize": 20},
{"name": "结点3", "symbolSize": 30},
{"name": "结点4", "symbolSize": 40},
{"name": "结点5", "symbolSize": 50},
{"name": "结点6", "symbolSize": 40},
{"name": "结点7", "symbolSize": 30},
{"name": "结点8", "symbolSize": 20},
]
links = []
for i in nodes:
for j in nodes:
links.append({"source": i.get("name"), "target": j.get("name")})
c = (
Graph()
.add("", nodes, links, repulsion=8000)
.set_global_opts(title_opts=opts.TitleOpts(title="Graph-基本示例"))
#render("graph_base.html")
)
c.render_notebook()
import datetime
import random
from pyecharts import options as opts
from pyecharts.charts import Calendar
begin = datetime.date(2017, 1, 1)
end = datetime.date(2017, 12, 31)
data = [
[str(begin + datetime.timedelta(days=i)), random.randint(1000, 25000)]
for i in range((end - begin).days + 1)
]
c = (
Calendar()
.add("", data, calendar_opts=opts.CalendarOpts(range_="2017"))
.set_global_opts(
title_opts=opts.TitleOpts(title="Calendar-2017年微信步数情况"),
visualmap_opts=opts.VisualMapOpts(
max_=20000,
min_=500,
orient="horizontal",
is_piecewise=True,
pos_top="230px",
pos_left="100px",
),
)
#.render("calendar_base.html")
)
c.render_notebook()