Echarts是一款由百度开发的开源数据可视化JS库，而pyecharts是一款使用python调用echarts生成数据可视化的库，可实现折线图，饼状图，柱状图和地图等统计图表。
1.pyecharts——散点图from pyecharts.charts import Scatter
x = ['N0', 'N1', 'N2', 'N3', 'N4']
y = [1, 3, 5, 6, 8]
scatter = (Scatter().add_xaxis(x).add_yaxis('Name', y))
scatter.render_notebook()
输出结果：
2.pyecharts——直方图from pyecharts.charts import Bar
bar = (Bar().add_xaxis(x).add_yaxis('Name', y))
bar.render_notebook()
输出结果：
from pyecharts.charts import Pie
data=[['N0', 1],['N1',2],['N2', 3],['N3',6],['N4', 7],['N5',9]]
pie = (Pie().add('饼图', data))
pie.render_notebook()
输出结果：
from pyecharts.charts import Line
line = (Line().add_xaxis(x).add_yaxis('Name', y))
line.render_notebook()
输出结果：
from pyecharts.charts import Boxplot
x = ['Name']
y = [[1.1, 1.3, 1.3, 1.4, 1.5, 1.6, 1.9]]
boxplot = (Boxplot().add_xaxis(x).add_yaxis('Name', y))
boxplot.render_notebook()
输出结果：
from pyecharts.charts import Funnel
from pyecharts.faker import Faker
c = (
Funnel()
.add("商品", [list(z) for z in zip(Faker.choose(), Faker.values())] )
.set_global_opts(title_opts=opts.TitleOpts(title="Funnel"))
#.set_global_opts(title_opts=opts.TitleOpts(title="Funnel-Label（inside)"))
)
c.render_notebook()
输出结果：
from pyecharts.charts import Gauge
c = (Gauge().add(
"",
[("", 81.9)]).set_global_opts(title_opts=opts.TitleOpts(title="Gauge")))
c.render_notebook()
输出结果：
from pyecharts.charts import Map
from pyecharts.faker import Faker
c = (Map().add(
"Map", [list(z) for z in zip(Faker.provinces, Faker.values())],
"china").set_global_opts(title_opts=opts.TitleOpts(title="Map")))
c.render_notebook()
输出结果：
对于pyecharts，这里只是挑选了常见的图表进行展现、对其他图表有更多的需求，可以参考官方文档：https://gallery.pyecharts.org
