pyecharts Notebook

Notebook

Different Notebook environments have their own different rendering requirements, pyecharts has done adaptation processing at the bottom, but because we cannot  import pyecharts know which Notebook environment the user is using, we need to declare the environment type at the top when using it .

Jupyter Notebook

Jupyter Notebook directly calls  render_notebook to render charts anytime and anywhere, the default is  Jupter-Notebook.

Jupyter Lab

There are two points to note when rendering in Jupyter Lab

1. The notebook type is declared at the top, and must be declared before introducing modules such as pyecharts.charts

    from pyecharts.globals import CurrentConfig, NotebookType
    CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB

2. In the first rendering, the call  load_javascript() will preload the basic JavaScript file into the Notebook. If other graphics cannot be rendered later, please try to call it again, because  load_javascript only the most basic js references will be pre-loaded. Themes, maps and other js files need to be loaded again on demand .
3. load_javascript() And  render_notebook() methods need to call in a different cell, which is inline Notebook mechanism, in fact, we are essentially returned with  _html_,  _javascript_ class objects. The notebook will automatically call these methods.

 

Nteract

There are two points to note when rendering with Nteract

1. The notebook type is declared at the top, and must be declared before introducing modules such as pyecharts.charts

    from pyecharts.globals import CurrentConfig, NotebookType
    CurrentConfig.NOTEBOOK_TYPE = NotebookType.NTERACT

nteract calls the  render_notebook method to render

from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.NTERACT

import pyecharts.options as opts
from pyecharts.charts import Bar, Line

bar = (
    Bar()
    .add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
    .add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
    .add_yaxis("商家B", [15, 6, 45, 20, 35, 66])
    .set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题"))
)

bar.render_notebook()

Zeppelin

Zeppelin needs attention when rendering

1. The notebook type is declared at the top, and must be declared before introducing modules such as pyecharts.charts

    from pyecharts.globals import CurrentConfig, NotebookType
    CurrentConfig.NOTEBOOK_TYPE = NotebookType.ZEPPELIN

Zeppelin calls the  render_notebook method to render

%python
from pyecharts.globals import CurrentConfig, NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.ZEPPELIN

import pyecharts.options as opts
from pyecharts.charts import Bar

bar = (
    Bar()
    .add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
    .add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
    .add_yaxis("商家B", [15, 6, 45, 20, 35, 66])
    .set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题"))
)

bar.render_notebook()