Skip to main content

IPython/Jupyter notebook magic for generating JS flowcharts.

Project description

flowchart_js_jp_proxy_widget

jp_proxy_widget class wrapper for flowchart.js

Binder

We can also script the production of the flowchart:

from jp_flowchartjs.jp_flowchartjs import FlowchartWidget

fcode='''
st=>start: Start
e=>end: End
op1=>operation: Generate
op2=>parallel: Evaluate
st(right)->op1(right)->op2
op2(path1, top)->op1
op2(path2, right)->e
'''

testEmbed = FlowchartWidget()
testEmbed.charter(fcode)
testEmbed
  • return SVG embed: testEmbed.embed_svg()
  • return SVG data: testEmbed.get_svg()
  • return PNG embed: testEmbed.embed_png()
  • return PNG raw: testEmbed.getpng()
  • oneliner return SVG: FlowchartWidget().charter(fcode, embed=True)

We can also define a really simple magic:

from IPython.core.magic import register_cell_magic

@register_cell_magic
def flowchart_magic(line, cell):
    "Send code to simulator."
    return FlowchartWidget().charter(cell, embed=True)

and then call as:

%%flowchart_magic

st=>start: Start
e=>end: End
op1=>operation: Generate
op2=>parallel: Evaluate
st(right)->op1(right)->op2
op2(path1, top)->op1
op2(path2, right)->e

If you import jp_flowchartjs.jp_flowchartjs the magic will be available.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jp_flowchartjs-0.0.1.tar.gz (2.9 kB view hashes)

Uploaded Source

Built Distribution

jp_flowchartjs-0.0.1-py3-none-any.whl (3.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page