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Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!
importplotly.plotlyaspyimportplotly.graph_objsasgotrace1=go.Scatter( x=[1, 2, 3], y=[4, 3, 2] ) trace2=go.Scatter( x=[20, 30, 40], y=[30, 40, 50], xaxis='x2', yaxis='y2' ) data= [trace1, trace2] layout=go.Layout( xaxis2=dict( domain=[0.6, 0.95], anchor='y2' ), yaxis2=dict( domain=[0.6, 0.95], anchor='x2' ) ) fig=go.Figure(data=data, layout=layout) py.iplot(fig, filename='simple-inset')
See https://plot.ly/python/reference/#layout-scene for more information and chart attribute options!
fromIPython.displayimportdisplay, HTMLdisplay(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />')) display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">')) !pipinstallgit+https://github.com/plotly/publisher.git--upgradeimportpublisherpublisher.publish( 'inset.ipynb', 'python/insets/', 'Inset Plots | plotly', 'How to make an inset graph in python.', title='Inset Plots | plotly', name='Inset Plots', has_thumbnail='true', thumbnail='thumbnail/insets.jpg', language='python', page_type='example_index', display_as='multiple_axes', order=3)