Plotly is a great visualization library . It’s opensource and free to some extent and can be used in your next analytical project . The best thing about it is that it has wrappers around it in many language ( JS , GO, Python , R etc .. ) and It can also be used offline in a jupyter notebook . I am going to develop graphs using python but you can develop it any language of your choice. So without wasting time lets get started …
pip install plotly
- Most of the plots in plotly are supported by plotly’s graph_objs module Example : plotly.graph_objs.Scatter , plotly.graph_objs.Bar etc …..
- Every plot will basically have minimum two properties — data (which will be a list of plots/trace with containing x and y values ) and layout (which will contain the styling properties of graph like xlabel, ylabel, title, name etc … ) that will be pass as an argument to plotly.graph_objs.Figure function
- Rendering will be done as per the platform here i am using plotly.offilne module to render plots in an offline mode.
Plotly as a library has a lot to offer and support many different chart types including 3-d and network charts , subplots , animations and more . I hope you have got the idea of creating plots in plotly by now but if not, you can always view the official documentation for reference .
Plotly's Python graphing library makes interactive, publication-quality graphs online. Examples of how to make line…
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