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Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

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refactoring code with List Comprehension which is more pythonic, concise, readable and efficient

Hi! Plotting fails when ran headlessly i.e. without iPython notebook, just the python interpreter due to the `iplot` function. E.g. `python canvas_demo.py` gives ```Python /chartpy/engine.py", line 1449, in plot_chart fig...

I've already got a basic API for using matplotlib, bokeh and plotly. I'm working on adding more plotting features for these. I'd also like to explore adding further Python chart...

help wanted

[Reference](https://github.com/cuemacro/chartpy/blob/724058853b1b26c1cb27abb1a1f404cc3f2720c2/chartpy_examples/canvas_demo.py#L26)

Hi! Chartpy looks to have similar goals as [HoloViews](https://holoviews.org) and [hvPlot](https://hvplot.holoviz.org), which also provide a unified API for creating Matplotlib, Bokeh, or Plotly plots. It would be great if Chartpy's...