easy Highcharts & Highstock, dynamic plots from pandas dataframes in the Jupyter notebook
Project description
ezhc stands for easy Highcharts. Highcharts is a popular, flexible, versatile, user friendly visualisation javascript library. Currently only Highcharts and Highstock, not Highmap.
ezhc is a wrapper that lets you transparently access the full configuration options of the library as described in their APIs, directly from the Jupyter notebook: + Highcharts + Highstock
You just need to store the data in a pandas dataframe. See the examples in the notebook.
To install run from command line:
pip install ezhc
There are exceptions to the transparent wrapping approach:
I added 2 datatables (datatables.net)
linked to the Highstock call.
A footer (described in HTML) can be added below a plot. If the footer
contains an image, it will be burned into the standalone file upon
save.
Cf. examples in the notebook.
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