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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.
Release History

Release History

This version
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0.6.4

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0.6.3

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0.6.2

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0.6.1

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0.6

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0.5.15

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0.5.14

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0.5.13

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0.5.12

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0.5.11

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0.5.6

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0.5.5

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0.5.3

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0.4.8

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
ezhc-0.6.4.tar.gz (853.6 kB) Copy SHA256 Checksum SHA256 Source Jan 14, 2017

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