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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ezhc-0.6.1.tar.gz
(848.5 kB
view details)
File details
Details for the file ezhc-0.6.1.tar.gz
.
File metadata
- Download URL: ezhc-0.6.1.tar.gz
- Upload date:
- Size: 848.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 27fff731802c3a6b80da92a49de4e445929e52bf2ddd3ba8be5800147eea915b |
|
MD5 | 6d390f0ddd76fb1aa89656fe1bb7dac8 |
|
BLAKE2b-256 | d09b40b5fa28364fad59310bc622983f0f37fffae98b0f51c8b1c1137d75b306 |