Python, Visualization

Fly me to the stars II: Explorative data analysis in Jupyter with python

What: Use Dygraphs within Jupyter notebooks
Why: Interactive explorative data analysis
How: Use jupyter_dygraphs for dygraphs plots within Jupyter

Installation

Jupyter_dygraphs can be easily imported directly from github:

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pip install git+https://github.com/frankdressel/jupyter_dygraphs.git#egg=jupyter_dygraphs

Usage

Import the jupyter_dygraphs module into your notebook:

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from jupyter_dygraphs import jupyter_dygraphs

Call the _dygraphplot_ function with dictionaries containing the pandas data frame and plot options:

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jupyter_dygraphs.dygraphplot({
    'df': pandas.read_csv('https://moduliertersingvogel.de/wp-content/uploads/2018/05/temperatures.csv'),
    'options': {
        'title': 'Title for test plot',
        'xlabel': 'Date',
        'ylabel':
        'Temperature'
    }
})

Example plot

Further information

See github.