pytsviz is a suite of tools to quickly analyze and visualize time series data. It is partially based on the tsviz R package.
The utils module contains a set of useful utilities, not strictly related to visualization, we often use (e.g. harmonics computation).
The viz module contains functions for plotting univariate time series, as well as performing quick qualitative analyses such as decompositions, correlations and so on.
Some visualizations mimic the R packages ggplot2 and forecast, as presented in the textbook Forecasting: principles and practice by Rob J. Hyndman and George Athanasopoulos. The online version of the text can be found here.
The preferred way to install the package is using pip, but you can also download the code and install from source
To install the package using pip:
pip install pytsvizAfter cloning, you need to install and setup Poetry. See instructions.
Then, inside the project directory, run:
poetry install
pre-commit installThen, you're good to go.
You're free to submit your pull requests. Just make sure they follow conventional commit rules. This can be enforced by the commitizen tool, which is also included among the package dependencies.
Please also make sure that function documentation is consistent. We are currently using Sphinx docstrings.
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