{"repo":"tpvasconcelos/ridgeplot","free":true,"listed":false,"github":"https://github.com/tpvasconcelos/ridgeplot","clone":"git clone https://github.com/tpvasconcelos/ridgeplot.git","description":"Beautiful ridgeline plots in Python","language":"Python","stars":242,"topics":["plotly","ridgeline","plot","plotting","ggridges","python","distplot","visualization","data-analysis","data-science"],"license":"MIT","category":"analytics","readme_excerpt":"ridgeplot: beautiful ridgeline plots in Python ----------------- ridgeplot is a Python package that provides a simple interface for plotting beautiful and interactive ridgeline plots within the extensive Plotly ecosystem. Installation ridgeplot can be installed and updated from PyPi using pip: For more information, see the installation guide. Getting started Take a look at the getting started guide, which provides a quick introduction to the ridgeplot library. The full official documentation can be found at: https://ridgeplot.readthedocs.io/en/stable/ Basic example For those in a hurry, here's a very basic example on how to quickly get started with the ridgeplot() function. Flexible configuration In this example, we will try to replicate the first ridgeline plot in this from Data to Viz post. The example in the post was created using the \"Perception of Probability Words\" dataset and the popular ggridges R package. In the end, we will see how the ridgeplot Python library can be used to create a (nearly) identical plot, thanks to its extensive configuration options. More examples For more examples, take a look at the getting started guide. For instance, this example demonstrates how you can also draw multiple traces per row in your ridgeline plot:","default_branch":null,"files":null,"tree":[],"storefront":"/r/tpvasconcelos","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tpvasconcelos/ridgeplot/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}