plotnine

Plotnine is a powerful data visualization library in Python that implements the Grammar of Graphics, similar to the popular R package ggplot2. It allows users to create complex and aesthetically pleasing visualizations by layering components, such as data, aesthetics, and geometric objects. With a syntax that closely mirrors ggplot2, Plotnine is particularly appealing to those familiar with R, making the transition to Python seamless. The library abstracts many low-level details, enabling users to focus on crafting meaningful visual representations of their data. Overall, Plotnine is an excellent choice for anyone looking to enhance their data visualization capabilities in Python.

Plotnine plot deconstruction: visualizing the billboard hot 100

Towards Data Science

As far as I am concerned, ggplot2 is the best plotting package out there. So when I found out there was an implementation of the Grammar of Graphics for Python, plotnine, I jumped at the opportunity…

Introduction to Plotnine as the Alternative of Data Visualization Package in Python

Towards Data Science

Data Visualization is the graphical representation of data. Plotnine is the implementation of the R package ggplot2 (grammar of graphics) in Python

ggplot: Grammar of Graphics in Python with Plotnine

Towards Data Science

Do you wish that Python could emulate the superb visualizations that ggplot gives you in the R language? Well, it can. We are going to explore the capabilities of Plotnine, a visualization library…

Graphing Your Data Like ggplot in Python With plotnine

Real Python

A grammar of graphics is a high-level tool that allows you to create data plots in an efficient and consistent way. It abstracts most low-level details, letting you focus on creating meaningful and be...

Create a Scientific Data Visualization from Scratch Using Plotnine in Python

Towards Data Science

This is the first part of the data visualization tutorial series where we will be showing you how to get started with python graphs using plotnine

Matplotlib, Seaborn, Plotly and Plotnine Comparison

Python in Plain English

Matplotlib is a data visualization library in Python that is often used to create static, two-dimensional plots. Here is an example of how you might use Matplotlib to create a simple line plot…

Step-by-Step Guide to Time Series Visualization Using Plotnine

Towards Data Science

Visualization is a quick and effective way of getting insights from your data. This article provides a step-by-step guide for exploring a time series using graphics. We’ll use 6 different plots to unc...

Meet patchworklib: A Subplot Manager for Intuitive Layout in Matplotlib

Python in Plain English

Arrange multiple Matplotlib plots quickly using only the ‘|’ and ‘/’ operators with patchworklib. Photo by Carlos Muza on Unsplash Matplotlib is the most utilized and famous visualization package in ...

Get Started with Plotly @ Jupyter Lab

Analytics Vidhya

What is Plotly? It’s an interactive Python graphing library. You can make many beautiful and engaging charts using Plotly, such as line plots, scatter plots, box plots, histograms, and heatmaps.

Data Visualization in Python like in R’s ggplot2

Towards Data Science

If you love plotting your data with R’s ggplot2 but you are bound to use Python, the plotnine package is worth to look into as an alternative to matplotlib. In this post I show you how to get started…...

Python:Plotly

Codecademy

Plotly is a Python library for creating interactive visualizations and charts, offering a variety of visualization options like line graphs , bar charts , heatmaps , and scatter plots . Installation T...

Interactive Ternary Plots with Plotly

Towards Data Science

Plotly Python (plotly.py) is an open-source plotting library built on plotly javascript (plotly.js). One of the things I like about plotly.py is that it offers a high-level API (plotly express) and a…...