A Python tutorial showing how to create smooth, interactive charts with market data from Databento and TradingView’s Lightweight Charts library.

Explore our curated collection of the finest Python charts, handpicked for their superior design and accuracy. Go beyond the defaults with chart examples that are both visually stunning and instructive.

This section provides a few cheat sheets related with python, data wrangling and data visualization. Even with a perfect understanding of python and its libraries, it's almost impossible to remember the syntax of each function of the ecosystem. That's where cheatsheets are useful 🔥!

👋 This page displays all the charts available in the python graph gallery. The vast majority of them are built using matplotlib, seaborn and plotly. But many other python charting libraries are used too. Click on an image to read the full tutorial with explanation and reproducible code 😍!

Take a look R or Python for dataviz? In the world of data science, 2 main programming languages dominate: Rand Python. They both have pros and cons. But when it comes to Data Visualization, I’ve always been surprised to see how many stunning charts are produced by the R community compared to Python 🤔.

Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for …

Python chart library for plotting charts and graphs and drawing meters and gauges. Easy to use, has extensive chart types, and can output charts as PDF, SVG, PNG, JPG and BMP images.

Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

Wallchart This repository contains a tool to manage (student) union members and track digital wall charts. It's specifically crafted for the University of Hawaii, Manoa but could be modified for a more general purpose. The technology is based on Python using the Flask web framework.

Learn data visualization in Python with PYTHON CHARTS! Create beautiful graphs step-by-step with matplotlib, seaborn and plotly with examples.