Multiplatform plotting library based on the Grammar of Graphics
-
Updated
Nov 15, 2024 - Kotlin
Multiplatform plotting library based on the Grammar of Graphics
Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
MCMC sample analysis, kernel densities, plotting, and GUI
A python package for producing publication quality images using matplotlib.
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
Embed visualizations and code from Observable notebooks in Jupyter
Python toolkit for GEOS-Chem. Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.
An improved plotting module for SymPy
Python data visualization book
How to use matplotlib and seaborn to generate high-quality figures for a report, manuscript or dissertation.
Gnuplot scripts and figures auto-generated in Python. Production-ready, Latex and Tikz rendering.
A python project to analyze your messages from Facebook's Messenger
reaktplot is an easy-to-use C++ and Python plotting library powered by plotly.
Quickly generate plots in Python by simply describing them through text - e.g. use "create a scatter plot with name labels" instead of endlessly searching stackoverflow.
A flask based web server for plotting and displaying correction graphs for 42school and 1337school
Powerful math tools for equation solving, calculus, vectors, mathematical series, matrices, etc.
A collection of utilities that plot weather data primarily into time series animations.
Qt-based graphics library for interactive live data visualisation and analysis
Add a description, image, and links to the plotting-in-python topic page so that developers can more easily learn about it.
To associate your repository with the plotting-in-python topic, visit your repo's landing page and select "manage topics."