Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
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Updated
Feb 10, 2023 - Python
Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
MCMC sample analysis, kernel densities, plotting, and GUI
Multiplatform plotting library based on the Grammar of Graphics
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.
Python toolkit for GEOS-Chem. Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.
A python package for producing publication quality images using matplotlib.
An improved plotting module for SymPy
Embed visualizations and code from Observable notebooks in Jupyter
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
Python data visualization book
A python project to analyze your messages from Facebook's Messenger
TEC, foF2, and DST Index plotting
How to use matplotlib and seaborn to generate high-quality figures for a report, manuscript or dissertation.
reaktplot is an easy-to-use C++ and Python plotting library powered by plotly.
Using flask, bokeh, and yfinance, the webapp show a chart with stock price history
Model of the propagation of bandgaps in one dimensional photonic crystals.
Collection of data visualization resources for Python with cheat sheets and 24+ plot recipe examples using pandas, matplotlib, seaborn, and plotly
Qt-based graphics library for interactive live data visualisation and analysis
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