## Some examples for creating 2d and 3d weather plots using matplotlib and cartopy libraries in python3

Some examples for creating 2d and 3d weather plots using matplotlib and cartopy libraries in python3

Some examples for creating 2d and 3d weather plots using matplotlib and cartopy libraries in python3

A package to produce a carrot-inspired color palette for python/matplotlib

Painlessly create beautiful matplotlib plots

termplotlibtermplotlib is a Python library for all your terminal plotting needs. It aims to work like matplotlib. Line plotsFor line plots, termplotlib relies on gnuplot. With that installed, the code import termplotlib as

Flexitext is a Python library that makes it easier to draw text with multiple styles in Matplotlib. This library is inspired and influenced by the R package ggtext.

Some examples with MatPlotLib library in Python

Insert SVGs into matplotlib

MPL Plotter is a Matplotlib based Python plotting library built with the goal of achieving publication-quality plots in an efficient and comprehensive way.

A Google Charts API for Python 2 and 3, meant to be used as an alternative to matplotlib.

A collection of neat and practical data science and machine learning projects

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.

geoplot is a high-level Python geospatial plotting library.

Plot on map projections (with coastlines and political boundaries) using matplotlib.

Official Matplotlib cheat sheets

Design your own matplotlib stylefile interactively

Code for "Causal autoregressive flows" - AISTATS, 2021

Image restoration with neural networks but without learning

A visualization of the Collatz Conjecture for any initial positive integer, n, checking the sequence until it should eventually narrow down to 1.

ROBA: Rotation-Only Bundle Adjustment

This uses matplotlib.colors to get color names and RGB values and prints with ANSI escape sequences.

Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize time series collections.

A Python library for plotting hockey rinks with Matplotlib.

3D animation of Lorenz's Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method.

Attractors is a package for simulation and visualization of strange attractors.

This package creates clean and beautiful plots that work on light and dark backgrounds.

This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.

A simple python script using Numpy and Matplotlib library to plot a Mohr's Circle when given a two-dimensional state of stress.