matplotlib-figures

Matplotlib styles for scientific plotting

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

Simulate and correct images for dichromatic color blindness

Format Matplotlib for a scientific thesis (depracated! use garrettj403/SciencePlots!)

A parallelised implementation of the K-means clustering algorithm using C Pthreads and separately using OpenMP specification for C

A python package for tagging, managing and presenting very large numbers of images created by matplotlib.

Small pieces of code

Custom QWidget for displaying historical stock graphs

In this repository, a buy-and-hold investment is studied using Python and a Monte Carlo approach.

Matplotlib style for scientific publications

This data project on Python uncovers and visualizes untapped patterns regarding all Nobel Prize laureates up to date.

Recognize Digits

The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:

matplotlib patch of a curly brace

tutorials for easy understanding of matplotlib and seaborn commands for graph plotting

Make plotting physics easier with stylesheets and context manager helpers

Courses on Data Science Fields